🏆 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 5%percentile
0.471Author DataRank

Indexed papers

1in 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 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.

Top 40%8 citations

Jon A. Steingrimsson, Fizza S. Gillani, Mark Howison, Su Aung, Matthew D. Solomon +15 more

Papers

Driven by 5 papers — median percentile 60. Top paper: Predictors of COVID‐19 severity: A literature review.

N/A
1.0DataRank · unranked
872 citations

Ghazal Aghagoli, Katya Lavine, Lanbo Yang, Emily J. Siff, Silvia S. Chiang +7 more

Top 40%8 citations

Jon A. Steingrimsson, Fizza S. Gillani, Mark Howison, Su Aung, Matthew D. Solomon +15 more

13 citations

Nicole Hardy, Stavroula A. Chrysanthopoulou, Nyan Htun, Aung Kyaw, Min San Tun +4 more

8 citations

Nicole Hardy, Joseph W. Hogan, Allison DeLong, Aung Kyaw, Min San Tun +3 more

4 citations

Vlad Novitsky, Jon A. Steingrimsson, Fizza S. Gillani, Mark Howison, Katherine Nagel +7 more