Nigel Irwin

217 papers receiving 5.4k citations

Peers

Nigel Irwin
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 3.6k
  • Endocrine and Autonomic Systems 909
  • Cellular and Molecular Neuroscience 1.7k
  • Surgery 2.5k
  • Physiology 953
Replace Jonathan E. Campbell with:
Jonathan E. Campbell Canada
Yugo Habata Japan
Yasuhiko Okimura Japan
Ana M. Fernández Spain
Yuji Kawamata Japan
Kristoffer L. Egerod Denmark
Masaki Hosoya Japan
Julio E. Ayala United States
Kenju Shimomura Japan
Anthony P. Coll United Kingdom
Nigel Irwin relative to Jonathan E. Campbell Canada Jonathan E. Campbell's profile →
Citations per field
00.5×4.3×
Jonathan E. Campbell · 1×
Citations per year

Countries citing papers authored by Nigel Irwin

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Irwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nigel Irwin, 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 Irwin Line = papers co-authored together Nigel Irwin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007209
2 2005135
3 2007119
4 2009106
5 2006102
6 2013101
7 201392
8 200991
9 201389
10 200788
11 200783
12 201672
13 201271
14 201070
15 201469
16 201569
17 201567
18 201160
19 201860
20 201857

About Nigel Irwin

Nigel Irwin is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems, having authored 221 papers that have together received 5.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (147 papers), Pancreatic function and diabetes (113 papers), Neuropeptides and Animal Physiology (95 papers), Metabolism, Diabetes, and Cancer (38 papers), Regulation of Appetite and Obesity (37 papers), Peptidase Inhibition and Analysis (30 papers), Diabetes and associated disorders (28 papers) and Receptor Mechanisms and Signaling (23 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.6k citations), Endocrine and Autonomic Systems (909 citations), Cellular and Molecular Neuroscience (1.7k citations), Surgery (2.5k citations) and Physiology (953 citations). Nigel Irwin has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Peter R. Flatt, Victor A. Gault, Finbarr O’Harte, R. Charlotte Moffett, Brian D. Green, Paula L. McClean, Guillaume Mabilleau, Daniel Chappard, Patrick Harriott and Ryan A. Lafferty. Their work appears in journals such as Peptides, Diabetes Obesity and Metabolism, Biological Chemistry, Journal of Endocrinology and Biochemical Pharmacology.

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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