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<p>We present a multidimensional dataset describing the research productivity of 21st-century Nobel Laureates in Physiology or Medicine from 2000 to 2023, focusing on their publications, patents, retractions, and funding before receiving the Nobel Prize. Examining the research outputs of eminent scientists offers a valuable resource for understanding patterns of productivity and collaboration that may have contributed to impactful scientific advancements. This dataset was created by conducting automated and manual searches of the internet using a variety of publicly available sources, including but not limited to the nobelprize.org website, PubMed, university web and profile pages, the United States Patent and Trademark Office, the NIH RePORTER database, Retraction Watch, and Clarivate. Each entry was meticulously matched to the laureate by cross-checking the above sources, collaborators, content, and production dates. Our unique dataset comprises 12,943 publications, 940 US patents, 17 retractions, and 2,094 peer-reviewed NIH awards produced before winning the Nobel Prize. The data provide multiple descriptors for practical purposes such as research productivity comparisons, national grant program design, or research policy development.</p>

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A multidimensional research productivity dataset of 21st-century Nobel Laureates in physiology or medicine

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月17日

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  • Wendy J. Burnett,
  • E. Andrew Balas

摘要

We present a multidimensional dataset describing the research productivity of 21st-century Nobel Laureates in Physiology or Medicine from 2000 to 2023, focusing on their publications, patents, retractions, and funding before receiving the Nobel Prize. Examining the research outputs of eminent scientists offers a valuable resource for understanding patterns of productivity and collaboration that may have contributed to impactful scientific advancements. This dataset was created by conducting automated and manual searches of the internet using a variety of publicly available sources, including but not limited to the nobelprize.org website, PubMed, university web and profile pages, the United States Patent and Trademark Office, the NIH RePORTER database, Retraction Watch, and Clarivate. Each entry was meticulously matched to the laureate by cross-checking the above sources, collaborators, content, and production dates. Our unique dataset comprises 12,943 publications, 940 US patents, 17 retractions, and 2,094 peer-reviewed NIH awards produced before winning the Nobel Prize. The data provide multiple descriptors for practical purposes such as research productivity comparisons, national grant program design, or research policy development.