Philip May

637 citations
31 papers · 491 indexed · h-index 11
Topics
Growth Hormone and Insulin-like Growth Factors (10 papers)Pituitary Gland Disorders and Treatments (8 papers)Hypothalamic control of reproductive hormones (6 papers)

In The Last Decade

Philip May

28 papers receiving 460 citations

Peers

Philip May
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 151
  • Physiology 93
  • Cellular and Molecular Neuroscience 80
  • Molecular Biology 74
  • Reproductive Medicine 62
Replace Stephen W. Ponder with:
Stephen W. Ponder United States
I. Mastrogiacomo Italy
Joanna Oświęcimska Poland
L. Bianconi Italy
Sven Lyrenäs Sweden
Nikolaos D. Roupas Greece
W. A. Ratcliffe United Kingdom
Roberta Ricotti Italy
Maire T. Buckman United States
Philip May relative to Stephen W. Ponder United States Stephen W. Ponder's profile →
Citations per field
00.5×4.3×
Stephen W. Ponder · 1×
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-authorship network of co-authors of Philip May

This figure shows the co-authorship network connecting the top 25 collaborators of Philip May. A scholar is included among the top collaborators of Philip May 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 Philip May. Philip May 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
#WorkIndexed citations
1 0
2 1
3 1
4 3
5 0
6 63
7 52
8 0
9 1
10 11
11 12
12 39
13 6
14 8
15 31
16 26
17 14
18 3
19 111
20 10

About Philip May

Philip May is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Behavioral Neuroscience, having authored 31 papers that have together received 491 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Pituitary Gland Disorders and Treatments (8 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Behavioral Neuroscience (40 citations), Endocrinology, Diabetes and Metabolism (151 citations) and Reproductive Medicine (62 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, N.H. Ertel, Norman H. Ertel, Wendy E. Mouradian, Jerald L. Cohen, Chung S. Kim, J. C. Mittler and Steven Nissen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Nutrients.

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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