Gareth Peat

2.6k total citations · 2 hit papers
4 papers, 627 citations indexed

About

Gareth Peat is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Gareth Peat has authored 4 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Oncology. Recurrent topics in Gareth Peat's work include Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers) and Cancer Genomics and Diagnostics (1 paper). Gareth Peat is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers) and Cancer Genomics and Diagnostics (1 paper). Gareth Peat collaborates with scholars based in United Kingdom and United States. Gareth Peat's co-authors include Ian Dunham, Alfredo Miranda, Eliseo Papa, Jeffrey C. Barrett, Miguel Carmona, Luca Fumis, Miguel Pignatelli, Andrea Pierleoni, David G. Hulcoop and Gautier Koscielny and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Gareth Peat

4 papers receiving 618 citations

Hit Papers

Open Targets Platform: new developments and updates two y... 2018 2026 2020 2023 2018 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gareth Peat United Kingdom 4 395 196 88 80 78 4 627
Miguel Carmona United Kingdom 4 308 0.8× 186 0.9× 80 0.9× 62 0.8× 43 0.6× 7 539
Alfredo Miranda United Kingdom 2 302 0.8× 184 0.9× 73 0.8× 62 0.8× 43 0.6× 2 507
Luca Fumis United Kingdom 2 302 0.8× 184 0.9× 73 0.8× 62 0.8× 43 0.6× 4 507
Sharon L. Freshour United States 2 339 0.9× 91 0.5× 73 0.8× 82 1.0× 103 1.3× 3 585
Jonathan J Song United States 2 336 0.9× 91 0.5× 73 0.8× 82 1.0× 103 1.3× 6 583
Ryan A. Miller United States 6 576 1.5× 80 0.4× 68 0.8× 77 1.0× 134 1.7× 16 856
Dylan M. Glubb Australia 17 307 0.8× 87 0.4× 66 0.8× 35 0.4× 94 1.2× 30 571
Øystein L. Holla Norway 19 293 0.7× 85 0.4× 95 1.1× 97 1.2× 164 2.1× 38 1.0k
Panwen Wang United States 18 690 1.7× 272 1.4× 40 0.5× 55 0.7× 164 2.1× 44 974
Tania Islam Bangladesh 13 365 0.9× 67 0.3× 59 0.7× 57 0.7× 89 1.1× 19 588

Countries citing papers authored by Gareth Peat

Since Specialization
Citations

This map shows the geographic impact of Gareth Peat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gareth Peat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth Peat more than expected).

Fields of papers citing papers by Gareth Peat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gareth Peat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gareth Peat. The network helps show where Gareth Peat may publish in the future.

Co-authorship network of co-authors of Gareth Peat

This figure shows the co-authorship network connecting the top 25 collaborators of Gareth Peat. A scholar is included among the top collaborators of Gareth Peat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gareth Peat. Gareth Peat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Mountjoy, Edward, Ellen M. Schmidt, Miguel Carmona, et al.. (2021). An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci. Nature Genetics. 53(11). 1527–1533. 223 indexed citations breakdown →
2.
Peat, Gareth, et al.. (2020). The open targets post-GWAS analysis pipeline. Bioinformatics. 36(9). 2936–2937. 13 indexed citations
3.
Carvalho‐Silva, Denise, Andrea Pierleoni, Miguel Pignatelli, et al.. (2018). Open Targets Platform: new developments and updates two years on. Nucleic Acids Research. 47(D1). D1056–D1065. 284 indexed citations breakdown →
4.
García‐Alonso, Luz, Francesco Iorio, Angela Matchan, et al.. (2017). Transcription Factor Activities Enhance Markers of Drug Sensitivity in Cancer. Cancer Research. 78(3). 769–780. 107 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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