Jeffrey S. Davies

5.8k total citations
71 papers, 2.5k citations indexed

About

Jeffrey S. Davies is a scholar working on Endocrine and Autonomic Systems, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jeffrey S. Davies has authored 71 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Endocrine and Autonomic Systems, 31 papers in Physiology and 20 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jeffrey S. Davies's work include Regulation of Appetite and Obesity (29 papers), Adipose Tissue and Metabolism (20 papers) and Growth Hormone and Insulin-like Growth Factors (15 papers). Jeffrey S. Davies is often cited by papers focused on Regulation of Appetite and Obesity (29 papers), Adipose Tissue and Metabolism (20 papers) and Growth Hormone and Insulin-like Growth Factors (15 papers). Jeffrey S. Davies collaborates with scholars based in United Kingdom, Australia and United States. Jeffrey S. Davies's co-authors include M. F. Scanlon, J. C. Smith, Timothy Wells, Aled Rees, Zane B. Andrews, Marc Evans, John Cockcroft, R. G. Mills, J. Vafidis and Howard Kynaston and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Jeffrey S. Davies

70 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey S. Davies United Kingdom 26 957 715 693 440 436 71 2.5k
Tetsuya Shiuchi Japan 31 637 0.7× 987 1.4× 783 1.1× 1.1k 2.5× 295 0.7× 58 3.2k
Benjamin Challis United Kingdom 23 367 0.4× 654 0.9× 1.1k 1.6× 428 1.0× 709 1.6× 57 2.2k
Naoko Yamauchi Japan 28 534 0.6× 446 0.6× 369 0.5× 812 1.8× 106 0.2× 60 2.7k
Lisa Hahner United States 21 641 0.7× 648 0.9× 359 0.5× 1.1k 2.5× 130 0.3× 24 3.0k
Olivier Bonny Switzerland 32 364 0.4× 441 0.6× 566 0.8× 1.2k 2.6× 354 0.8× 101 3.0k
Anita M. Hennige Germany 36 1.0k 1.1× 1.3k 1.8× 625 0.9× 1.4k 3.1× 342 0.8× 78 3.8k
Anna M.D. Watson Australia 26 419 0.4× 416 0.6× 459 0.7× 719 1.6× 199 0.5× 48 2.5k
Bart C. De Jonghe United States 28 778 0.8× 910 1.3× 1.0k 1.5× 595 1.4× 414 0.9× 56 2.5k
Ralph Jacob United States 25 638 0.7× 670 0.9× 308 0.4× 630 1.4× 266 0.6× 43 2.3k
Petter Hedlund Sweden 39 1.2k 1.2× 531 0.7× 419 0.6× 649 1.5× 63 0.1× 160 4.4k

Countries citing papers authored by Jeffrey S. Davies

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey S. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey S. Davies. 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 Jeffrey S. Davies. The network helps show where Jeffrey S. Davies may publish in the future.

Co-authorship network of co-authors of Jeffrey S. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Davies. A scholar is included among the top collaborators of Jeffrey S. Davies 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 Jeffrey S. Davies. Jeffrey S. Davies 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.
Brown, Richard C. D., Thomas W Tilston, Harry Smith, et al.. (2025). Meal-feeding promotes skeletal growth by ghrelin-dependent enhancement of growth hormone rhythmicity. Journal of Clinical Investigation. 135(12).
2.
Siervo, Mario, Emily Calton, Anthony P. James, et al.. (2024). Metabolic biomarkers of appetite control in Parkinson's disease patients with and without cognitive impairment. Clinical Nutrition ESPEN. 64. 425–434. 2 indexed citations
3.
Good, Mark, et al.. (2023). The 5:2 diet does not increase adult hippocampal neurogenesis or enhance spatial memory in mice. EMBO Reports. 24(12). e57269–e57269. 4 indexed citations
4.
Reichelt, Amy C., et al.. (2022). Metabolic hormones mediate cognition. Frontiers in Neuroendocrinology. 66. 101009–101009. 15 indexed citations
5.
Rees, Daniel, Mariah J. Lelos, Gaynor A. Smith, et al.. (2022). Acyl-Ghrelin Attenuates Neurochemical and Motor Deficits in the 6-OHDA Model of Parkinson’s Disease. Cellular and Molecular Neurobiology. 43(5). 2377–2384. 5 indexed citations
6.
Angelini, Roberto, et al.. (2022). Acylation, a Conductor of Ghrelin Function in Brain Health and Disease. Frontiers in Physiology. 13. 831641–831641. 8 indexed citations
7.
8.
Rees, Daniel, Brianne A. Kent, Timothy J. Bussey, et al.. (2019). Calorie restriction activates new adult born olfactory‐bulb neurones in a ghrelin‐dependent manner but acyl‐ghrelin does not enhance subventricular zone neurogenesis. Journal of Neuroendocrinology. 31(7). e12755–e12755. 14 indexed citations
9.
Morgan, Alwena H., et al.. (2019). Ghrelin-Mediated Hippocampal Neurogenesis: Implications for Health and Disease. Trends in Endocrinology and Metabolism. 30(11). 844–859. 40 indexed citations
10.
11.
Bayliss, Jacqueline, Moyra B. Lemus, Romana Stark, et al.. (2016). Ghrelin-AMPK Signaling Mediates the Neuroprotective Effects of Calorie Restriction in Parkinson's Disease. Journal of Neuroscience. 36(10). 3049–3063. 129 indexed citations
12.
Kent, Brianne A., et al.. (2014). The orexigenic hormone acyl-ghrelin increases adult hippocampal neurogenesis and enhances pattern separation. Psychoneuroendocrinology. 51. 431–439. 65 indexed citations
13.
Wells, Timothy, Jennifer R. Davies, Irina A. Guschina, et al.. (2012). Opa3, a novel regulator of mitochondrial function, controls thermogenesis and abdominal fat mass in a mouse model for Costeff syndrome. Human Molecular Genetics. 21(22). 4836–4844. 23 indexed citations
14.
Thornton, Catherine A., et al.. (2011). Inflammation, Obesity, and Neuromodulation in Pregnancy and Fetal Development. 1(2). 193–203. 2 indexed citations
15.
Clarke, David, et al.. (2010). Interprofessional education in Wales: Case studies in health and social care. ORCA Online Research @Cardiff (Cardiff University). 2 indexed citations
16.
Davies, Jeffrey S.. (2010). The glycinergic system in human startle disease: a genetic screening approach. Frontiers in Molecular Neuroscience. 3. 8–8. 49 indexed citations
17.
Davies, Jeffrey S., Sinan R. Eccles, Paweł Tokarczuk, et al.. (2009). Ghrelin Induces Abdominal Obesity via GHS-R-Dependent Lipid Retention. The Journal of Clinical Endocrinology & Metabolism. 94(5). 1838–1838. 4 indexed citations
18.
Davies, Jeffrey S., et al.. (2005). Identification of Two Further Splice Variants of <I>GABABR1</I> Characterizes the Conserved Micro-Exon 4 as a Hot Spot for Regulated Splicing in the Rat Brain. Journal of Molecular Neuroscience. 26(1). 99–108. 12 indexed citations
19.
Rees, Aled, Neil M Davies, Rosalind M. John, et al.. (2003). Transsphenoidal Surgery for Acromegaly in Wales: Results Based on Stringent Criteria of Remission. The Journal of Clinical Endocrinology & Metabolism. 88(8). 3567–3572. 111 indexed citations
20.
John, R, et al.. (2001). McCune-Albright Syndrome: Growth Hormone Dynamics in Pregnancy. The Journal of Clinical Endocrinology & Metabolism. 86(6). 2456–2458. 25 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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