🏆 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 100%percentile
0Author 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 100%0 citations

Pankaj Vats, Marcin Cieślik, Xuhong Cao, Fengyun Su, Sudhanshu Shukla +20 more

Papers

Driven by 3 papers — median percentile 0. Top paper: Supplementary Figure Legends, Table Legends from Biallelic Alteration and Dysregulation of the Hippo Pathway in Mucinous Tubular and Spindle Cell Carcinoma of the Kidney.

Top 100%0 citations

Pankaj Vats, Marcin Cieślik, Xuhong Cao, Fengyun Su, Sudhanshu Shukla +20 more

Top 100%0 citations

Pankaj Vats, Marcin Cieślik, Xuhong Cao, Fengyun Su, Sudhanshu Shukla +20 more

20 citations

Samuel D. Kaffenberger, Liwei Bao, Nathalie M. Vandecan, Laura Goo, Athena Apfel +23 more