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

Tushar Mungle

Stanford Medicine

ORCID: 0000-0002-2109-3248

Also affiliated with Stanford University

MedicineComputer Science

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

Tushar Mungle, Maria A. Woodward, Venkatesh Prajna, Rudy M.M.A. Nuijts, Tos T. J. M. Berendschot +2 more

Papers

Driven by 3 papers — median percentile 22. Top paper: To Evaluate the Efficacy of Zero-Shot Prompting Using Large Language Models in the Extraction of Microbial Keratitis Descriptors.

Top 78%1 citations

Tushar Mungle, Maria A. Woodward, Venkatesh Prajna, Rudy M.M.A. Nuijts, Tos T. J. M. Berendschot +2 more

1 citations

Hyonggin An, Chris Andrews, Suzann Pershing, Tushar Mungle, Amanda K. Bicket +36 more

1 citations

Behzad Naderalvojoud, Chris Andrews, Hong Su An, Amanda K. Bicket, Amy Zhang +36 more