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

Ryan Welch

University of Michigan

ORCID: 0000-0001-6378-1295
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 2%percentile
2.7Author 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.

The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits

Cell Metabolism(2023)10.1016/j.cmet.2023.03.001
Top 8%
2.7DataRank
Top 8%136 citations

Marcin von Grotthuss, Jeffrey Massung, Dongkeun Jang, Lizz Caulkins, Ryan Koesterer +82 more

Papers

Driven by 17 papers — median percentile 46. Top paper: “Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci”.

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Nature Communications(2022)10.1038/s41467-022-29143-5
N/A
3.9DataRank · unranked
196 citations

Lap Sum Chan, Debraj Bose, Anne Jackson, Peter VandeHaar, Adam E. Locke +33 more

The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits

Cell Metabolism(2023)10.1016/j.cmet.2023.03.001
Top 8%
2.7DataRank
Top 8%136 citations

Marcin von Grotthuss, Jeffrey Massung, Dongkeun Jang, Lizz Caulkins, Ryan Koesterer +82 more

Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D

Nature Communications(2020)10.1038/s41467-020-18581-8
N/A
2.4DataRank · unranked
164 citations

Arushi Varshney, Martijn van de Bunt, Rashmi B. Prasad, Olof Asplund, Amanda J. Bennett +31 more

ACE2 expression in adipose tissue is associated with cardio-metabolic risk factors and cell type composition—implications for COVID-19

International Journal of Obesity(2022)10.1038/s41366-022-01136-w
N/A
1.3DataRank · unranked
44 citations

Anne Jackson, Sarah M. Brotman, Li Guan, Sergio Villicaña, Amy L. Roberts +31 more

Adipose tissue eQTL meta-analysis highlights the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits

Nature Genetics(2025)10.1038/s41588-024-01982-6
N/A
0.477DataRank · unranked
23 citations

Julia S. El-Sayed Moustafa, Li Guan, K. Alaine Broadaway, Dongmeng Wang, Anne Jackson +29 more

Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences

PLoS Genetics(2020)10.1371/journal.pgen.1009019
N/A
0.470DataRank · unranked
22 citations

Apoorva K. Iyengar, Swarooparani Vadlamudi, Chelsea K. Raulerson, Anne Jackson, Sarah M. Brotman +20 more

Adipose tissue eQTL meta-analysis reveals the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.26.563798
N/A
0.440DataRank · unranked
13 citations

Julia S. El-Sayed Moustafa, Li Guan, K. Alaine Broadaway, Dongmeng Wang, Anne Jackson +29 more

ACE2 expression in adipose tissue is associated with COVID-19 cardio-metabolic risk factors and cell type composition

medRxiv(2020)10.1101/2020.08.11.20171108
N/A
0.385DataRank · unranked
12 citations

Anne Jackson, Sarah M. Brotman, Li Guan, Sergio Villicaña, Amy L. Roberts +21 more

Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2025.09.003
N/A
0.104DataRank · unranked
1 citations

K. Alaine Broadaway, Victoria A. Parsons, Swarooparani Vadlamudi, Narisu Narisu, Sarah M. Brotman +15 more

Identifiability Guarantees for Causal Disentanglement from Purely Observational Data

arXiv (Cornell University)(2024)10.48550/arxiv.2410.23620
N/A
0DataRank · unranked
0 citations

Jiaqi Zhang, Caroline Uhler, Ryan Welch

Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

UNC Libraries(2020)10.17615/qy4d-rv77
N/A
0DataRank · unranked
0 citations

Albert V. Smith, Stefan Gustafsson, Laura J. Rasmussen‐Torvik, J. Wouter Jukema, P. Johnson +27 more

Adipose tissue eQTL meta-analysis highlights the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits

UNC Libraries(2025)10.17615/vj0s-7k07
N/A
0DataRank · unranked
0 citations

Chelsea K. Raulerson, Kerrin S. Small, Julia S. El-Sayed Moustafa, Sarah M. Brotman, Laura J. Scott +29 more

Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

UNC Libraries(2020)10.17615/y892-y714
N/A
0DataRank · unranked
0 citations

Wen‐Chi Hsueh, Eric Orwoll, Serkalem Demissie, Liisa Byberg, Arjun Verma +95 more

WikiGWA: an open platform for collecting and using genome-wide association results

UNC Libraries(2020)10.17615/jarv-hf24
Top 100%
0DataRank
Top 100%0 citations

Cristen J. Willer, Jie Huang, Lucia A. Hindorff, Eric Y Liu, Yun Li +1 more

LocusZoom.js: interactive and embeddable visualization of genetic association study results

Bioinformatics(2021)10.1093/bioinformatics/btab186
N/A
0DataRank · unranked
345 citations

Ryan Welch, Matthew Flickinger, Peter VandeHaar, Daniel Taliun, Gonçalo R. Abecasis +2 more

LocusZoom.js: Interactive and embeddable visualization of genetic association study results

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.01.423803
N/A
0DataRank · unranked
35 citations

Ryan Welch, Matthew Flickinger, Peter VandeHaar, Daniel Taliun, Gonçalo R. Abecasis +2 more

Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk

The American Journal of Human Genetics(2022)10.1016/j.ajhg.2022.08.007
N/A
0DataRank · unranked
62 citations

Debraj Bose, Annie Kwon, Sarah C. Hanks, Anne Jackson, Heather M. Stringham +24 more