ArticleScientific data2025
A multidimensional research productivity dataset of 21
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Comparative analysis of organizational and leadership success factors associated with fast-growing biomedical research.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.