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

Lida Wang

Pennsylvania State University

ORCID: 0000-0002-7990-7347

Also affiliated with William Penn University

Biochemistry, Genetics and Molecular BiologyImmunology and MicrobiologyComputer Science

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 6 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

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

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

Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets

Nature Communications(2024)10.1038/s41467-024-46132-y
N/A
0DataRank · unranked
23 citations

Chachrit Khunsriraksakul, James Eales, Sébastien Rubin, David Scannali, Sushant Saluja +34 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 axis quantitative trait loci looks beyond cell types and offers insights into brain-related traits

Nature Communications(2025)10.1038/s41467-025-65643-w
N/A
0DataRank · unranked
3 citations

Shuang Gao, Siyuan Chen, Havell Markus, Gao Wang, Laura Carrel +4 more