Philip May

638 citations
33 papers · 502 · h-index 11

Impact in

Papers in

Philip May

29 papers receiving 455 citations

Peers

Philip May
Comparison fields: 5 of 86
  • Behavioral Neuroscience 42
  • Endocrinology, Diabetes and Metabolism 158
  • Periodontics 29
  • Reproductive Medicine 47
  • Endocrine and Autonomic Systems 32
Replace Ali Cansu with:
Ali Cansu Türkiye
Stephen W. Ponder United States
Franziska Götz Germany
Lu Sun China
W. A. Ratcliffe United Kingdom
Joanna Oświęcimska Poland
S. Goldstein United States
Sven Lyrenäs Sweden
Robert D. Lovinger United States
Philip May relative to Ali Cansu Türkiye Ali Cansu's profile →
Citations per field
00.5×4.1×
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Citations per year

Countries citing papers authored by Philip May

Since Specialization
Citations

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

Fields of papers citing papers by Philip May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977123
2 200465
3 200353
4 201548
5 198238
6 197931
7 197314
8 199614
9 197914
10 198812
11 197310
12 19809
13 19739
14 19839
15 19798
16 19787
17 19806
18 19806
19 20085
20 19774

About Philip May

Philip May is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 33 papers that have together received 502 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Pituitary Gland Disorders and Treatments (8 papers), Hypothalamic control of reproductive hormones (6 papers), Thyroid Disorders and Treatments (5 papers), Down syndrome and intellectual disability research (3 papers), Adrenal Hormones and Disorders (2 papers), Myasthenia Gravis and Thymoma (2 papers) and Dental Health and Care Utilization (2 papers). The work is most often cited by research in Behavioral Neuroscience (42 citations), Endocrinology, Diabetes and Metabolism (158 citations), Periodontics (29 citations), Reproductive Medicine (47 citations) and Endocrine and Autonomic Systems (32 citations). Philip May has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include R. K. Donabedian, Stephen W. Spaulding, G N Burrow, Norman H. Ertel, N.H. Ertel, Wendy E. Mouradian, Chung S. Kim, Jerald L. Cohen, Steven Nissen and Jens Mittler. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinica Chimica Acta, Hormone and Metabolic Research, Journal of Neuropsychiatry and Metabolism.

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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