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

Vincent C. Auyeung

University of California, San Francisco

ORCID: 0000-0001-6273-1595

Also affiliated with University of San Francisco

MedicineBiochemistry, Genetics and Molecular Biology

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 3%percentile
1.3Author DataRank

Indexed papers

2in 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 2 indexed papers 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 16%11 citations

Narges Alipanah, Rebecca Crowder, Christina Yoon, Richard Wang, Neeta Thakur +17 more

Papers

Driven by 4 papers — median percentile 84. Top paper: Management and Outcomes of Critically-Ill Patients with COVID-19 Pneumonia at a Safety-net Hospital in San Francisco, a Region with Early Public Health Interventions: A Case Series.

Top 16%11 citations

Narges Alipanah, Rebecca Crowder, Christina Yoon, Richard Wang, Neeta Thakur +17 more

153 citations

F. Xiao-Feng Qin, Vincent C. Auyeung, Si Hua Mao, Sam K.P. Kung, David Baltimore +2 more

13 citations

Christopher Molina, Xin Ren, Vincent C. Auyeung, Max Cohen, Tatsuya Tsukui +3 more

16 citations

Javier Gómez Ortega, Prerna Dabral, Whitney Tamaki, Charles Chien, K. C. Chang +30 more