Ray Edwards

1.5k citations
58 papers · 1.1k · h-index 18

Impact in

Papers in

Ray Edwards

54 papers receiving 984 citations

Peers

Ray Edwards
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 363
  • Endocrine and Autonomic Systems 84
  • Behavioral Neuroscience 36
  • Genetics 256
  • Critical Care and Intensive Care Medicine 40
Replace H. G. Dörr with:
H. G. Dörr Germany
Elizabeth B. Rappaport United States
E. R. Ramey United States
Charles F. Cobb United States
E. Englert United States
Jesse Roth United States
T. Russell Fraser United Kingdom
C. W. H. Havard United Kingdom
Domenic G. Iezzoni United States
M. Di Mauro Italy
Ray Edwards relative to H. G. Dörr Germany H. G. Dörr's profile →
Citations per field
00.5×3.7×
H. G. Dörr · 1×
Citations per year

Countries citing papers authored by Ray Edwards

Since Specialization
Citations

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

Fields of papers citing papers by Ray Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007170
2 2004152
3 200494
4 200756
5 198047
6 197042
7 199436
8 196534
9 196432
10 199631
11 196328
12 198926
13 200926
14 199426
15 199225
16 198924
17 199520
18 200420
19 198015
20 195415

About Ray Edwards

Ray Edwards is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Endocrine and Autonomic Systems, Genetics and Surgery, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Analytical Chemistry and Chromatography (5 papers), Circadian rhythm and melatonin (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (363 citations), Endocrine and Autonomic Systems (84 citations), Behavioral Neuroscience (36 citations), Genetics (256 citations) and Critical Care and Intensive Care Medicine (40 citations). Ray Edwards has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Ashley Grossman, Mirjam Christ‐Crain, Ian R. Sanderson, Cecilia Camacho‐Hübner, Martin O. Savage, Nicholas M. Croft, Beat P. Müller‐Stich, Roland Bingisser, Daiana Stolz and Michael Tamm. Their work appears in journals such as Journal of Endocrinology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Clinical Endocrinology, Journal of Chromatography A and Archives of Disease in Childhood.

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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