Peter G. Stanton

5.5k citations
124 papers · 4.2k indexed · h-index 40

Peter G. Stanton

123 papers receiving 4.1k citations

Peers

Peter G. Stanton
Comparison fields: 5 of 122
  • Reproductive Medicine 2.5k
  • Public Health, Environmental and Occupational Health 1.4k
  • Endocrinology, Diabetes and Metabolism 750
  • Genetics 906
  • Molecular Biology 1.6k
Replace Will M. Lee with:
Will M. Lee Hong Kong
Carlos R. Morales Canada
Sarah J. Meachem Australia
Eugenia H. Goulding United States
Jannette M. Dufour United States
M.R. Sairam Canada
Anna Steinberger United States
Katherine F. Roby United States
D. Stewart Irvine United Kingdom
Rory A. Fisher United States
Peter G. Stanton relative to Will M. Lee Hong Kong Will M. Lee's profile →
Citations per field
00.5×2.6×
Will M. Lee · 1×
Citations per year

Countries citing papers authored by Peter G. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter G. Stanton. 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 Peter G. Stanton. The network helps show where Peter G. Stanton may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 20229
3 2016168
4 201342
5 201337
6 201250
7 2011265
8 200910
9 200733
10 2007127
11 200657
12 200639
13 200549
14 20054
15 20034
16 2002152
17 200114
18 199936
19 19977
20 199656

About Peter G. Stanton

Peter G. Stanton is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Molecular Biology and Immunology, having authored 124 papers that have together received 4.2k indexed citations. Recurring topics across this work include Sperm and Testicular Function (54 papers), Reproductive Biology and Fertility (28 papers), Hormonal and reproductive studies (14 papers), Sexual Differentiation and Disorders (12 papers), Hypothalamic control of reproductive hormones (12 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Ovarian function and disorders (9 papers). The work is most often cited by research in Reproductive Medicine (2.5k citations), Public Health, Environmental and Occupational Health (1.4k citations), Endocrinology, Diabetes and Metabolism (750 citations), Genetics (906 citations) and Molecular Biology (1.6k citations). Peter G. Stanton has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Liza O’Donnell, Robert I. McLachlan, David Robertson, Sarah J. Meachem, Peter K. Nicholls, Moira K. O’Bryan, Milton T. W. Hearn, Gerard A. Tarulli, Pavel Sluka and Craig A. Harrison. Their work appears in journals such as Endocrinology, Biology of Reproduction, Journal of Endocrinology, Molecular and Cellular Endocrinology and The Journal of Clinical Endocrinology & 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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