🏆 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
0.423Author 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 44%9 citations

Linda B. Baughn, Chad L. Myers, Zohar Sachs, Yoonkyu Lee

Papers

Driven by 4 papers — median percentile 56. Top paper: Machine learning analysis of gene expression reveals TP53 Mutant-like AML with wild type TP53 and poor prognosis.

Top 44%9 citations

Linda B. Baughn, Chad L. Myers, Zohar Sachs, Yoonkyu Lee

10 citations

Henry N. Ward, Mahfuzur Rahman, Maximilian Billmann, Yoonkyu Lee, Chad L. Myers +1 more

2 citations

Yoonkyu Lee, Linda B. Baughn, Chad L. Myers, Zohar Sachs

1 citations

Henry N. Ward, Mahfuzur Rahman, Maximilian Billmann, Yoonkyu Lee, Chad L. Myers +1 more