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基于知识网络的肿瘤学衍生与发展研究
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摘要
研究目的
     本课题旨在采用理论联系实际,定性和定量相结合的方法,将知识网络背景下的科学计量学理论与肿瘤学学科研究实践相结合,将理论、模型、实证评价和对策研究融为一体,试图构建肿瘤学学科及其主流分支学科的科学知识图谱,揭示肿瘤学学科前沿热点研究领域及历史演变轨迹,探寻知识网络角度的肿瘤学学科知识结构及其衍生与发展,明晰学科在群系统动态演进过程中的定位。通过对海量国际国内肿瘤学权威数据的挖掘和分析,为中国肿瘤学研究及时追踪国际前沿,加强国际合作提供参考;为中国肿瘤学学科发展和生物医学科技管理提供决策依据。
     数据来源
     国际数据:收集Web of Science的SCI-EXPANDED, CPCI-SSH数据库和生物医学领域PubMed数据库1912-2012年的相关肿瘤学数据;
     国内数据:收集中国科学引文数据库涵盖的肿瘤学领域的全部期刊(10种)作为主要的数据来源,下载10种期刊近10年发表的所有论文的题录信息。
     研究方法
     1.文献分析法:通过纸质文献和电子期刊文献检索已发表的相关文献,获取原始资料并进行相关分析;
     2.可视化方法集成分析:主要有关键词分析、文献共被引分析、作者共被引分析、期刊共被引分析及学科共被引分析;
     3.多元统计方法集成分析:主要包括聚类分析、多维尺度分析、因子分析和主成分分析;
     4.社会网络分析软件和统计软件的综合应用:运用多视角知识网络化分析软件CiteSpace Ⅱ、Pajek、Bibexcel以及SPSS软件、词频分析统计软件Wordsmith构建各种知识网络,并利用社会网络分析法、合著网络分析法等综合分析;
     5.实证研究方法:采用规范研究与实证研究相结合的方法,对基于理论假设的肿瘤学新兴学科和交叉学科—表观遗传学进行实证研究,同时对发病率较高的肺癌的百年演变历史进行案例分析。
     研究结果
     1.绘制出的近10年肿瘤学科学知识图谱可以解读出肿瘤学top20核心作者、核心机构及核心国家。结果表明,近10年的肿瘤学研究中,美国一直处于领先和核心地位,中国是唯一一个进入top10核心国家的发展中国家。当代肿瘤学的研究前沿主要集中在4个方面:(1)癌基因异常表达机制;(2)肿瘤转移与血管生成;(3)癌细胞与凋亡关系;(4)肿瘤疫苗,这些研究前沿包括55个分支研究领域。
     构建的当代国际、国内肿瘤学合作网络知识图谱显示,当代国际肿瘤学领域最具代表性的作者合著网由36个较为密集的聚集子群构成,包括91位近10年内共引次数超过20的作者;中国肿瘤学合作网络图谱显示合作最密切的省市为北京、上海和广东,合作最密切的科研团队主要来自华南肿瘤学国家重点试验室、复旦大学附属肿瘤医院、中国医学科学院中国协和医科大学肿瘤研究所肿瘤医院、华中科技大学同济医学院附属同济医院、郑州大学第一附属医院肿瘤科、北京大学临床肿瘤学院、安徽医科大学附属省立医院、上海交通大学医学院附属瑞金医院和山东省肿瘤医院等,这些机构是中国肿瘤学领域科研团队最主要的生长土壤。同时发现科研合作关系主要集中在同一机构内部,跨省市的合作所占比例较小。
     2.肿瘤学主流分支学科及学科结构分析结果显示,肿瘤学的主流分支学科有肿瘤分子生物学、临床肿瘤学、肿瘤流行病学、肿瘤放射治疗学、肿瘤诊断学以及肿瘤免疫学。从整体上看,临床医学和分子生物学为肿瘤学母本理论学科,肿瘤遗传学、肿瘤病理学、肿瘤病因学、实验肿瘤学和表观遗传学是其主要的新兴学科和交叉学科,其中表观遗传学可能发展成为当采学科或带头学科。
     3.肿瘤学学科发展的实证案例分析阐释了:肿瘤病理学、肿瘤外科学、肿瘤流行病学、肿瘤治疗学、肿瘤病因学、肿瘤药理学、肿瘤分子生物学、肿瘤诊断学、肿瘤免疫学、肿瘤遗传学和肿瘤影像学是构成肿瘤学学科结构的11个主要元素;在过去的100年中,肿瘤学学科结构要素具有动态性,学科结构重心不断发生转移,但正是这种要素间的联系和运动,推动着肿瘤学整体体系的发展。
     研究结论
     提出肿瘤学学科衍生与发展规律:
     1.肿瘤学学科衍生与发展经历了从分化到综合再到分化的历程
     在20世纪前30年,各分支学科之间相对比较独立;20世纪50年代至90年代,学科内与各学科之间相互渗透,相互补充,相互结合,出现综合趋势;进入20世纪90年代,肿瘤学形成了更深层的学科分化,使得很多前沿领域已无法用“学科”概念来描述,这种分化还会向更高级更复杂层次飞跃。
     2.科学内部新技术、新方法的突破和新理论的深化是肿瘤学学科衍生与发展的直接动力
     肿瘤学学科的进展和突破,正是其学科结构不断演进的内在动力,促使学科日趋进步和完善。
     3.交叉学科和新兴学科是肿瘤学学科衍生与发展的主要轨迹与方向
     肿瘤学的分支学科大部分属于交叉学科和新兴学科,其分支学科衍生发展方向基本上遵循交叉学科和新兴学科的发展规律,新兴学科多发生在不同学科的边缘交叉点上。肿瘤学学科按照纵向衍生与横向衍生两种方式同时进行。
     本研究的创新点
     1.运用定量分析与科学知识图谱绘制相结合的多视角多维度集成创新方法研究肿瘤学学科衍生与发展趋势;发现肿瘤学衍生与发展规律。
     2.构建肿瘤学学科发展理论模型,并通过实证研究与案例分析验证。
     继续开展本研究的设想
     1.通过网上调查、电子邮件、设计调查问卷等定性研究,将肿瘤学相关著作的分析及临床病例报告,作为对期刊论文定量数据的有力补充,运用meta-分析与科学计量学方法相结合的方法,开展从社会学、心理学等多个视角、更广阔地考察肿瘤学学科发展前沿热点的形成与发展规律。
     2.根据生命科学发展历程中的大纪事划分时段,继续收集其它癌症如乳腺癌、肝癌、肾癌等百年数据开展研究;根据研究中确定的肿瘤学主流分支学科收集分支学科数据,进一步深化肿瘤学衍生与发展规律。
Purpose:
     This study aims to adopt the methods of a combination of theory with practice, and ofqualitative with quantitative, that is, a combination of scientometrics theory and theoncology practice based on knowledge network, and an integration of the theories,models, empirical evaluation and countermeasure research, to try to depict thescientific knowledge maps of the mainstream oncology disciplines and itself.Oncology research fronts, hotspots and evolution trajectory is revealed, oncologydiscipline structure and its derivation and development is explored, and its position inthe groups of biomedicine disciplines is clearly defined, so as to timely trace theinternational forefront and strengthen international cooperation for Chinese oncologyresearch, and to supply decision-making basis for Chinese oncology disciplinedevelopment and biomedical technology management.
     Data:
     International data: All the literatures related to oncology with format 'articl' and‘review’ from the SCI-EXPANDED, CPCI-SSH of Web of Science database from1912to2012are retrieved.
     Chinese data: All the data from10core oncology source journals in China in the lastdecade are collected.
     Methods:
     1. Literature analysis
     2. Integrated analysis of visualization methods: keyword analysis, documentco-citation analysis, author co-citation analysis, journal co-citation analysis anddiscipline co-citation analysis
     3. Integrated analysis of multivariate statistical methods
     4.Integrated applications in social network analysis and statistic softwares: CiteSpace,Pajek, Bibexcel, SPSS, SAS and Wordsmith
     5.Empirical methods
     Results:
     1. The knowledge maps of oncology research domains, we found that the citationfrequency of the US accounted for53.8%of the total citation frequency of the top20core countries performing oncology research. China is the sole developing country toenter the top10. Within the core institutions of oncology research, the US accountedfor18of the top20institutions, and its total citation frequency accounted for93.5%of the top20. The research strength of the University of Texas, the NCI and HarvardUniversity has steadily grown for nearly10years, and most countries and institutionshave separate and distinct research directions. It is clear that the United States is theleading country in oncology research. We found that the current oncology researchfronts are focused in four fields:(1) the mechanism of abnormal oncogene expression,(2) tumour metastasis and angiogenesis,(3) the relationship between cancer cells andapoptosis, and (4) tumour vaccines. The four research frontiers included55branchfields.
     The study also identified the36most collaborative academic communities andstated that their oncology research strength is basically in balance. Multiple myeloma,angiogenesis, and acute lymphocytic leukaemia were the primary focuses of researchcollaborations in oncology from2001to2010. This study reveals that researchersfrom Beijing, Shanghai, and Guangdong cooperate most closely with each other andthat the collaboration within ‘Administrative Divisions’ is closer than that betweenthem, and the closer collaboration groups are among the State Key Laboratory ofHuanan Oncology,Affiliated Oncology Hospital of Fudan University, Cancer Instituteand Hospital of Chinese Academy of Medical Sciences, Peking Union MedicalCollege Oncology Hospital and Institution, Tongji Medical College of HuazhongUniversity of Science and Technology, No1Affiliated Hospital Oncology of Zhengzhou University, Peking University School of Oncology, Anhui MedicalUniversity Affiliated Provincial Hospital, Shanghai Jiao Tong University School ofMedical Affiliated Ruijin Hospital, Shandong Provincial Oncology University, etc.These institutes function as ‘incubators’ for Chinese Oncology research and are majorplayers in this field.
     2. The analysis of oncology branch disciplines and its structure showed themainstream branch disciplines of oncology are clinical oncology, oncologyepidemiology, oncology radiation, oncology diagnostics and immunology. Overall,clinical oncology and molecular biology are the maternal disciplines, cancer genetics,tumor pathology, tumor etiology, experimental oncology and epigenetics are its mainemerging disciplines and cross-disciplines, which suggested Epigenetics may developinto the leading one.
     3. The empirical studies illustrated oncology pathology, oncology surgery, oncologyepidemiology, oncology therapy, oncology etiology, oncology pharmacology,molecular biology of oncology, oncology diagnosis, oncology immunology,oncology genetics and oncology imaging are11major elements; During the past100years, oncology discipline structural elements were dynamic, the discipline structurecenter was continually shifted, which promoted the development of oncology for thelink and moving among these elements.
     Findings:
     The study demonstrated the derivation and development law of oncology disciplines.
     1. Oncology derivation and development has gone through the course ofdifferentiation to integration, and to differentiation.
     2. The breakthrough of new technologies, new methods and new theories in scienceinternal is the direct driving force in the development of oncology disciplines.
     3. The appearances of interdisciplinary and emerging disciplines are its track anddirection for oncology derivation and development.Innovation points of view in this study:
     1. By using multi-angle and multi-dimensional integration of innovative approaches,mainly in the combination of quantitative analysis and scientific knowledge maps, the oncology trends and laws for derivation and development were traced andanalyzed.
     2. A theoretical model for oncology derivation and development was built, which isverified by an empirical research and case studies.
     Conceptions for making further study:
     1. As a strong complement to quantitative data of journal papers, online surveys,e-mail, questionnaire design and other qualitative research should be carried out for asupplement of books and clinical case reports related to oncology. Combination themeta-analysis and scientific metrology methods to examine oncology developmenthotspots and its law from sociology, psychology and other perspectives.
     2. A century-data of breast, liver, kidney and other oncologies should be collected,and time slices will be divided according to the Great History Chronicle in thedevelopment of life sciences, so as to make a further research on oncology derivationand development.
引文
[1]《辞海》,上海辞书出版社1989年版,第297页;《辞海》1999年版缩印本上海辞书出版社2000年版,第1360页.
    [2]《四角号码新词典》,商务印书馆1959年版,第556页.
    [3]《新华词典》,商务印书馆1980年版,第956页;《新华词典》,商务印书馆2001年修订版,第1117页.
    [4]《中华人民共和国国家标准·学科分类与代码》,中国标准出版社1993年版,第1页.
    [5]万力维.控制与分等:权力视角下的大学学科制度的理论研究[D].南京师范大学,2005:1。
    [6]转引自万力维.控制与分等:权力视角下的大学学科制度的理论研究[D].南京师范大学,2005:1。
    [7]华勒斯坦等著.刘健芝等编译.学科知识权力fM].北京:生活·读书·新知三联出版社,1999:1。
    [8]JosephJ.Koekelmans.Science and Disipline.JosephJ.Koekelmans.Interdisciplinarity and Higher Education[M].The Pennsylvania State University Press,1979:16.
    [9]王续馄.交叉学科结构论[M].大连:大连理工大学出版社,2003.
    [10]王景明.以学科建设为中心的医院改革探讨[J].解放军医院管理杂志.2005,12(6):503-506.
    [11]蔡曙山.科学与学科的关系及我国的学科制度建设[J].中国社会科学,2002(3):79·80.
    [12]伯顿·克拉克.王承绪等译.高等教育系统—学术组织的跨国研究[M],杭州:大学出版社,199:33。
    [13]冯向东.张力下的动态平衡:大学中的学科发展机制[J].现代大学教育,2002(2):67-71.
    [14]罗云.中国重点大学与学科建设[M].北京:中国社会科学出版社,2005:33.
    [15]万力维.控制与分等:权力视角下的大学学科制度的理论研究[D].2005年南京师范大学博士学位论文:21.
    [16][美]伯顿·克拉克.高等教育系统[M].王承绪等译,杭州大学出版社.199:6.
    [17]裴旭,张淑林.研究型大学中重点学科的评价探析[J].教育与现代化.2003():52-57.
    [18]赵红州.论“当采学科”与科学家战略部署[J].自然杂志(Nature),1982年第9期,P63-68.
    [19]赵红州.科学史数理分析[M].石家庄:河北教育出版社,2001:125.
    [20]庞景安.科学计量研究方法[M].北京:科学技术文献出版社,1990:315.
    [21]刘仲林.现代交叉科学[M].杭州:浙江教育出版社,1998,19-31.
    [22]马海平,尹勇胜等.新兴学科概要[M].陕西人民出版社,1987年7月,绪论第6页.
    [23]李琛.“法与人文”的方法论意义——以著作权法为模型[J].中国社会科学,2007,(03):100-103.
    [24]汤建民,范笑仙.对高等教育研究三个基本问题的重新讨论——以词频计量和学科知识图谱方法为视角[J].中国高教研究,2009,(5):19-22.
    [25]Patriciam, Norman. Protecting knowledge in strategic alliances resource and relational characteristic [J]. Journal of High Technology Management Research,2002,13(2):177-202.
    [26]李妹兰.知识网络与哈耶克的知识观[J].农业图书情报学刊,2005(1):87-88.
    [27]Stefanob, Francescol. Localized Knowledge Spillovers vs. Innovative Milieu:Knowledge Tacitness Reconsidered [J]. Papers in Regional Science,2001,90(2):255-273.
    [28]顾东蕾.论学科知识网络的理论基础[J].图书情报工作,2008,52(9):32-35.
    [29]CIP2000.[EB/OL][2010-11-1].http://nces.ed,gov./pubs2002gov/pubs2002/cip2000/.)
    [30]Universities and Colleges Admissions service [EB/OL].[2010-11-1]. httP://www. ucas. com/figures/archive/trend96/supply.html.
    [31]李慎明.是否可设立与自然科学、哲学社会科学并列的生命科学学呢?中国社会科学报,2011年1月6日,[2011年2月1日].http://sspress£ass.en/paPer/16812.htm。
    [32]Peter L, Michaell. Relative Absorptive Capacity and Inter-organizational Learning [J]. Strategic Management Journal,1998,19(3):61-77.
    [33]Seuferta, Vonkrogh G, Bach A. towards Knowledge Networking [J]. Journal of Knowledge Management,1999,3(3):180-190.
    [34]David Stipp. China's Biotech is Starting to Bloom [J]. Fortune,2002,16(6):126-30,132,13.
    [35]施忠道.浅析新世纪我国生物医学科技发展的趋势与重点[J].医学与社会,2000,13(5):-7.
    [36]李琛.“法与人文”的方法论意义——以著作权法为模型[J].中国社会科,2007,(03):100-103.
    [37]汤建民,范笑仙.对高等教育研究三个基本问题的重新讨论——以词频计量和学科知识图谱方法为视角[J].中国高教研究,2009,(5):19-22.
    [38]Patriciam, Norman. Protecting knowledge in strategic alliances resource and relational characteristic [J]. Journal of High Technology Management Research,2002,13(2):177-202.
    [39]李妹兰.知识网络与哈耶克的知识观[J].农业图书情报学刊,2005(1):87-88.
    [40]Stefanob, Francescol. Localized Knowledge Spillovers vs. Innovative Milieu:Knowledge Tacitness Reconsidered [J]. Papers in Regional Science,2001,90(2):255-273.
    [41]庞瑞芝.面向未来的医院管理[M].南开大学出版社.2007,53-55;
    [42]陈家宽.大学教育与科学发展战略研究--理论探索与案例分析[M].复旦大学出版社.2007:1-3.
    [43]A. Mina. Mapping evolutionary trajectories:Applications to the Growth and transformation of medical knowledge [J]. Research Policy,2007,36(5):789-806.
    [44]Anne Kolehmainen. Occupational therapy as an academic discipline in Finland [J]. Occupational Therapy International,2000,7(3):198-205.
    [45]Ariela Lowenstein. Gerontology of Age:the Transformation of Social Gerontology into a Distinct academic Discipline[J]. Educational Gerontology,2004,30(2):129-11.
    [46]Curt Meine."A Mission-Driven Discipline":the Growth of Conservation Biology[J]. Conservation Biology,2006,20(3):631-651.
    [47]Peter W. The Discipline of Psychology from a University Senior Management Perspective[J]. Current Psychology:Developmental, Learning, Personality, Social,2005,2():215-217.
    [48]Winifred B. Conservation Biology from the Perspective of Natural Resource Management Disciplines [J]. Conservation Biology Volume,2005,20(3):670-673.
    [49]段琼红,钟荣,王坚杰,曾庆志,王卫华,汪鹏,吕静.基于web of science的结核病系统评价文献计量分析[J].中华疾病控制杂志,2011,8(8):720-723.
    [50]霍金荣.基于web of science的耐多药结核文献计量分析[J].中国防痨杂志,2009,11(11):628-632.
    [51]刘仲林,李春景.二元交叉学科发生状况计量分析与模式研究[J].自然辩证法研究,200,20():39-3.
    [52]党亚茹.学科发展速度评价的两个文献计量指标[J].图书情报工作,2001,(7):32-35.
    [53]党亚茹.基于学科分布的JCR(社会科学版)计量指标的变化与分析[J].情报资料工作,200(1):3-6.
    [54]谭宗颖.十二国科学产出影响及学科优势的国际比较--基于引计量的分析[J].中国基础科学,2006,(2):32-36.
    [55]黄秀兰.西夏学研究20年文献计量分析[J].西北第二民族学院学报(哲学社会科学版),2002,(3):18-2.
    [56]王玉梅,王艳,金奇.基于文献计量的我国生物信息学研究发展动态[J].科技情报开发与经济,2002,12(5):1-3.
    [57]孙成权,肖仙桃.国际生物科学十年发展态势的文献计量分析[J].世界科技研究与发展,2003,23(1):78-80.
    [58]D.普赖斯.小科学,大科学[M].宋剑耕译.北京:世界科学出版社,1982.
    [59]王晓东.学科生长逻辑曲线与基础研究人力资源的配置战略[J].科研管理,1997,18():63-67.
    [60]Young. M. F. D. Knowledge and control:new directions for the sociology of education [M]. London:Collier-Macmillan,1971.
    [61]Horlick-Jones T. Sime J.Living on the border:knowledge, risk and transdisciplinarity [J]. Futures,200,36():1-56.
    [62]庞青山.大学学科论[M].广州:广东教育出版社,2006.
    [63]L-Apostel, Matching Candidates with Academic Teams:A Case for Academic Tenure [J] International Review of Law and Economics,2005(25):290-310.
    [64]托马斯·库恩.科学革命的结构[M[.上海:上海科学技术出版社,1980.
    [65]King AR,Brownell J. The Curriculum and the Disciplines of Knowledge [M]. New York: John Wiley,1996.
    [66]赵红州,蒋国华著.在科学交叉处探索科学[M].北京:红旗出版社,2002:30-33.
    [67]黄一岚.大学学科组织的生成研究—以浙江工业大学为例[D].杭州:浙江工业大学学位论文,2007.
    [68]万力维.大学学科等级制度的建构逻辑[J].高等教育研究,2006,27(6):0-5.
    [69]周川.致力于高等教育学的理论发展—读《多学科观点的高等教育研究》[J].高等教育研究,2002,23(2):105-107.
    [70]刘仲林.现代交叉科学[M].杭州:浙江教育出版社,1998.
    [71]刘仲林.跨学科研究与科研创新能力建设[D].合肥:中国科学技术大学博士学位论文,2007.
    [72]陈何芳.学科演进与大学学科的融合策略[J].内蒙古师范大学学报(教育科学版),2009,22(3):1-6.
    [73]吴文俊.数学概况及其发展[M].北京:科学出版社,1978.
    [74]叶鹰,金玮.高技术的科学基础和发展战略[J].科学学研究,1998,():50-51.
    [75]叶鹰,金玮.科学学的基本规律探讨[J].科学学研究,2002,(2):16-19.
    [76]杨映珊,陈春花.科研组织团队运作的应用研究[J].科学学研究,2002,20(2):206-208.
    [77]宣勇,凌健.“学科”考辨[J].高等教育研究,2006,27():18-23.
    [78]张乐育.关于“任务带学科”的讨论[J].科学学研究,2007(2):85-89.
    [79]姜凤春,李枭鹰.从程序性序列走向策略性规划—复杂性视野中的大学学科建设与发展规划[J].辽宁教育研究,2007(10):3-37.
    [80]周进.大学学科发展的基本矛盾及特殊矛盾[J].科技导报,2002,(5):20-21.
    [81]刘文达,邹雪辉,贺莉.学科发展是“力的集成”[J].科学学与科学技术管理,2003,(3):106-109.
    [82]顾东蕾.论学科知识网络的理论基础[J].图书情报工作,2008,52(9):32-35.
    [83]James P. Collins. May You Live in Interesting Times:Using Multidisciplinary and Interdisciplinary Programs to Cope with Change in the Life Sciences?[J]. Bioscience,2002,52,(1):75-83.
    [84]Bergen, S.D., Bolton, S., Fridley, J.L. Design principles for ecological engineering [J]. Ecological. Engineering.2001,(18):201-210.
    [85]David K. The emergence of ecological engineering as a discipline [J]. Ecological Engineering,2003,20(5):409-420.
    [86]张丽萍.1994-2003年国内肿瘤学的文献计量研究[J].中华医学图书情报杂志.2006,15(1):67-69.
    [87]叶立平,凌柏.1995—2000年恶性淋巴瘤文献统计分析[J].中华医学图书情报杂志.2002,15(1):58-59.
    [88]李佳.1998-2007年我国肿瘤治疗研究的主题分析分析[J].医学信息学.2009,22(1):57-61.
    [89]赵宏铭.SCI分析工具在科学研究中的应用—以肿瘤免疫基因治疗技术为例[J].情报探索,2007(7):10-13.
    [90]钟伟金.共词聚类分析法的类团实例研究—对肿瘤治疗热点主题的分析[J].中华医学图书情报杂志,2009,3(2):48-53.
    [91]侯海燕.科学计量学知识图谱[M].大连:大连理工大学出版社,2008:22-23.
    [92]Small H. The relationship of information science to the social science:A co-citation analysis [J]. Information processing and management,1980,17(1):39-50.
    [93]White H D, McCain K W. Visualizing a discipline:An author co-citation analysis of information science,1972-1995[J]. Journal of the American society for information science.1998,49(4):327-356.
    [94]Charlotte A. Cottrilll, Everett M. Rogers,Tamsy Mills.Co-citation Analysis of the Scientific Literature of Innovation Research Traditions Diffusion of Innovations and Technology Transfer [J].Science Communication,1989,11(2):181-208.
    [95]F J, Gonzalez, C B, Castro,et al. Dominant Approaches in the field of Management [J].International Journal of Organizational Analysis,1993,9(4):199-205.
    [96]邱均平,秦鹏飞.基于作者共被引分析方法的知识图谱实证研究---以国内制浆造纸领域为例[J].情报理论与实践.2010(10):53-56,58.
    [97]丁堃,刘则渊,刘盛博.科学学与科技管理合著网络特征及大学团队的地位[J].科学学与科学技术管理.2009,30(12):10-15.
    [98]刘则渊,陈悦,侯海燕等著.科学知识图谱方法与应用[M].北京:人民出版社,2008(8):127.
    [99]汤建民.学术研究团队的可视化识别及评估方法研究:以科学学研究领域为例[J].情报学报.2010,29(2):323-330.
    [100]侯海燕,刘则渊,赫尔顿·克雷奇默,屈天鹏,路春婷,宋刚,中国科学计量学国际合作网络研究[J].科研管理.2009,30(3):172-179.
    [101]陈立新,刘则渊,梁立明.基于论文标题的学科结构研究[J].情报学报.2010,29(2):305-313.
    [102]Qi Yu, Hongfang Shao, Zhiguang Duan*. Research groups of oncology co-authorship network in China [J]. Scientometrics,2011,89(2):553-567.影响因子:1.966.
    [103]Qi Yu,Hongfang Shao, Zhiguang Duan*. The Research collaboration in Chinese Cardiology&Cardiovasology field [J]. International Journal of Cardiology.影响因子:7.01.
    [104]Qi Yu,Hongfang Shao, Peifeng He, Zhiguang Duan*. World scientific collaboration in coronary heart disease research [J]. International Journal of Cardiology.影响因子:7.01.
    [105]Hongfang Shao, Qi Yu, Xiaoming Bo, Zhiguang Duan*. Analysis of Oncology Research from2001to2010:A scientometric perspective, Oncology Reports29(4):1441-1452,2013.影响因子:1.835.
    [106]Chaomei Chen.CiteSpace II:Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Journal of the American Society for Information Science and Technology,2006,57(3):359-377
    [107]Chen,C.,Cribbin,T.,Macredie,R.,&Morar,S.(2002).Visualizing and tracking the growth of competing paradigms:Two case studies.Journal of the American Society for Information Science and Technology,53(8),678-689.
    [108]Garfield E. Introducing ISI Geoscitech and the Geoscitech Citation Inde--the50Most-active Research Fronts in1981in the Earth Sciences Illustrate the Unique Retrieval Capabilities of Our New Online and Print Services. Current contents.1982:28:5-12.
    [109]Zeyuan Liu.Mapping Knowledge Domains Methods and Application[M]. Peking:PeoplePublishing House,2008.P68.
    [110]Liu B, Vogelstein B et al. Mismatch repair gene defects in sporadic colorectal cancers withmicrosatellite instability. Nature genetics.1995:1:8-55.
    [111]Issa JPJ, Baylin SB, Herman JG. DNA methylation changes in hematologic malignancies:Biologic and clinical implications. Leukemia.1997:1: S7-S11.
    [112]Jones PA, Baylin SB. The fundamental role of epigenetic events in cancer. Nature ReviewsGenetics.2002:6:15-28.
    [113]Sun Caixia èWang Hailin. The Role of SNAIL Gene in Gynecologic Cacinoma MetastasisMechanism. J Int Obstet Gynecol.2010::260-263.
    [114]Sionov RV èHaupt Y. The cellular response to p53: the decision between life and death.Oncogene.1999:5:615-6157.
    [115]Tyner SD, Donehower LA,et al. p53mutant mice that display early ageing-associatedphenotypes. Nature.2002:6867:5-53.
    [116]Bodnar AG, Ouellette M, et al. Extension of life-span by introduction of telomerase intonormal human cells. Science.1998:539:39-352.
    [117]Hurwitz H, Fehrenbacher L.et al. Bevacizumab plus irinotecan, fluorouracil, and leucovorinfor metastatic colorectal cancer. New England Journal of Medicine.200:23:2335-232.
    [118]Guo QS, Liu YX. Lung cancer target to treatment medicine progress. World ClinicalDrugs.2005:5:282-285.
    [119] Paez JG, Janne PA, et al. EGFR mutations in lung cancer: Correlation with clinical responseto gefitinib therapy. Science.200:5676:197-1500.
    [120] Lynch TJ, Bell, DW, et al. Activating mutations in the epidermal growth factor receptorunderlying responsiveness of non-small-cell lung cancer to gefitinib. N Engl J Med.200:2:2129-2139.
    [121]Folkman J.Tumor angiogenesis: therapeutic implications[J].N Engl J Med.1971,285(21):1182-1186.
    [122]Shi Wen, Li JS. Clinical significance of the expression of ADAM9in colon carcer.Journal of Southeast University(Medical Science Edition).2009::27-278.
    [123] Kerr JFR, Wyllie, AH. et al. Apoptosis-basic biological phenomenon with wide-rangingimplications in tissue kinetics.British Journal of Cancer.1972::239-252.
    [124]Liu LJ, Peng JX, et al. Mitochondrial Changes and Role in Apoptosis. Chinese Journal of Cell Biology.2005:27:117-120.
    [125]Green DR, Kroemer G. The pathophysiology of mitochondrial cell death. SCIENCE.200:568:626-629.
    [126]Deng C, Shao ZW. Apoptosis of Osteosarcoma Cells Induced by a Combination of TRAIL,Adriamycin and IFN-y. Cancer Research on Prevention and Treatment.2010:l:l-.
    [127]Walczak H, Miller RE,Lynch DH,et al. Tumoricidal activity of tumor necrosis factor related apoptosis-inducing ligand in vivo. NATURE MEDICINE.1999:2:157-163.
    [128]Ashkenazi A, Pai RC.et al. Safety and antitumor activity of recombinant soluble Apo2ligand. Journal of Clinical Investigation.1999:2:155-162.
    [129]Cao ZA, Hanahan D. et al. Sub-lethal radiation enhances anti-tumor immunotherapy in a transgenic mouse model of pancreatic cancer. BMC Cancer.2002:11:567-572.
    [130]Rosenberg SA, Yang JC.et al. Immunologic and therapeutic evaluation of a synthetic peptide vaccine for the treatment of patients with metastatic melanoma.Nature Medicine.1998:3:321-327.
    [131]Price DJD. Little Science, Big Science. NewYork:Columbia University Press,1963.
    [132]Beaver DD, Rosen R. Studies in Scientific Collaboration.1. Scientometrics.1978(1):65-8.
    [133]Beaver DD, RosenR. Studies in Scientific Collaboration.2. Scientometrics.1979(2):231-25.
    [134]Beaver DD, Rosen R.Studies in Scientific Collaboration.3.Scientometrics.1979(3):133-19.
    [135]Glanzel W.Coauthorship patterns and trends in the sciences(1980-1998):A bibliometric Study with implications for database indexing and search strategies.LibraryTrends.2002,50:61-73.
    [136]Kretschmer H. Author produetivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web.Scientometrics.200,60(3):l-12.
    [137]Newman M.The structure of scientific collaboration networks. Proeeedings of the National Academy of Sciences of the USA.2001:0-09.
    [138]李志辉,罗平SPSS for Windows统计分析教程(第2版).北京:电子工业出版社,2000..
    [139]刘林青.作品共被引分析与科学地图的绘制.科学学研究.2005,23(2):155-159.
    [140]K.W.MCcain. Mapping authors in intellectual space: A technical overview[J].Journal of theAmerican society for information science.1990,1(6):33-3.
    [141]马国庆.管理统计.北京:科学出版社,2002.
    [142] Zeyuan Liu, Yue Chen and Haiyan Chen: Mapping Knowledge Domains Methods andApplication.1st (ed.) People Publishing House, Peking,2008:PP3-35, PP68-81.
    [143] Chen CM, Ibekwe-SanJuan F, Hou JH. The structure and dynamics of cocitation clusters: amultiple-perspective cocitation analysis. J Am Soc Inf Sci Technol.2010:61(7):1386-09.
    [144] Goldberg A D, Allis C D, Bernstein E. Epigenetics: a landscape takes shape. Cell.2007:128():635-638.
    [145] Morris SA, Yen G, Wu Z, Asnake B. Timeline visualization of research fronts. J Am Soc InfSci Technol.2003:55(5):13-22.
    [146] LI E èTargeted mutation of the DNA methyltransferase gene results in embryonic lethality èCell.1992:69èP915.
    [147] Feinberg AP èVogeistein. Hypomethylation distinguishes genes of some human cancersfrom their normal counterparts. Nature.1983:301,89-92.
    [148]Frommer M, McDonald LE, et al. A genomic sequencing protocol that yields a positivedisplay of5-methylcytosine residues in individual DNA strands.Proc,Natl.Acad.Sci.USA.199280:1579-83.
    [149]Herman JG èMethylation-specific PCR: A novel PCR assay for methylation status of CpGislands èP NATL ACAD SCI USA.1996:93èP9821.
    [150] Strahl BD èThe language of covalent histone modifications èNATURE.2000:03:P1.
    [151]Jenuwein T. Translating the histone code èSCIENCE.2001:V293èP107.
    [152]Nan XS è1998èTranscriptional repression by the methyl-CpG-binding protein MeCP2involves a histone deacetylase complex èNATURE èV393èP386.
    [153]Fuks F è2000èDNA methyltransferase Dnmt1associates with histone deacetylase activity èNAT GENET èV2èP88.
    [154] Rountree MR è2000èDNMT1binds HDAC2and a new co-repressor, DMAP1, to form acomplex at replication foci èNAT GENET èV25èP269.
    [155]Tamaru H è2001èA histone H3methyltransferase controls DNA methylation in Neurosporacrassa èNATURE èV1èP277.
    [156] Bannister AJ è2001èSelective recognition of methylated lysine9on histone H3by the HP1chromo domain èNATURE èV10èP120.
    [157] Lee RC, Feinbaum RL, Ambros V.1993. The C. elegans heterochronic gene lin-encodessmall RNAs with antisense complementarity to lin-1. Cell75:83-5.
    [158] Hammond SM, Bernstein E, Beach D, Hannon GJ èAn RNA-directed nuclease mediatespost-transcriptional gene silencing in Drosophila cells, Nature6775(2000)293-296.
    [159]Bernstein E, Caudy AA, Hammond SM,et al. Role for a bidentate ribonuclease in theinitiation step of RNA interference. Nature2001;6818:363-366.
    [160] Lewis BP, Shih IH, Jones-Rhoades MW, Bartel DP, Burge CB. Prediction of mammalianmicroRNA targets.CELL.2003:115:787-798.
    [161] Lewis BP èBurge CB èBartel DP. Conserved seed pairing, often flanked by adenosines,indicates that thousands of human genes are microRNA targets. CELL.2005120:15-20.
    [1]庞瑞芝.面向未来的医院管理[M].南开大学出版社.2007,53-55;
    [2]陈家宽.大学教育与科学发展战略研究--理论探索与案例分析[M].复旦大学出版社.2007:1-3.
    [3]Peter L, Michaell. Relative Absorptive Capacity and Inter-organizational Learning [J]. Strategic Management Journal,1998,19(3):461-477.
    [4]Seuferta, Vonkrogh G, Bach A. towards Knowledge Networking [J]. Journal of Knowledge Management,1999,3(3):180-190.
    [5]David Stipp. China's Biotech is Starting to Bloom [J]. Fortune,2002,146(4):126-30,132,134.
    [6]施忠道.浅析新世纪我国生物医学科技发展的趋势与重点[J].医学与社会,2000,13(5):4-7.
    [7]A. Mina. Mapping evolutionary trajectories:Applications to the Growth and transformation of medical knowledge [J]. Research Policy,2007,36(5):789-806.
    [8]Anne Kolehmainen. Occupational therapy as an academic discipline in Finland [J]. Occupational Therapy International,2000,7(3):198-205.
    [9]Ariela Lowenstein. Gerontology of Age:the Transformation of Social Gerontology into a Distinct academic Discipline[J]. Educational Gerontology,2004,30(2):129-141.
    [10]Curt Meine."A Mission-Driven Discipline":the Growth of Conservation Biology[J]. Conservation Biology,2006,20(3):631-651.
    [11]段琼红,钟荣,王坚杰,曾庆志,王卫华,汪鹏,吕静.基于web of science的结核病系统评价文献计量分析[J].中华疾病控制杂志,2011,8(8):720-723.
    [12]霍金荣.基于web of science的耐多药结核文献计量分析[J].中国防痨杂志,2009,11(11):628-632.
    [13]黄秀兰.西夏学研究20年文献计量分析[J].西北第二民族学院学报(哲学社会科学版),2002,(3):18-24.
    [14]王玉梅,王艳,金奇.基于文献计量的我国生物信息学研究发展动态[J].科技情报开发与经济,2002,12(5):1-3.
    [15]孙成权,肖仙桃.国际生物科学十年发展态势的文献计量分析[J].世界科技研究与发展,2003,23(1):78-80.
    [16]D.普赖斯.小科学,大科学[M].宋剑耕译.北京:世界科学出版社,1982.
    [17]王晓东.学科生长逻辑曲线与基础研究人力资源的配置战略[J].科研管理,1997,18(4):63-67.
    [18]Young. M. F. D. Knowledge and control:new directions for the sociology of education [M]. London:Collier-Macmillan,1971.
    [19]Horlick-Jones T. Sime J.Living on the border:knowledge, risk and transdisciplinarity [J]. Futures,2004,36(4):441-456.
    [20]L-Apostel, Matching Candidates with Academic Teams:A Case for Academic Tenure [J] International Review of Law and Economics,2005(25):290-310.
    [21]托马斯·库恩.科学革命的结构[M[.上海:上海科学技术出版社,1980.
    [22]King AR,Brownell J. The Curriculum and the Disciplines of Knowledge [M]. New York:John Wiley,1996.
    [23]赵红州,蒋国华著.在科学交叉处探索科学[M].北京:红旗出版社,2002:30-33.
    [24]黄一岚.大学学科组织的生成研究—以浙江工业大学为例[D].杭州:浙江工业大学学位论文,2007.
    [25]万力维.大学学科等级制度的建构逻辑[J].高等教育研究,2006,27(6):40-45.
    [26]周川.致力于高等教育学的理论发展—读《多学科观点的高等教育研究》[J].高等教育研究,2002,23(2):105-107.
    [27]刘仲林.现代交叉科学[M].杭州:浙江教育出版社,1998.
    [28]刘仲林.跨学科研究与科研创新能力建设[D].合肥:中国科学技术大学博士学位论文,2007.
    [29]陈何芳.学科演进与大学学科的融合策略[J].内蒙古师范大学学报(教育科学版),2009,22(3):1-6.
    [30]吴文俊.数学概况及其发展[M].北京:科学出版社,1978.
    [31]叶鹰,金玮.高技术的科学基础和发展战略[J].科学学研究,1998,(4):50-51.
    [32]叶鹰,金玮.科学学的基本规律探讨[J].科学学研究,2002,(2):16-19.
    [33]杨映珊,陈春花.科研组织团队运作的应用研究[J].科学学研究,200220(2):206-208.
    [34]宣勇,凌健.“学科”考辨[J].高等教育研究,2006,27(4):18-23.
    [35]张乐育.关于“任务带学科”的讨论[J].科学学研究,2007(2):85-89.
    [36]姜凤春,李枭鹰.从程序性序列走向策略性规划—复杂性视野中的大学学科建设与发展规划[J].辽宁教育研究,2007(10):34-37.
    [37]周进.大学学科发展的基本矛盾及特殊矛盾[J].科技导报,2002,(5):20-21.
    [38]刘文达,邹雪辉,贺莉.学科发展是“力的集成”[J].科学学与科学技术管理,2003,(3):106-109.
    [39]李琛.“法与人文”的方法论意义——以著作权法为模型[J].中国社会科学,2007,(03):100103.
    [40]汤建民,范笑仙.对高等教育研究三个基本问题的重新讨论——以词频计量和学科知识图谱方法为视角[J].中国高教研究,2009,(5):19-22.
    [41]Patriciam, Norman. Protecting knowledge in strategic alliances resource and relational characteristic [J]. Journal of High Technology Management Research,2002,13(2):177-202.
    [42]李姝兰.知识网络与哈耶克的知识观[J].农业图书情报学刊,2005(1):87-88.
    [43]Stefanob, Francescol. Localized Knowledge Spillovers vs. Innovative Milieu: Knowledge Tacitness Reconsidered [J]. Papers in Regional Science,2001,90(2):255-273.
    [44]顾东蕾.论学科知识网络的理论基础[J].图书情报工作,2008,52(9):32-35.
    [45]James P. Collins. May You Live in Interesting Times:Using Multidisciplinary and Interdisciplinary Programs to Cope with Change in the Life Sciences?[J]. Bioscience,2002,52,(1):75-83.
    [46]Bergen, S.D., Bolton, S., Fridley, J.L. Design principles for ecological engineering [J]. Ecological. Engineering.2001,(18):201-210.
    [47]David K. The emergence of ecological engineering as a discipline [J]. Ecological Engineering,2003,20(5):409-420.
    [48]张丽萍.1994-2003年国内肿瘤学的文献计量研究[J].中华医学图书情报杂志.2006,15(1):67-69.
    [49]叶立平,凌柏.1995—2000年恶性淋巴瘤文献统计分析[J].中华医学图书情报杂志.2002,15(1):58-59.
    [50]李佳.1998-2007年我国肿瘤治疗研究的主题分析分析[J].医学信息学.2009,22(1):57-61.
    [51]赵宏铭.SCI分析工具在科学研究中的应用—以肿瘤免疫基因治疗技术为例[J].情报探索,2007(7):10-13.
    [52]钟伟金.共词聚类分析法的类团实例研究—对肿瘤治疗热点主题的分析[J].中华医学图书情报杂志,2009,3(2):48-53.
    [53]侯海燕.科学计量学知识图谱[M].大连:大连理工大学出版社,2008:22-23.
    [54]Small H. The relationship of information science to the social science:A co-citation analysis [J]. Information processing and management,1980,17(1):39-50.
    [55]White H D, McCain K W. Visualizing a discipline:An author co-citation analysis of information science,1972-1995[J]. Journal of the American society for information science.1998,49(4):327-356.
    [56]Charlotte A. Cottrilll, Everett M. Rogers,Tamsy Mills.Co-citation Analysis of the Scientific Literature of Innovation Research Traditions Diffusion of Innovations and Technology Transfer [J].Science Communication,1989,11(2):181-208.
    [57]F J, Gonzalez, C B, Castro,et al. Dominant Approaches in the field of Management [J].International Journal of Organizational Analysis,1993,9(4):199-205.
    [58]邱均平,秦鹏飞.基于作者共被引分析方法的知识图谱实证研究---以国内制浆造纸领域为例[J].情报理论与实践.2010(10):53-56,58.
    [59]丁堃,刘则渊,刘盛博.科学学与科技管理合著网络特征及大学团队的地位[J].科学学与科学技术管理.2009,30(12):10-15.
    [60]刘则渊,陈悦,侯海燕等著.科学知识图谱方法与应用[M].北京:人民出版社,2008(8):127.
    [61]汤建民.学术研究团队的可视化识别及评估方法研究:以科学学研究领域为例[J].情报学报.2010,29(2):323-330.
    [62]侯海燕,刘则渊,赫尔顿·克雷奇默,屈天鹏,路春婷,宋刚,中国科学计量学国际合作网络研究[J].科研管理.2009,30(3):172-179.
    [63]陈立新,刘则渊,梁立明.基于论文标题的学科结构研究[J].情报学报.2010,29(2):305-313.
    [64]Qi Yu, Hongfang Shao, Zhiguang Duan*. Research groups of oncology co-authorship network in China [J]. Scientometrics,2011,89(2):553-567影响因子:1.966.
    [65]Qi Yu,Hongfang Shao, Zhiguang Duan*. The Research collaboration in Chinese Cardiology&Cardiovasology field [J]. International Journal of Cardiology影响因子:7.01.
    [66]Qi Yu,Hongfang Shao, Peifeng He, Zhiguang Duan*. World scientific collaboration in coronary heart disease research [J]. International Journal of Cardiology影响因子:7.01.
    [67]Hongfang Shao, Qi Yu, Xiaoming Bo, Zhiguang Duan*. Analysis of Oncology Research from2001to2010:A scientometric perspective, Oncology Reports29(4):1441-1452,2013影响因子:1.835.

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