Robert Benoit

4.8k citations
79 papers · 4.3k · h-index 37

Impact in

Papers in

Robert Benoit

79 papers receiving 4.0k citations

Peers

Robert Benoit
Comparison fields: 5 of 156
  • Cellular and Molecular Neuroscience 2.0k
  • Behavioral Neuroscience 314
  • Endocrine and Autonomic Systems 507
  • Developmental Neuroscience 259
  • Endocrinology, Diabetes and Metabolism 667
Replace Csaba Leranth with:
Csaba Leranth United States
W. Lichtensteiger Switzerland
Michael E. Lewis United States
Sylvie Jégou France
E. Rosengren Sweden
Marie‐Christine Tonon France
James R. Brawer Canada
Jeffrey D. White United States
H. G. Baumgarten Germany
Margret Schlumpf Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Robert Benoit

Since Specialization
Citations

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

Fields of papers citing papers by Robert Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985244
2 1983229
3 1988214
4 1983205
5 1980189
6 1984160
7 1989152
8 1982150
9 1982140
10 1982137
11 1984129
12 1987112
13 1981109
14 199195
15 196888
16 199383
17 196872
18 198269
19 198768
20 198964

About Robert Benoit

Robert Benoit is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 79 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (19 papers), Neuropeptides and Animal Physiology (19 papers), Receptor Mechanisms and Signaling (15 papers), Glycosylation and Glycoproteins Research (11 papers), Chemical Synthesis and Analysis (9 papers), Stress Responses and Cortisol (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Behavioral Neuroscience (314 citations), Endocrine and Autonomic Systems (507 citations), Developmental Neuroscience (259 citations) and Endocrinology, Diabetes and Metabolism (667 citations). Robert Benoit has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Nicholas Ling, Roger Guillemin, Floyd E. Bloom, Frederick Esch, Peter Böhlen, John H. Morrison, Pierre J. Magistretti, Paul Brazeau, Robert L. Starkey and Toshio Kosaka. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications, Regulatory Peptides, Nature and Proceedings of the National Academy of Sciences.

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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