🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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.

Top 4%percentile
0.856Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

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 →

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.

Top 27%33 citations

Paul A. Taylor, Daniel Glen, John A. Lee, Nilakshi Vaidya, Urvakhsh Meherwan Mehta +17 more

Papers

Driven by 3 papers — median percentile 48. Top paper: A series of five population‐specific Indian brain templates and atlases spanning ages 6–60 years.

Top 27%33 citations

Paul A. Taylor, Daniel Glen, John A. Lee, Nilakshi Vaidya, Urvakhsh Meherwan Mehta +17 more

Top 78%1 citations

Paul A. Taylor, Daniel Glen, John A. Lee, Nilakshi Vaidya, Urvakhsh Meherwan Mehta +17 more

45 citations

Bharath Holla, Jon Heron, Eesha Sharma, Yuning Zhang, Gwen Fernandes +81 more