Matthew Pearce

Also affiliated with Medical Research Council

MedicinePsychologySocial Sciences

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 4 papers. Top paper: “Meat consumption and incident type 2 diabetes: an individual-participant federated meta-analysis of 1·97 million adults with 100 000 incident cases from 31 cohorts in 20 countries”.

Meat consumption and incident type 2 diabetes: an individual-participant federated meta-analysis of 1·97 million adults with 100 000 incident cases from 31 cohorts in 20 countries

The Lancet Diabetes & Endocrinology(2024)10.1016/s2213-8587(24)00179-7

N/A

0.666DataRank · unranked

84 citations

Tom Bishop, Fumiaki Imamura, Stephen J. Sharp, Matthew Pearce, Søren Brage +56 more

Heterogeneity of Associations between Total and Types of Fish Intake and the Incidence of Type 2 Diabetes: Federated Meta-Analysis of 28 Prospective Studies Including 956,122 Participants

Nutrients(2021)10.3390/nu13041223

N/A

0.385DataRank · unranked

12 citations

Tom Bishop, Stephen J. Sharp, Matthew Pearce, Tasnime Akbaraly, Natália Bordin Barbieri +33 more

Associations of Total Legume, Pulse, and Soy Consumption with Incident Type 2 Diabetes: Federated Meta-Analysis of 27 Studies from Diverse World Regions

Journal of Nutrition(2020)10.1093/jn/nxaa447

N/A

0DataRank · unranked

51 citations

Anouar Fanidi, Tom Bishop, Stephen J. Sharp, Fumiaki Imamura, Stefan Dietrich +33 more

Heterogeneity of Associations between Total and Types of Fish Intake and the Incidence of Type 2 Diabetes: Federated Meta-Analysis of 28 Prospective Studies Including 956,122 Participants

LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)(2021)10.17863/cam.66752

N/A

0DataRank · unranked

0 citations

Tom Bishop, Stephen J. Sharp, Matthew Pearce, Tasnime Akbaraly, Natália Bordin Barbieri +33 more