陶文倩, 潘云涛, 王海燕. 顶尖学者研究动态对学科发展影响的研究[J]. 情报学报, 2023, 42(11): 1309-1320.
Tao Wenqian, Pan Yuntao, Wang Haiyan. Impact of Top Scholars' Research Dynamics on Discipline Development. 情报学报, 2023, 42(11): 1309-1320.
1 习近平. 深入实施新时代人才强国战略 加快建设世界重要人才中心和创新高地[J]. 求是, 2021(24): 4-15. 2 《关于开展科技人才评价改革试点的工作方案》政策解读[EB/OL]. (2022-11-10) [2023-07-25]. https://www.gov.cn/zhengce/2022-11/10/content_5725770.htm. 3 D?普莱斯. 小科学, 大科学[M]. 宋剑耕, 戴振飞, 译. 北京: 世界科学社, 1982: 30-33. 4 乔纳森?科尔, 斯蒂芬?科尔. 科学界的社会分层[M]. 赵佳苓, 顾昕, 黄绍林, 译. 北京: 华夏出版社, 1989: 40-100. 5 高志, 陈兰杰, 张志强. 顶尖科学家的学术影响力变化规律研究进展[J]. 图书情报工作, 2016, 60(6): 135-141. 6 哈里特?朱克曼. 科学界的精英——美国的诺贝尔奖金获得者[M]. 周叶谦, 冯世则, 译. 北京: 商务印书馆, 1979: 14, 272-300. 7 徐祥运, 蔡振东, 林琳. 杰出科学家行政任职的概念界定、类型划分与状况概述[J]. 大连大学学报, 2016, 37(4): 139-143. 8 娄伟. 我国高层次科技人才激励政策分析[J]. 中国科技论坛, 2004(6): 139-143. 9 杜建, 张玢, 李阳, 等. 学者学术影响力评价指标的优选与学术行为特点的国内外比较[J]. 图书情报工作, 2011, 55(10): 98-102, 143. 10 Li W H, Aste T, Caccioli F, et al. Early coauthorship with top scientists predicts success in academic careers[J]. Nature Communications, 2019, 10: 5170. 11 Ioannidis J P A, Baas J, Klavans R, et al. A standardized citation metrics author database annotated for scientific field[J]. PLoS Biology, 2019, 17(8): e3000384. 12 孙玉涛, 陈灵芝. 诺奖候选人学术影响、提名人身份与获奖概率[J]. 科学学研究, 2019, 37(9): 1550-1557. 13 Ashton S V, Oppenheim C. A method of predicting Nobel prizewinners in chemistry[J]. Social Studies of Science, 1978, 8(3): 341-348. 14 Gingras Y, Wallace M L. Why it has become more difficult to predict Nobel Prize winners: a bibliometric analysis of nominees and winners of the chemistry and physics prizes (1901-2007)[J]. Scientometrics, 2010, 82(2): 401-412. 15 Clarivate. Highly cited researchers[EB/OL]. [2023-05-29]. https://clarivate.com/highly-cited-researchers. 16 Ioannidis J P A, Boyack K W, Baas J. Updated science-wide author databases of standardized citation indicators[J]. PLoS Biology, 2020, 18(10): e3000918. 17 Abramo G, D’Angelo C A, Caprasecca A. The contribution of star scientists to overall sex differences in research productivity[J]. Scientometrics, 2009, 81(1): 137-156. 18 吴殿廷, 李东方, 刘超, 等. 高级科技人才成长的环境因素分析——以中国两院院士为例[J]. 自然辩证法研究, 2003, 19(9): 54-63. 19 王章豹, 郑筱. 国家最高科学技术奖获得者的群体状况分析及启示[J]. 科技和产业, 2022, 22(3): 63-71. 20 高芳祎. 华人精英科学家成长过程特征及影响因素研究[D]. 上海: 华东师范大学, 2015: 205-206. 21 Kwiek M. The European research elite: a cross-national study of highly productive academics in 11 countries[J]. Higher Education, 2016, 71(3): 379-397. 22 Yair G, Goldstein K. The Annus Mirabilis paper: years of peak productivity in scientific careers[J]. Scientometrics, 2020, 124(2): 887-902. 23 Liang L M. R-sequences: relative indicators for the rhythm of science[J]. Journal of the American Society for Information Science and Technology, 2005, 56(10): 1045-1049. 24 Liang L M, Zhong Z, Chen Y. A Chinese professor’s academic career rhythm[J]. Scientometrics, 2021, 126(7): 6169-6186. 25 Yin Z F, Zhi Q. Dancing with the academic elite: a promotion or hindrance of research production?[J]. Scientometrics, 2017, 110(1): 17-41. 26 Dong J Y, Liu J M, Liu T Z. The impact of top scientists on the community development of basic research directed by government funding: evidence from program 973 in China[J]. Scientometrics, 2021, 126(10): 8561-8579. 27 Hu X J, Rousseau R. Nobel prize winners 2016: igniting or sparking foundational publications?[J]. Scientometrics, 2017, 110(2): 1053-1063. 28 Liu Y X, Rousseau R. Towards a representation of diffusion and interaction of scientific ideas: the case of fiber optics communication[J]. Information Processing & Management, 2012, 48(4): 791-801. 29 张铭. 诺奖往事——诺贝尔生理学或医学奖史话[M]. 北京: 科学出版社, 2018: 180-198. 30 Xi F J, Rousseau R, Hu X J. “sparking” and “igniting” key publications of 2020 Nobel Prize laureates[J]. Journal of Data and Information Science, 2021, 6(2): 28-40. 31 Xi F J, Rousseau R, Hu X J. Do elite scientists play a key role in the genesis of transformative research of “sparking type”? An investigation in the science of science[J]. Malaysian Journal of Library & Information Science, 2022, 27(2): 1-18. 32 马费成, 夏永红. 网络信息的生命周期实证研究[J]. 情报理论与实践, 2009, 32(6): 1-7. 33 托马斯·库恩. 科学革命的结构[M]. 伊恩·哈金, 导读. 张卜天, 译. 北京: 北京大学出版社, 2022: 1-7. 34 王海山. 从波普尔、库恩的科学观看科学发展的规律性[J]. 科学学研究, 1984, 2(1): 34-40. 35 王康, 高继平, 潘云涛, 等. 多位态研究主题识别及其演化路径方法研究[J]. 图书情报工作, 2021, 65(11): 113-122. 36 Tattershall E, Nenadic G, Stevens R D. Modelling trend life cycles in scientific research using the Logistic and Gompertz equations[J]. Scientometrics, 2021, 126(11): 9113-9132. 37 Ledford H, Callaway E. Pioneers of revolutionary CRISPR gene editing win chemistry Nobel[J]. Nature, 2020, 586(7829): 346-347. 38 Anzalone A V, Koblan L W, Liu D R. Genome editing with CRISPR-Cas nucleases, base editors, transposases and prime editors[J]. Nature Biotechnology, 2020, 38(7): 824-844. 39 刘世利. CRISPR基因编辑技术[M]. 北京: 化学工业出版社, 2021: 1-37. 40 Hille F, Richter H, Wong S P, et al. The biology of CRISPR-Cas: backward and forward[J]. Cell, 2018, 172(6): 1239-1259.