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

Chenxin Tan

New York University

ORCID: 0000-0002-8596-3935
DentistrySocial SciencesMedicine

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 7%percentile
0.104Author 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 78%1 citations

Wenbo Wu, Yanping Jiang, Jane Sze Yin Sui, Chenxin Tan, Xiang Qi +1 more

Papers

Driven by 4 papers — median percentile 22. Top paper: Machine learning approaches to racial/ethnic differences in social determinants of mild cognitive impairment and its progression to dementia in the All of Us Research Program.

Top 78%1 citations

Wenbo Wu, Yanping Jiang, Jane Sze Yin Sui, Chenxin Tan, Xiang Qi +1 more

57 citations

Bei Wu, Angela R. Kamer, Samrachana Adhikari, Frank A. Sloan, Brenda L. Plassman +4 more

28 citations

Huabin Luo, Chenxin Tan, Xiang Qi, Frank A. Sloan, Angela R. Kamer +4 more

1 citations

Chenxin Tan, Huabin Luo, Brenda L. Plassman, Frank A. Sloan, Angela R. Kamer +3 more