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

Subhashini Chandrasekharan

ORCID: 0000-0002-9894-3263
MedicineHealth Professions

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 7%percentile
0.104Author 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 78%1 citations

Susannah Rose, Camille Nebecker, Laurie L. Novak, Yaël Bensoussan, You Chen +19 more

Papers

Driven by 3 papers — median percentile 22. Top paper: Biomedical data repositories require governance for artificial intelligence/machine learning applications at every step.

Top 78%1 citations

Susannah Rose, Camille Nebecker, Laurie L. Novak, Yaël Bensoussan, You Chen +19 more

18 citations

Shakuntala Baichoo, Tiffany Boughtwood, Esmeralda Casas-Silva, Subhashini Chandrasekharan, Sanjay Dave +20 more

6 citations

Jean‐Christophe Bélisle‐Pipon, Benjamin Collins, Ashley Cordes, Kadija Ferryman, Brian McInnis +17 more