Toby Kent

32 total papers · 556 total citations
21 papers, 404 citations indexed

About

Toby Kent is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Toby Kent has authored 21 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Rheumatology. Recurrent topics in Toby Kent's work include Receptor Mechanisms and Signaling (9 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Toby Kent is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Toby Kent collaborates with scholars based in United Kingdom, Switzerland and United States. Toby Kent's co-authors include Steven J. Charlton, Mark R. Dowling, Alexandre Trifilieff, David A. Sykes, Juliet Leighton-Davies, Paul D. Wright, Martin Gosling, Paul J. Groot‐Kormelink, Elizabeth M. Rosethorne and David D’Cruz and has published in prestigious journals such as PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and Molecular Pharmacology.

In The Last Decade

Toby Kent

21 papers receiving 392 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Toby Kent 201 83 80 75 71 21 404
R V Bundick 168 0.8× 70 0.8× 28 0.3× 172 2.3× 29 0.4× 20 470
K. Wakitani 191 1.0× 45 0.5× 50 0.6× 41 0.5× 65 0.9× 15 474
Katsunari Taguchi 126 0.6× 60 0.7× 36 0.5× 41 0.5× 62 0.9× 19 368
Thomas A. Fey 197 1.0× 37 0.4× 26 0.3× 124 1.7× 38 0.5× 24 422
Chang‐Min Liang 152 0.8× 17 0.2× 39 0.5× 47 0.6× 22 0.3× 22 463
I. Jaffe 147 0.7× 27 0.3× 42 0.5× 71 0.9× 12 0.2× 19 475
Alessio Moriconi 147 0.7× 63 0.8× 15 0.2× 120 1.6× 59 0.8× 21 465
Christine R. Albrightson 204 1.0× 47 0.6× 36 0.5× 84 1.1× 38 0.5× 21 463
Yihao Zhang 190 0.9× 50 0.6× 38 0.5× 30 0.4× 35 0.5× 35 386
Haixiang Su 174 0.9× 132 1.6× 28 0.3× 41 0.5× 17 0.2× 20 465

Countries citing papers authored by Toby Kent

Since Specialization
Citations

This map shows the geographic impact of Toby Kent'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 Toby Kent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby Kent more than expected).

Fields of papers citing papers by Toby Kent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toby Kent. 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 Toby Kent. The network helps show where Toby Kent may publish in the future.

Co-authorship network of co-authors of Toby Kent

This figure shows the co-authorship network connecting the top 25 collaborators of Toby Kent. A scholar is included among the top collaborators of Toby Kent 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 Toby Kent. Toby Kent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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