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

Ge Bai

Johns Hopkins University

ORCID: 0000-0002-6550-1557

Also affiliated with Johns Hopkins Medicine

Economics, Econometrics and FinanceHealth 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 4%percentile
0.631Author 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 31%6 citations

Chen Dun, Andrea S. Meyer, Sanuri Hennayake, Christi Walsh, Christopher Kung +7 more

Papers

Driven by 5 papers — median percentile 69. Top paper: NIH funding of COVID-19 research in 2020: a cross-sectional study.

Top 31%6 citations

Chen Dun, Andrea S. Meyer, Sanuri Hennayake, Christi Walsh, Christopher Kung +7 more

2 citations

Chen Dun, Andrea S. Meyer, Sanuri Hennayake, Christi Walsh, Christopher Kung +7 more

N/A
0DataRank · unranked
0 citations

Nathalie Schmid, Matthias Salathé, Lawrence E. Ostrowski, Andreas Schmid, Nevis Fregien +3 more

4 citations

Yang Wang, Jianhui Xu, Ge Bai, Gerard F. Anderson, Mark K. Meiselbach +1 more

20 citations

Joseph S. Ross, Ge Bai, John Jiang