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.
Indexed papers
Why this DataRank?
An author's DataRank is the sum of the DataRanks of all 1 indexed paper 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 →Top data-sharing exemplar
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
Papers
Driven by 7 papers — median percentile 79. 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
Colleen Pappas, Scott T. Le, Qian Wang, Brandon S. Klinedinst, Brittany Larsen +8 more
Colleen Pappas, Nathan Hoth, Qian Wang, Brandon S. Klinedinst, Sara A. Willette +9 more
Mihir Kharate, Parvin Mohammadiarvejeh, Mohammad Fili, Amy Pollpeter, Brittany Larsen +6 more
Nathan F. Meier, Brittany Larsen, Yueying Wang, Shan Yu, Jonathan P. Mochel +11 more
Colleen Pappas, Nathan Hoth, Qian Wang, Brandon S. Klinedinst, Sara A. Willette +9 more
Colleen Pappas, Brandon S. Klinedinst, Amy Pollpeter, Brittany Larsen, Nathan Hoth +4 more