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

Chris McGlory

Queen's University

ORCID: 0000-0003-4853-4960

Also affiliated with McMaster University

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: “Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling”.

Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling

NAR Molecular Medicine(2024)10.1093/narmme/ugae016

N/A

0DataRank · unranked

10 citations

Changhyun Lim, Tanner Stokes, Jalil-Ahmad Sharif, Vagif Zeynalli, Lucas Wiens +12 more

Identification of a Resistance Exercise-Specific Signaling Pathway that Drives Skeletal Muscle Growth

Research Square(2024)10.21203/rs.3.rs-4997138/v1

N/A

0DataRank · unranked

4 citations

Aaron C. Q. Thomas, Gary M. Wilson, Jamie E. Hibbert, Corey Flynn, Chris McGlory +8 more

Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.08.11.606848

N/A

0DataRank · unranked

1 citations

Changhyun Lim, Tanner Stokes, Jalil-Ahmad Sharif, Vagif Zeynalli, Lucas Wiens +12 more