C.J. Kenyon

66 papers receiving 1.5k citations

Peers

C.J. Kenyon
Comparison fields: 5 of 113
  • Behavioral Neuroscience 220
  • Endocrinology, Diabetes and Metabolism 499
  • Pediatrics, Perinatology and Child Health 506
  • Obstetrics and Gynecology 170
  • Pharmaceutical Science 96
Replace J. Girard with:
J. Girard France
Mary Courtney Moore United States
Dawn E. W. Livingstone United Kingdom
Walter G. Wiest United States
Kaiping Yang Canada
Burton V. Caldwell United States
S. A. Whitehead United Kingdom
Heide S. Cross Austria
Michael W. Greene United States
C. Benassayag France
C.J. Kenyon relative to J. Girard France J. Girard's profile →
Citations per field
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J. Girard · 1×
Citations per year

Countries citing papers authored by C.J. Kenyon

Since Specialization
Citations

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

Fields of papers citing papers by C.J. Kenyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998475
2 201364
3 199754
4 199644
5 200541
6 201641
7 198540
8 200839
9 200637
10 197837
11 198436
12 199734
13 199432
14 199532
15 199331
16 199829
17 198329
18 199429
19 199428
20 199525

About C.J. Kenyon

C.J. Kenyon is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (31 papers), Adrenal Hormones and Disorders (12 papers), Stress Responses and Cortisol (9 papers), Hormonal and reproductive studies (7 papers), Renin-Angiotensin System Studies (5 papers), Adipose Tissue and Metabolism (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers) and Physiological and biochemical adaptations (4 papers). The work is most often cited by research in Behavioral Neuroscience (220 citations), Endocrinology, Diabetes and Metabolism (499 citations), Pediatrics, Perinatology and Child Health (506 citations), Obstetrics and Gynecology (170 citations) and Pharmaceutical Science (96 citations). C.J. Kenyon has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Robert S. Lindsay, J. R. Seckl, Moffat Nyirenda, Ann N. Burchell, R. Fräser, Ian R. Wilding, David J. Morris, Patrick W. F. Hadoke, Pauline E. McEwan and George B.M. Lindop. Their work appears in journals such as Journal of Endocrinology, Clinical Science, The Journal of Steroid Biochemistry and Molecular Biology, Endocrinology and Endocrine Research.

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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