R. Bhanot

511 citations
14 papers · 429 indexed · h-index 10

Impact in

Papers in

R. Bhanot

14 papers receiving 414 citations

Peers

R. Bhanot
Comparison fields: 5 of 50
  • Behavioral Neuroscience 106
  • Reproductive Medicine 226
  • Endocrine and Autonomic Systems 80
  • Cellular and Molecular Neuroscience 168
  • Endocrinology, Diabetes and Metabolism 117
Replace F. Przekop with:
F. Przekop Poland
A. N. Bhattacharya United States
S. Mansfield Slovakia
Christopher A. Leadem United States
L. Caligaris Argentina
E. Hefco United States
Perry M. Gliessman United States
D. Van Vugt Canada
Oneida M. Cramer United States
J. J. Astrada Argentina
R. Bhanot relative to F. Przekop Poland F. Przekop's profile →
Citations per field
00.5×2.8×
F. Przekop · 1×
Citations per year

Countries citing papers authored by R. Bhanot

Since Specialization
Citations

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

Fields of papers citing papers by R. Bhanot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Bhanot. 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 R. Bhanot. The network helps show where R. Bhanot may publish in the future.

Co-authors

The 7 scholars most cited alongside R. Bhanot, 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 R. Bhanot Line = papers co-authored together R. Bhanot links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 19853
2 198417
3 198419
4 198477
5 19843
6 198316
7 19839
8 198394
9 198334
10 1983112
11 19826
12 198226
13 19824
14 19829

About R. Bhanot

R. Bhanot is a scholar working on Reproductive Medicine, Behavioral Neuroscience, Social Psychology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 14 papers that have together received 429 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (10 papers), Neuroendocrine regulation and behavior (7 papers), Neuropeptides and Animal Physiology (6 papers), Ovarian function and disorders (5 papers), Stress Responses and Cortisol (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Behavioral Neuroscience (106 citations), Reproductive Medicine (226 citations), Endocrine and Autonomic Systems (80 citations), Cellular and Molecular Neuroscience (168 citations) and Endocrinology, Diabetes and Metabolism (117 citations). R. Bhanot has collaborated with scholars based in Canada and Russia. Frequent co-authors include Michael Wilkinson, James R. Brawer, Diane A. Wilkinson, Gail A. Eskes, Robert F. Casper, William H. Moger and Mark C. Wilkinson. Their work appears in journals such as Journal of Endocrinology, Endocrinology, Biology of Reproduction, International Journal of Developmental Neuroscience and Experimental Brain 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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