Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.
Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.
Read the full methodology →The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.
Sara A. Willette, Qian Wang, Colleen Pappas, Brandon S. Klinedinst, Scott T. Le +8 more
Driven by 7 papers — median percentile 78. Top paper: “Using machine learning to predict COVID-19 infection and severity risk among 4510 aged adults: a UK Biobank cohort study”.
Sara A. Willette, Qian Wang, Colleen Pappas, Brandon S. Klinedinst, Scott T. Le +8 more
Sara A. Willette, Qian Wang, Colleen Pappas, Brandon S. Klinedinst, Scott T. Le +6 more
Michael T. Heneka, Lydia M. Le Page, Christian Limberger, David Morgan, Andrea J. Tenner +4 more
Mohammad Fili, Alice Dawson, Brandon S. Klinedinst, Qian Wang, Shannin N. Moody +10 more
Wei Cao, David Morgan, Roberta Sena Reis, Vidyani Suryadevara, Auriel A. Willette +4 more
Colleen Pappas, Nathan Hoth, Qian Wang, Brandon S. Klinedinst, Sara A. Willette +9 more
Colleen Pappas, Nathan Hoth, Qian Wang, Brandon S. Klinedinst, Sara A. Willette +9 more