🏆 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 6%percentile
0.179Author 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 66%2 citations

Diptavo Dutta, Anand Iyer, Shruti Vishwas Golapkar, Aseem Mishra, Manigreeva Krishnatreya +13 more

Papers

Driven by 4 papers — median percentile 34. Top paper: Transcriptome- and proteome-wide association studies identify genes associated with renal cell carcinoma.

10 citations

Xinyu Guo, Timothy Winter, Om Jahagirdar, Mark P. Purdue, Mitchell J. Machiela +93 more

Top 66%2 citations

Diptavo Dutta, Anand Iyer, Shruti Vishwas Golapkar, Aseem Mishra, Manigreeva Krishnatreya +13 more

1 citations

Om Jahagirdar, Mark P. Purdue, Diptavo Dutta, Mitchell J. Machiela, Bryan R. Gorman +94 more

1 citations

Maria Zanti, Jacob Williams, Om Jahagirdar, Guochong Jia, Alistair Turcan +40 more