Nigel J. Cuthbert

23 papers receiving 600 citations

Peers

Nigel J. Cuthbert
Comparison fields: 5 of 65
  • Physiology 438
  • Immunology and Allergy 78
  • Cellular and Molecular Neuroscience 188
  • Pharmacology 106
  • Immunology 121
Replace Marwa N. Samhoun with:
Marwa N. Samhoun United Kingdom
Jorge De Alba Spain
Victoria Boswell‐Smith United Kingdom
Katsuya Ohata Japan
Susumu Otomo Japan
J. De Alba Spain
Kaoru Irie Japan
Beavo Ja United States
Grant Scotland United Kingdom
Laurie E. Lambert United States
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Citations per year

Countries citing papers authored by Nigel J. Cuthbert

Since Specialization
Citations

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

Fields of papers citing papers by Nigel J. Cuthbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel J. Cuthbert. 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 Nigel J. Cuthbert. The network helps show where Nigel J. Cuthbert may publish in the future.

Co-authors

The 24 scholars most cited alongside Nigel J. Cuthbert, 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 Nigel J. Cuthbert Line = papers co-authored together Nigel J. Cuthbert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992134
2 198175
3 199470
4 199167
5 199438
6 199032
7 197930
8 198728
9 198125
10 199318
11 199017
12 199317
13 199115
14 199213
15 199411
16 199410
17 19919
18 19888
19 19956
20 19915

About Nigel J. Cuthbert

Nigel J. Cuthbert is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Pharmacology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 634 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (14 papers), Respiratory and Cough-Related Research (5 papers), Ion channel regulation and function (4 papers), Neuropeptides and Animal Physiology (3 papers), Chemical Synthesis and Analysis (3 papers), Mast cells and histamine (2 papers), Allergic Rhinitis and Sensitization (2 papers) and Veterinary Pharmacology and Anesthesia (2 papers). The work is most often cited by research in Physiology (438 citations), Immunology and Allergy (78 citations), Cellular and Molecular Neuroscience (188 citations), Pharmacology (106 citations) and Immunology (121 citations). Nigel J. Cuthbert has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Phillip J. Gardiner, Peter Norman, Trevor S. Abram, David Francis, H. O. J. COLLIER, M.G. McKenniff, J.L. Ortiz, Isabelle Gorenne, Carlos Labat and Xavier Norel. Their work appears in journals such as European Journal of Pharmacology, Annals of the New York Academy of Sciences, British Journal of Pharmacology, Biochemical Society Transactions and Journal of Pharmacology and Experimental Therapeutics.

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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