Toby Kent

21 papers receiving 428 citations

Peers

Toby Kent
Comparison fields: 5 of 74
  • Sensory Systems 19
  • Cellular and Molecular Neuroscience 73
  • Rheumatology 48
  • Radiology, Nuclear Medicine and Imaging 72
  • Immunology 62
Replace Tadeusz Biegański with:
Tadeusz Biegański Poland
Francesco Sirci Italy
A. Eberle Germany
D. F. Hora United States
Alexander R. Harmer United Kingdom
Tobias Dreker Germany
Suma I. Shimuta Brazil
Paulina Wakula Germany
Hana Yamane Japan
Michael Yeadon United Kingdom
Toby Kent relative to Tadeusz Biegański Poland Tadeusz Biegański's profile →
Citations per field
00.5×3.1×
Tadeusz Biegański · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Toby Kent, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Toby Kent Line = papers co-authored together Toby Kent links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201298
2 201469
3 201362
4 201245
5 201735
6 201830
7 201814
8
G-protein-coupled receptor heterodimerization: assay technologies to clinical significance.
200714
9 202110
10 201510
11 200510
12 200210
13 20149
14
THE ECONOMIC BURDEN OF MINOR AILMENTS ON THE NATIONAL HEALTH SERVICE IN THE UK - Selfcare Journal
20156
15 20156
16 20224
17 20144
18 20132
19 20211
20 20191

About Toby Kent

Toby Kent is a scholar working on Molecular Biology, Immunology, Rheumatology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 441 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Spondyloarthritis Studies and Treatments (2 papers), Neurobiology and Insect Physiology Research (2 papers), Asthma and respiratory diseases (2 papers) and Postharvest Quality and Shelf Life Management (1 paper). The work is most often cited by research in Sensory Systems (19 citations), Cellular and Molecular Neuroscience (73 citations), Rheumatology (48 citations), Radiology, Nuclear Medicine and Imaging (72 citations) and Immunology (62 citations). Toby Kent has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Steven J. Charlton, Alexandre Trifilieff, David A. Sykes, Mark R. Dowling, Juliet Leighton-Davies, Martin Gosling, Elizabeth M. Rosethorne, Paul J. Groot‐Kormelink, Paul D. Wright and Daniel S. Newman. Their work appears in journals such as Lara D. Veeken, Molecular Pharmacology, SLAS DISCOVERY, Toxicology and Applied Pharmacology and Pharmacology Research & Perspectives.

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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