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

Bibo Jiang

ORCID: 0000-0001-8336-9302
Biochemistry, Genetics and Molecular BiologyMaterials ScienceMedicine

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
0.589Author 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.

Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes

Nature Communications(2024)10.1038/s41467-024-48143-1
Top 33%
0.589DataRank
Top 33%16 citations

Chachrit Khunsriraksakul, Havell Markus, Dieyi Chen, Fan Zhang, Fang Chen +5 more

Papers

Driven by 8 papers — median percentile 67. Top paper: “Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes”.

Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes

Nature Communications(2024)10.1038/s41467-024-48143-1
Top 33%
0.589DataRank
Top 33%16 citations

Chachrit Khunsriraksakul, Havell Markus, Dieyi Chen, Fan Zhang, Fang Chen +5 more

Construction and Application of Polygenic Risk Scores in Autoimmune Diseases

Frontiers in Immunology(2022)10.3389/fimmu.2022.889296
N/A
0DataRank · unranked
26 citations

Havell Markus, Nancy J. Olsen, Laura Carrel, Bibo Jiang, Dajiang J. Liu +1 more

Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus

Nature Communications(2023)10.1038/s41467-023-36306-5
N/A
0DataRank · unranked
74 citations

Qinmengge Li, Havell Markus, Matthew T. Patrick, Renan Sauteraud, Daniel McGuire +13 more

Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing

Nature Genetics(2023)10.1038/s41588-022-01282-x
N/A
0DataRank · unranked
56 citations

Xingyan Wang, Seon-Kyeong Jang, Bryan C. Quach, J. Dylan Weissenkampen, Chachrit Khunsriraksakul +85 more

Dissecting heritability, environmental risk, and air pollution causal effects using > 50 million individuals in MarketScan

Nature Communications(2024)10.1038/s41467-024-49566-6
N/A
0DataRank · unranked
5 citations

Havell Markus, Lina Yang, Jingyu Xu, Austin Montgomery, Arthur Berg +5 more

An atlas of single-cell eQTLs dissects autoimmune disease genes and identifies novel drug classes for treatment

Cell Genomics(2025)10.1016/j.xgen.2025.100820
N/A
0DataRank · unranked
8 citations

Havell Markus, Dieyi Chen, Siyuan Chen, Fan Zhang, Shuang Gao +8 more

Integrating 3D genomic and epigenomic data to enhance target gene discovery and drug repurposing in transcriptome-wide association studies

Nature Communications(2022)10.1038/s41467-022-30956-7
N/A
0DataRank · unranked
43 citations

Daniel McGuire, Renan Sauteraud, Fang Chen, Lina Yang, Lida Wang +9 more

Integrating electronic health records and GWAS summary statistics to predict the progression of autoimmune diseases from preclinical stages

Nature Communications(2025)10.1038/s41467-024-55636-6
N/A
0DataRank · unranked
6 citations

Havell Markus, Avantika R. Diwadkar, Chachrit Khunsriraksakul, Laura Carrel, Bingshan Li +8 more