A Multidimensional Research Productivity Dataset of 21st Century Nobel Laureates in Physiology or Medicine

Abstract

The study of research leading to significant discoveries and best practices of elite scientists is a major opportunity for advancing public health and developing effective research. This dataset was created by conducting an automated and manual search of the internet using a large 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 (USPTO), the NIH RePORTER database, Retraction Watch, and Clarivate. Each download 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 2,093 peer-reviewed NIH awards produced by 21st-century Nobel laureates in Physiology or Medicine (2000-2023) prior to winning the Nobel Prize. The data provide multiple descriptors (i.e., number of publications, number and amount of NIH awards, number of patents), which can be used by the scientific community for practical purposes such as productivity desiderata for researchers, grant program design, and research policy development.