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

Max Tomlinson

King's College London

ORCID: 0000-0002-9136-543X
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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Adipose tissue eQTL meta-analysis reveals the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits”.

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
0DataRank · unranked
13 citations

Julia S. El-Sayed Moustafa, Li Guan, K. Alaine Broadaway, Dongmeng Wang, Anne Jackson +29 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
0DataRank · unranked
23 citations

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