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.
Jeremy Stone, Aisha Haley Bianchi, Benjamin J. Capodanno, Estelle Y. Da, Mafalda Dias +23 more
Driven by 10 papers — median percentile 83. Top paper: “MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays”.
Jeremy Stone, Aisha Haley Bianchi, Benjamin J. Capodanno, Estelle Y. Da, Mafalda Dias +23 more
Joseph Min, Nathan Rollins, Estelle Y. Da, Daniel Esposito, Matthew Harrington +19 more
C. Hansen, Roy Burstein, Shanda Boyle, Robin Prentice, Cooper Marshall +25 more
Amanda C. Perofsky, Lauren Frisbie, Louise H. Moncla, Pavitra Roychoudhury, Hong Xie +26 more
Valerie Lynch, Rose Fields, Silvia Casadei, S Best, Jeremy Stone +10 more
Miguel I. Paredes, Amanda C. Perofsky, Lauren Frisbie, Hong Xie, Kevin Kong +21 more
Adriana E Sedeño Cortés, Pankhuri Gupta, Abbye E. McEwen, Eric Y. Kao, Martha Horike‐Pyne +8 more
Sarah Heidl, Brian Pfau, Beth Martin, Peter D. Han, Weizhi Zhong +37 more
Jeremy Stone, Malvika Tejura, Pankhuri Gupta, Benjamin J. Capodanno, Estelle Y. Da +9 more
C. Hansen, Roy Burstein, Shanda Boyle, Robin Prentice, Cooper Marshall +25 more