David Ray

20.1k citations
272 papers · 12.3k indexed · 2 hit papers · h-index 61

David Ray

264 papers receiving 12.0k citations

Hit Papers

Molecular Actions of PPARα in Lipid Metabolism...6012011202620162021200400600

Peers

David Ray
Comparison fields: 5 of 185
  • Endocrine and Autonomic Systems 2.2k
  • Behavioral Neuroscience 841
  • Endocrinology, Diabetes and Metabolism 2.2k
  • Aging 216
  • Anesthesiology and Pain Medicine 660
Replace Louis J. Muglia with:
Louis J. Muglia United States
Frank H. de Jong Netherlands
James M. Roberts United States
Janet E. Hall United States
Louise D. McCullough United States
Gérard Waeber Switzerland
Hiroyuki Shimizu Japan
Peter J. Havel United States
Stephen R. Plymate United States
Harpal Randeva United Kingdom
David Ray relative to Louis J. Muglia United States Louis J. Muglia's profile →
Citations per field
00.5×10.8×
Louis J. Muglia · 1×
Citations per year

Countries citing papers authored by David Ray

Since Specialization
Citations

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

Fields of papers citing papers by David Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20252
4 20242
5 202415
6 20241
7 20235
8 202220
9 202237
10 20223
11 202223
12 202218
13 202039
14 202043
15 20182
16 2016226
17 2016201
18
The nuclear receptor REV-ERBα mediates circadian regulation of innate immunity through selective regulation of inflammatory cytokinesbreakdown →
2011527
19 200850
20
Impaired processing of pro-opiomelanocortin in invasive corticotroph adenomas.
19963

About David Ray

David Ray is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 272 papers that have together received 12.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (49 papers), Adrenal Hormones and Disorders (36 papers), Estrogen and related hormone effects (31 papers), Hormonal Regulation and Hypertension (28 papers), Asthma and respiratory diseases (23 papers), Pituitary Gland Disorders and Treatments (17 papers), Stress Responses and Cortisol (17 papers) and Cytokine Signaling Pathways and Interactions (17 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.2k citations), Behavioral Neuroscience (841 citations) and Endocrinology, Diabetes and Metabolism (2.2k citations). David Ray has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew Loudon, Шломо Мелмед, Julie Gibbs, Rachelle Donn, Laura Matthews, Stuart Farrow, Adam Stevens, Dermot W. McKeown, Ilias Perogamvros and Peter Trainer. Their work appears in journals such as Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, British Journal of Anaesthesia, Clinical Endocrinology and PLoS ONE.

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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