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

Min Zeng

University of Minnesota

ORCID: 0009-0007-8289-6419
EngineeringComputer Science

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 100%percentile
0Author 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 40%13 citations

Shao-Yan Pu, Shao-Jie Zhang, Qi-Jun Zhou, Min Zeng, Jing-Sheng Lu +4 more

Papers

Driven by 3 papers — median percentile 60. Top paper: Integrative analysis of potential diagnostic markers and therapeutic targets for glomerulus-associated diabetic nephropathy based on cellular senescence.

36 citations

Shuqi Wei, Dandan Wang, Min Zeng, Yihao Mo, Huafeng Li +5 more

Top 40%13 citations

Shao-Yan Pu, Shao-Jie Zhang, Qi-Jun Zhou, Min Zeng, Jing-Sheng Lu +4 more

0 citations

Shuang Zhou, Yu Hou, Yiran Song, Min Zeng, Fang Tian +10 more