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

Wenjian Bi

Peking University

ORCID: 0000-0002-5108-9311
Biochemistry, Genetics and Molecular Biology

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 5%percentile
0.422Author 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.

Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data

Frontiers in Genetics(2021)10.3389/fgene.2021.682638
Top 44%
0.422DataRank
Top 44%8 citations

Seunggeun Lee, Wenjian Bi

Papers

Driven by 14 papers — median percentile 56. Top paper: “Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer’s Disease Progression”.

Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer’s Disease Progression

Neuron(2020)10.1016/j.neuron.2019.12.015
N/A
7.9DataRank · unranked
616 citations

Xusheng Wang, Yuxin Li, Ping-Chung Chen, Kaiwen Yu, Kaushik Dey +29 more

Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data

Nature Genetics(2022)10.1038/s41588-021-00997-7
N/A
7.2DataRank · unranked
363 citations

Deepti Jain, Zhili Zheng, TOPMed Anthropometry Working Group, Stella Aslibekyan, Diane M. Becker +95 more

De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population

Proceedings of the National Academy of Sciences(2020)10.1073/pnas.1902766117
N/A
3.0DataRank · unranked
112 citations

Douglas P. Loesch, James A. Perry, Nancy L. Heard‐Costa, Daniel Taliun, Brian E. Cade +93 more

SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

Nature Genetics(2022)10.1038/s41588-022-01178-w
N/A
0.749DataRank · unranked
146 citations

Wenjian Bi, Zhangchen Zhao, Kushal K. Dey, Karthik A. Jagadeesh, Konrad J. Karczewski +4 more

A Fast and Accurate Method for Genome-Wide Time-to-Event Data Analysis and Its Application to UK Biobank

The American Journal of Human Genetics(2020)10.1016/j.ajhg.2020.06.003
N/A
0.677DataRank · unranked
90 citations

Lars G. Fritsche, Bhramar Mukherjee, Sehee Kim, Seunggeun Lee, Wenjian Bi

Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data

Frontiers in Genetics(2021)10.3389/fgene.2021.682638
Top 44%
0.422DataRank
Top 44%8 citations

Seunggeun Lee, Wenjian Bi

Set-based rare variant association tests for biobank scale sequencing data sets

medRxiv(2021)10.1101/2021.07.12.21260400
N/A
0.312DataRank · unranked
7 citations

Wenjian Bi, Zhangchen Zhao, Kushal K. Dey, Karthik A. Jagadeesh, Konrad J. Karczewski +4 more

Incorporating family disease history and controlling case–control imbalance for population-based genetic association studies

Bioinformatics(2022)10.1093/bioinformatics/btac459
N/A
0.241DataRank · unranked
4 citations

Brooke N. Wolford, Kisung Nam, Wenjian Bi, Wei Zhou, Cristen J. Willer +3 more

Leveraging longitudinal data to boost statistical power for gene–environment interaction analysis

Nature Computational Science(2026)10.1038/s43588-026-01002-z
N/A
0.104DataRank · unranked
1 citations

Yuzhuo Ma, Yufei Liu, Yin Li, Lin Wan, Ji-Feng Zhang +5 more

Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.09.333146
N/A
0DataRank · unranked
2 citations

Wei Zhou, Rounak Dey, Bhramar Mukherjee, Joshua N. Sampson, Seunggeun Lee +1 more

A Robust and Powerful Set-Valued Approach to Rare Variant Association Analyses of Secondary Traits in Case-Control Sequencing Studies

UNC Libraries(2020)10.17615/ccsr-jf08
N/A
0DataRank · unranked
1 citations

Hang Zhang, Sanjay Shete, Fei Zou, Guolian Kang, Stanley Pounds +5 more

Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes

The American Journal of Human Genetics(2021)10.1016/j.ajhg.2021.03.019
N/A
0DataRank · unranked
63 citations

Wei Zhou, Rounak Dey, Bhramar Mukherjee, Joshua N. Sampson, Seunggeun Lee +1 more

Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK Biobank

The American Journal of Human Genetics(2023)10.1016/j.ajhg.2023.03.010
N/A
0DataRank · unranked
6 citations

Wei Zhou, Peipei Zhang, Yaoyao Sun, Weihua Yue, Seunggeun Lee +1 more

Multitrait GWAS of non-suicidal self-injury and the polygenetic effects on child psychopathology and brain structures

Cell Reports Medicine(2025)10.1016/j.xcrm.2025.102119
N/A
0DataRank · unranked
6 citations

Guorui Zhao, Yuyanan Zhang, Zhe Lu, Zhewei Kang, Junyuan Sun +10 more