🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Anik Sinha

Michigan Medicine

ORCID: 0009-0001-9246-5942
MedicineHealth ProfessionsSocial SciencesBiochemistry, Genetics and Molecular Biology

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
0.251Author 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 60%4 citations

Ruth Cassidy, Joseph Nanni, Yuxuan Wang, Yipeng Liu, Ming‐Yi Tang +7 more

Papers

Driven by 3 papers — median percentile 40. Top paper: Limited clinical utility for GWAS or polygenic risk score for postoperative acute kidney injury in non-cardiac surgery in European-ancestry patients.

7 citations

Adam Lewis, Lisa Bastarache, Anita Pandit, Jing He, Anik Sinha +12 more

Top 60%4 citations

Ruth Cassidy, Joseph Nanni, Yuxuan Wang, Yipeng Liu, Ming‐Yi Tang +7 more

2 citations

Anik Sinha, Alexander Hoffmann, Zewen Wu, Tomas Medina Inchauste, Aaron Retsky +4 more