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

Xin Yuan

Macau University of Science and Technology

ORCID: 0000-0001-9784-0484
MedicineImmunology and MicrobiologySocial SciencesPsychology

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
0.788Author 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 43%9 citations

Linda J. Koenig, Yunfeng Tie, Xin Yuan, Jennifer L. Fagan, Kate Buchacz +3 more

Papers

Driven by 6 papers — median percentile 54. Top paper: Prevalence of Diagnosed and Undiagnosed Depression Among US Adults with Human Immunodeficiency Virus: Data from the Medical Monitoring Project.

Top 43%9 citations

Linda J. Koenig, Yunfeng Tie, Xin Yuan, Jennifer L. Fagan, Kate Buchacz +3 more

Top 50%6 citations

Robyn Neblett Fanfair, Sharoda Dasgupta, Yunfeng Tie, Xin Yuan, Linda Beer +2 more

11 citations

Ruth E. Luna‐Gierke, Tamara Carree, Mariana Gutierrez, Xin Yuan, Sharoda Dasgupta +1 more

N/A
0DataRank · unranked
2 citations

Yunfeng Tie, Xin Yuan, Qingwei Luo, Linda Beer, Sharoda Dasgupta +1 more

17 citations

Linda Beer, Mona Saraiya, Yunfeng Tie, Xin Yuan, John Weiser +1 more

8 citations

Linda Beer, Xin Yuan, Yunfeng Tie, Amy R. Baugher, William L. Jeffries +3 more