🏆 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 5%percentile
0.434Author 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 43%13 citations

Tejasvi Kothapalli, Jiayun Wang, Jennifer Ding, Vivien Tse, Penny A. Asbell +3 more

Papers

Driven by 6 papers — median percentile 57. Top paper: A machine learning approach to predicting dry eye-related signs, symptoms and diagnoses from meibography images.

Top 43%13 citations

Tejasvi Kothapalli, Jiayun Wang, Jennifer Ding, Vivien Tse, Penny A. Asbell +3 more

51 citations

LI Shixuan, Thao N. Yeh, Rudrasis Chakraborty, Andrew D. Graham, Stella X. Yu +2 more

13 citations

Andrew D. Graham, Stella X. Yu, Meng C. Lin, Chun-Hsiao Yeh

0 citations

Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen +3 more

5 citations

Jiayun Wang, Tejasvi Kothapalli, Jennifer Ding, Helen Tasho, Alisa K. Molina +5 more

0 citations

Chun-Hsiao Yeh, Meng C. Lin, Andrew D. Graham