Peter G. Stanton

5.6k citations
128 papers · 4.7k · h-index 43

Impact in

Papers in

    • Sperm and Testicular Function 56
    • Hypothalamic control of reproductive hormones 13
    • Sexual Differentiation and Disorders 13
    • TGF-β signaling in diseases 9

Peter G. Stanton

127 papers receiving 4.6k citations

Peers

Peter G. Stanton
Comparison fields: 5 of 122
  • Reproductive Medicine 2.7k
  • Public Health, Environmental and Occupational Health 1.4k
  • Endocrinology, Diabetes and Metabolism 757
  • Genetics 1.0k
  • Molecular Biology 1.7k
Replace Barry T. Hinton with:
Barry T. Hinton United States
Will M. Lee Hong Kong
Gerhard F. Weinbauer Germany
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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-authors

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

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011295
2 2016181
3 2002168
4 2002149
5 2007130
6 2018123
7 2006117
8 201299
9 200996
10 200692
11 200083
12 199981
13 201179
14 200676
15 200873
16 200667
17 199667
18 199866
19 199265
20 201064

About Peter G. Stanton

Peter G. Stanton is a scholar working on Reproductive Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Genetics, having authored 128 papers that have together received 4.7k indexed citations. Recurring topics across this work include Sperm and Testicular Function (56 papers), Reproductive Biology and Fertility (29 papers), Hormonal and reproductive studies (13 papers), Sexual Differentiation and Disorders (13 papers), Hypothalamic control of reproductive hormones (13 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers), Growth Hormone and Insulin-like Growth Factors (11 papers) and TGF-β signaling in diseases (9 papers). The work is most often cited by research in Reproductive Medicine (2.7k citations), Public Health, Environmental and Occupational Health (1.4k citations), Endocrinology, Diabetes and Metabolism (757 citations), Genetics (1.0k citations) and Molecular Biology (1.7k citations). Peter G. Stanton has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Liza O’Donnell, Robert I. McLachlan, Sarah J. Meachem, David Robertson, 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, The Journal of Clinical Endocrinology & Metabolism and Molecular and Cellular Endocrinology.

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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