🏆 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%79 citations

Bryce W. Q. Tan, Amelia L.M. Tan, Emily Schriver, Alba Gutiérrez‐Sacristán, Priyam Das +89 more

Papers

Driven by 4 papers — median percentile 89. Top paper: Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study.

Top 11%79 citations

Bryce W. Q. Tan, Amelia L.M. Tan, Emily Schriver, Alba Gutiérrez‐Sacristán, Priyam Das +89 more

60 citations

Renhong Yan, Mei Liu, Zezhong Liu, Ying-Dan Wang, Die Luan +20 more

29 citations

Zhuqi Miao, Tieming Liu, Mei Liu, Kristine Grdinovac, Xing Song +4 more

39 citations

Meiqin Liu, Yaping Shen, Yunping Ma, Xiang Li, Yuanyuan Zhang +21 more