Steven G. Kohama

3.3k citations
85 papers · 2.6k indexed · h-index 28

Steven G. Kohama

80 papers receiving 2.5k citations

Peers

Steven G. Kohama
Comparison fields: 5 of 124
  • Behavioral Neuroscience 439
  • Reproductive Medicine 442
  • Neurology 376
  • Developmental Neuroscience 170
  • Endocrine and Autonomic Systems 247
Replace Fred W. van Leeuwen with:
Fred W. van Leeuwen Netherlands
Alison E. Mungenast United States
Elizabeth M. Waters United States
Norihito Shintani Japan
Roberto Maggi Italy
Setsuji Hisano Japan
Koh Shinoda Japan
Haruo Nogami Japan
Ted B. Usdin United States
Zsolt Csaba France
Steven G. Kohama relative to Fred W. van Leeuwen Netherlands Fred W. van Leeuwen's profile →
Citations per field
00.5×2.6×
Fred W. van Leeuwen · 1×
Citations per year

Countries citing papers authored by Steven G. Kohama

Since Specialization
Citations

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

Fields of papers citing papers by Steven G. Kohama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20244
5 20243
6 202214
7 20219
8 20189
9 201717
10 20164
11 201319
12 20127
13 201120
14
Differential effects of oestrogen on hypothalamic GnRH-I and GnRH-II gene expression in female rhesus macaques
20101
15 201045
16 200913
17 200945
18 2008188
19 200053
20 199722

About Steven G. Kohama

Steven G. Kohama is a scholar working on Behavioral Neuroscience, Aging and Reproductive Medicine, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (21 papers), Hypothalamic control of reproductive hormones (16 papers), Neuroscience and Neuropharmacology Research (14 papers), Estrogen and related hormone effects (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Menopause: Health Impacts and Treatments (9 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Hormonal and reproductive studies (7 papers). The work is most often cited by research in Behavioral Neuroscience (439 citations), Reproductive Medicine (442 citations) and Neurology (376 citations). Steven G. Kohama has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Henryk F. Urbanski, Mary F. Kritzer, Vasilios T. Garyfallou, Cynthia L. Bethea, Larry S. Sherman, Christopher D. Kroenke, Mary P. Stenzel‐Poore, Melanie Pecins-Thompson, Thomas H. McNeill and Nancy Brown. Their work appears in journals such as Neurobiology of Aging, Brain Research, Biology of Reproduction, Frontiers in Aging Neuroscience and Translational Stroke Research.

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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