Christopher J. Kenyon

4.7k total citations
90 papers, 3.7k citations indexed

About

Christopher J. Kenyon is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Christopher J. Kenyon has authored 90 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Endocrinology, Diabetes and Metabolism, 28 papers in Molecular Biology and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Christopher J. Kenyon's work include Hormonal Regulation and Hypertension (65 papers), Adrenal Hormones and Disorders (20 papers) and Stress Responses and Cortisol (18 papers). Christopher J. Kenyon is often cited by papers focused on Hormonal Regulation and Hypertension (65 papers), Adrenal Hormones and Disorders (20 papers) and Stress Responses and Cortisol (18 papers). Christopher J. Kenyon collaborates with scholars based in United Kingdom, United States and Switzerland. Christopher J. Kenyon's co-authors include Jonathan R. Seckl, John J. Mullins, Megan C. Holmes, Nicholas M. Morton, Brian R. Walker, Janice M. Paterson, Dawn E. W. Livingstone, Yuri Kotelevtsev, Stewart Fleming and Ruth Andrew and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Christopher J. Kenyon

90 papers receiving 3.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher J. Kenyon United Kingdom 31 2.4k 754 702 619 528 90 3.7k
Eleanor Davies United Kingdom 31 2.5k 1.1× 796 1.1× 327 0.5× 223 0.4× 871 1.6× 80 3.6k
Dawn E. W. Livingstone United Kingdom 25 2.0k 0.9× 361 0.5× 464 0.7× 853 1.4× 361 0.7× 46 3.0k
Maria‐Christina Zennaro France 41 3.3k 1.4× 1.8k 2.4× 389 0.6× 565 0.9× 1.7k 3.2× 130 4.9k
Damián G. Romero United States 32 1.3k 0.5× 767 1.0× 286 0.4× 228 0.4× 397 0.8× 98 2.6k
Justin L. Grobe United States 37 1.0k 0.4× 1.4k 1.9× 155 0.2× 836 1.4× 500 0.9× 159 4.4k
William G. Blackard United States 33 2.5k 1.1× 931 1.2× 160 0.2× 1.1k 1.7× 981 1.9× 105 4.8k
Donald P. Island United States 38 2.5k 1.0× 648 0.9× 779 1.1× 504 0.8× 577 1.1× 76 4.4k
Åsa Tivesten Sweden 28 1.5k 0.6× 786 1.0× 99 0.1× 450 0.7× 192 0.4× 70 2.9k
F. P. Alford Australia 36 2.0k 0.8× 700 0.9× 85 0.1× 1.0k 1.7× 722 1.4× 118 3.5k
David P. Brooks United States 36 579 0.2× 1.4k 1.8× 268 0.4× 819 1.3× 280 0.5× 178 4.0k

Countries citing papers authored by Christopher J. Kenyon

Since Specialization
Citations

This map shows the geographic impact of Christopher 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 Christopher 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 Christopher J. Kenyon more than expected).

Fields of papers citing papers by Christopher J. Kenyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher J. Kenyon

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

All Works

20 of 20 papers shown
1.
Vandermosten, Leen, Thao‐Thy Pham, Natacha Lays, et al.. (2018). Adrenal hormones mediate disease tolerance in malaria. Nature Communications. 9(1). 4525–4525. 30 indexed citations
2.
Buckley, Charlotte, Robert Nelson, L. J. Mullins, et al.. (2017). Phenotypic dissection of the mouse Ren1d knockout by complementation with human renin. Journal of Biological Chemistry. 293(4). 1151–1162. 2 indexed citations
3.
Kenyon, Christopher J., et al.. (2017). Midlife stress alters memory and mood-related behaviors in old age: Role of locally activated glucocorticoids. Psychoneuroendocrinology. 89. 13–22. 15 indexed citations
4.
Evans, Louise, Jessica R. Ivy, Caitlin S. Wyrwoll, et al.. (2016). Conditional Deletion of Hsd11b2 in the Brain Causes Salt Appetite and Hypertension. Circulation. 133(14). 1360–1370. 56 indexed citations
5.
Livingstone, Dawn E. W., Chenjing Yang, John Mathews, et al.. (2014). Relative adrenal insufficiency in mice deficient in 5α-reductase 1. Journal of Endocrinology. 222(2). 257–266. 24 indexed citations
6.
Rog‐Zielinska, Eva A., Adrian Thomson, Christopher J. Kenyon, et al.. (2013). Glucocorticoid receptor is required for foetal heart maturation. Human Molecular Genetics. 22(16). 3269–3282. 135 indexed citations
7.
Iqbal, Javaid, Ruth Andrew, Nicholas L. Cruden, et al.. (2012). Mineralocorticoid Receptor Antagonists Displace Cortisol, not Aldosterone, from the Human Heart. Circulation. 126(21). 1 indexed citations
8.
Ashek, Ali, Robert Menzies, L. J. Mullins, et al.. (2012). Activation of Thiazide-Sensitive Co-Transport by Angiotensin II in the cyp1a1-Ren2 Hypertensive Rat. PLoS ONE. 7(4). e36311–e36311. 25 indexed citations
9.
Rog‐Zielinska, Eva A., Adrian Thomson, Carmel M. Moran, et al.. (2011). Impaired cardiac function in GR-/- fetal mice. 25(3). 344–9. 1 indexed citations
10.
Horvat, Simon, L. Bünger, Megan C. Holmes, et al.. (2008). Divergent Physical Activity and Novel Alternative Responses to High Fat Feeding in Polygenic Fat and Lean Mice. Behavior Genetics. 38(3). 292–300. 20 indexed citations
11.
O’Regan, David, Christopher J. Kenyon, Jonathan R. Seckl, & Megan C. Holmes. (2007). Prenatal dexamethasone ‘programmes’ hypotension, but stress-induced hypertension in adult offspring. Journal of Endocrinology. 196(2). 343–352. 73 indexed citations
12.
Michailidou, Zoi, Anthony P. Coll, Christopher J. Kenyon, et al.. (2007). Peripheral mechanisms contributing to the glucocorticoid hypersensitivity in proopiomelanocortin null mice treated with corticosterone. Journal of Endocrinology. 194(1). 161–170. 21 indexed citations
13.
Bureik, Matthias, et al.. (2005). Inhibition of aldosterone biosynthesis by staurosporine. Biological Chemistry. 386(7). 663–669. 2 indexed citations
14.
Masuzaki, Hiroaki, Hiroshi Yamamoto, Christopher J. Kenyon, et al.. (2003). Transgenic amplification of glucocorticoid action in adipose tissue causes high blood pressure in mice. Journal of Clinical Investigation. 112(1). 83–90. 345 indexed citations
15.
16.
Livingstone, Dawn E. W., Gregory C. Jones, K. B. Smith, et al.. (2000). Understanding the Role of Glucocorticoids in Obesity: Tissue-Specific Alterations of Corticosterone Metabolism in Obese Zucker Rats1. Endocrinology. 141(2). 560–563. 296 indexed citations
17.
Kenyon, Christopher J., Ian Thomson, & Robert Fraser. (1999). Stimulation of aldosterone secretion by benzodiazepines in bovine adrenocortical cells. Fundamental and Clinical Pharmacology. 13(2). 213–219. 9 indexed citations
18.
19.
20.
Morton, James J., Christopher J. Kenyon, & Elisabeth Beattie. (1990). Hormone and electrolyte changes in post-deoxycorticosterone salt hypertension in rats. Journal of Hypertension. 8(11). 1021–1026. 12 indexed citations

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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