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

Xuenan Mi

Tulane University

ORCID: 0000-0003-0289-0003
Biochemistry, Genetics and Molecular BiologyMedicine

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
0.842Author 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 24%29 citations

Xiao Sun, Karen He, Michael R. Brown, Sarah A. Gagliano Taliun, Jacklyn N. Hellwege +95 more

Papers

Driven by 5 papers — median percentile 76. Top paper: Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension.

Top 24%29 citations

Xiao Sun, Karen He, Michael R. Brown, Sarah A. Gagliano Taliun, Jacklyn N. Hellwege +95 more

28 citations

Kelsey Grinde, Jennifer A. Brody, Charles E. Breeze, Laura M. Raffield, Josyf C. Mychaleckyj +68 more

15 citations

Xiao Sun, Xuenan Mi, Zhijie Huang, Y.Y. Hsu, James E. Hixson +47 more

38 citations

Lydia Bazzano, Jiang He, Shengxu Li, Camilo Fernandez, Seamus P. Whelton +8 more

N/A
0DataRank · unranked
4 citations

Xuenan Mi, Jerry Cornell, Wan Tang, Tanika N. Kelly, Hui Shen +3 more