🏆 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 2%percentile
2.0Author 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 11%
2.0DataRank
Top 11%42 citations

Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz +1 more

Papers

Driven by 5 papers — median percentile 89. Top paper: Deep Learning to Quantify Pulmonary Edema in Chest Radiographs.

Top 11%
2.0DataRank
Top 11%42 citations

Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz +1 more

0 citations

Laurie Abler, Suiming Pan, Ying‐Ying Huang, William L. Parish, Xingliang Yao +2 more

23 citations

Claudia Lanauze, Xin Wang, Katharina E. Hayer, Manuel Torres-Diz, N. Adrian Leu +5 more

16 citations

Qian Yang, Xueyan Zhou, C. Dirk Keene, Alexey G. Ryazanov, Tao Ma +1 more