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

Heng Xu

Beijing University of Chinese Medicine

ORCID: 0000-0002-7252-284X

Also affiliated with Shenzhen University, Yale University, Shanghai Ninth People's Hospital, Shenzhen Technology University

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 2%percentile
2.1Author 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.

Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals

Nature Medicine(2023)10.1038/s41591-023-02653-5
Top 10%
2.1DataRank
Top 10%181 citations

Rachel L. Kember, Joseph D. Deak, Heng Xu, Sylvanus Toikumo, Kai Yuan +44 more

Papers

Driven by 10 papers — median percentile 90. Top paper: “Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals”.

Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals

Nature Medicine(2023)10.1038/s41591-023-02653-5
Top 10%
2.1DataRank
Top 10%181 citations

Rachel L. Kember, Joseph D. Deak, Heng Xu, Sylvanus Toikumo, Kai Yuan +44 more

A multi-ancestry genetic study of pain intensity in 598,339 veterans

Nature Medicine(2024)10.1038/s41591-024-02839-5
N/A
0.904DataRank · unranked
44 citations

Rachel Vickers‐Smith, Zeal Jinwala, Heng Xu, Divya Saini, Emily E. Hartwell +15 more

Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes

Nature Human Behaviour(2024)10.1038/s41562-024-01851-6
N/A
0.770DataRank · unranked
56 citations

Mariela Jennings, Benjamin K. Pham, Hyunjoon Lee, Travis T. Mallard, Sevim B. Bianchi +32 more

Does polygenic risk for substance‐related traits predict ages of onset and progression of symptoms?

Addiction(2023)10.1111/add.16210
N/A
0DataRank · unranked
13 citations

Richard Feinn, Heng Xu, Brendan L. Ho, Divya Saini, Olivia R. Nicastro +6 more

Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample

Biological Psychiatry(2022)10.1016/j.biopsych.2022.08.010
N/A
0DataRank · unranked
51 citations

Emily E. Hartwell, Heng Xu, James A. Rotenberg, Laura Almasy, Hang Zhou +3 more

The genetic architecture of pain intensity in a sample of 598,339 U.S. veterans

medRxiv(2023)10.1101/2023.03.09.23286958
N/A
0DataRank · unranked
4 citations

Rachel Vickers‐Smith, Zeal Jinwala, Heng Xu, Divya Saini, Emily E. Hartwell +15 more

The genetic architecture of pain intensity in a sample of 598,339 U.S. veterans

Research Square(2023)10.21203/rs.3.rs-2670887/v1
N/A
0DataRank · unranked
3 citations

Sylvanus Toikumo, Rachel Vickers‐Smith, Zeal Jinwala, Heng Xu, Divya Saini +14 more

Multi-ancestry meta-analysis of tobacco use disorder prioritizes novel candidate risk genes and reveals associations with numerous health outcomes

medRxiv(2023)10.1101/2023.03.27.23287713
N/A
0DataRank · unranked
7 citations

Mariela Jennings, Benjamin K. Pham, Hyunjoon Lee, Travis T. Mallard, Sevim B. Bianchi +31 more

Phenome-wide association analysis of substance use disorders in a deeply phenotyped sample

medRxiv(2022)10.1101/2022.02.09.22270737
N/A
0DataRank · unranked
8 citations

Emily E. Hartwell, Heng Xu, James A. Rotenberg, Laura Almasy, Hang Zhou +3 more

Polygenic Risk for Substance-Related Traits Predicts Substance Use Onset and Progression: Sex and Population Group Differences

medRxiv(2022)10.1101/2022.09.29.22280477
N/A
0DataRank · unranked
0 citations

Richard Feinn, Heng Xu, Brendan L. Ho, Divya Saini, Olivia R. Nicastro +6 more