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中文题目: 杰出科学家个体科研生涯成果分析——以2022年诺贝尔生理学或医学奖获得者Svante P??bo为例
英文题目: Analysis of the scientific career outputs of an individual outstanding scientist: Take Svante P??bo as an example, the winner of the Nobel Prize in Physiology or Medicine in 2022
作 者: 李杰,时慧敏,游晟奕,谢靖,赵艳    
刊物名称: 今日科苑
发表年度: 2023-01-20
卷:
期: 01
页码: 42-58
中文摘要:

分析杰出科学家个体的科研生涯,对全面认识杰出科学家个体的研究特征以及未来杰出人才的培养有重要价值。本文以2022年诺贝尔生理学或医学奖获得者P??bo S为例,使用Web of Science数据库采集了336篇P??bo S所发表的学术论文。对论文从产出、合作、研究主题等方面进行了分析。结果表明:P??bo不仅是一位高产学者,而且他的论文也具有很高的质量。他是一位杰出的科研合作者,合作伙伴遍及全球各地。其中,国家层面上,与美国、英国、俄罗斯以及中国合作密切;机构层面上,与俄罗斯科学院、中国科学院、加州伯克利分校以及英国牛津大学合作密切。在1613位合作者中,与Kelso Janet,Meyer Matthias,Khaitovich Philipp,Krause Johannes以及Pruefer Kay合作密切。P??bo S论文主要聚焦在利用DNA的解析技术,对古生物进行测序与分析,涉及的高频关键词包含古代DNA、尼安德特人、线粒体DNA以及人类进化等。最后,对P??bo S论文的引证频次分布和代表作进行分析,发现了其高影响力成果的分布特征。P??bo S的科研生涯已经发表的论文成果展现出了他作为一名杰出科学家的个人特征,这些特征对未来青年创新人才的培养具有重要的价值。

英文摘要:

The analysis of the research career of an individual outstanding scientist is valuable for a comprehensive understanding of the research characteristics of individual outstanding scientists and the cultivation of outstanding talents in the future. In this paper, 336 academic papers published by P??bo were collected using the Web of Science database, taking P??bo, the 2022 Nobel Prize winner in physiology, as an example. The paper analyzed in terms of output, collaboration, and research topics, etc. The results show that P??bo is not only a highly productive scholar, but also has published several high-quality papers. He is an outstanding scientific collaborator with partners all over the world. At the national level, he has close cooperation with the USA, UK, Russia and China; at the institutional level, he cooperates closely with the Russian Academy of Sciences, the Chinese Academy of Sciences, the University of California at Berkeley and the University of Oxford. Of the 1613 collaborators, Kelso Janet, Meyer Matthias, Khaitovich Philipp, Krause Johannes, and Pruefer Kay are worked closely together. P??bo's papers focus on the sequencing and analysis of ancient DNA using DNA analysis techniques, involving high-frequency keywords such as ancient DNA, Neanderthals, mitochondrial DNA, and human evolution. Finally, the citation frequency distribution and representative works of P??bo's papers are analyzed, presenting the distribution characteristics of his highly influential results. The published results of P??bo's scientific career show his personal characteristics as an outstanding scientist, which are of great value to the cultivation of young innovative talents in the future.

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