Steve W. Sutton

31 papers receiving 2.5k citations

Peers

Steve W. Sutton
Comparison fields: 5 of 87
  • Behavioral Neuroscience 1.7k
  • Biological Psychiatry 315
  • Endocrinology, Diabetes and Metabolism 672
  • Endocrine and Autonomic Systems 240
  • Social Psychology 750
Replace Vladimir K. Patchev with:
Vladimir K. Patchev Germany
Gayle Yamamoto United States
József Gulyás United States
Philip W. Gold United States
Koichi S. Kunitake United States
Jakob Hartmann Germany
Shinya Makino Japan
Abdeslam Mouihate Canada
S. KALEEM QUADRI United States
Fraser Aird United States
Steve W. Sutton relative to Vladimir K. Patchev Germany Vladimir K. Patchev's profile →
Citations per field
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Vladimir K. Patchev · 1×
Citations per year

Countries citing papers authored by Steve W. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Steve W. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve W. Sutton. 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 Steve W. Sutton. The network helps show where Steve W. Sutton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994456
2 1996347
3 1987258
4 1995215
5 1989165
6 1995121
7 2015108
8 1987108
9 1993101
10 199888
11 198681
12 199664
13 200952
14 199151
15 198948
16 199640
17 198839
18 199938
19 200937
20 200934

About Steve W. Sutton

Steve W. Sutton is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 31 papers that have together received 2.6k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (19 papers), Neuroendocrine regulation and behavior (8 papers), Hormonal Regulation and Hypertension (7 papers), Adrenal Hormones and Disorders (6 papers), Hypothalamic control of reproductive hormones (5 papers), Neuropeptides and Animal Physiology (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Pregnancy-related medical research (4 papers). The work is most often cited by research in Behavioral Neuroscience (1.7k citations), Biological Psychiatry (315 citations), Endocrinology, Diabetes and Metabolism (672 citations), Endocrine and Autonomic Systems (240 citations) and Social Psychology (750 citations). Steve W. Sutton has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Wylie Vale, Marilyn H. Perrin, Paul M. Plotsky, Felice Petraglia, Cynthia J. Donaldson, Kathleen Anne Lewis, Paul E. Sawchenko, Ellen Potter, ANNE Z. CORRIGAN and Renjie Chen. Their work appears in journals such as Endocrinology, Annals of the New York Academy of Sciences, Proceedings of the National Academy of Sciences, Journal of Molecular Endocrinology and Journal of Neuroendocrinology.

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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