Guy Simonnet

6.0k citations
109 papers · 4.8k indexed · h-index 38

Impact in

Papers in

Guy Simonnet

104 papers receiving 4.6k citations

Peers

Guy Simonnet
Comparison fields: 5 of 125
  • Anesthesiology and Pain Medicine 1.0k
  • Cellular and Molecular Neuroscience 2.4k
  • Physiology 2.3k
  • Reproductive Medicine 514
  • Behavioral Neuroscience 181
Replace Samir Atweh with:
Samir Atweh Lebanon
Tim G. Hales United Kingdom
Albert Herz Germany
Jennifer M.A. Laird Spain
Juha‐Matti Savola Finland
James L. Henry Canada
Alan R. Gintzler United States
Patrizia Romualdi Italy
Susan Ingram United States
Lars Terenius Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Guy Simonnet

Since Specialization
Citations

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

Fields of papers citing papers by Guy Simonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000423
2 2001249
3 2002240
4 2003211
5 2006190
6 1999156
7 1998155
8 1989153
9 2002146
10 1999141
11 2002140
12 1998133
13 2007111
14 1992106
15 199098
16 200597
17 200285
18 199280
19 199180
20 200578

About Guy Simonnet

Guy Simonnet is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Surgery and Pharmacology, having authored 109 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (58 papers), Pain Mechanisms and Treatments (43 papers), Receptor Mechanisms and Signaling (35 papers), Neuroscience and Neuropharmacology Research (18 papers), Anesthesia and Pain Management (13 papers), Hypothalamic control of reproductive hormones (9 papers), Ion channel regulation and function (9 papers) and Renin-Angiotensin System Studies (7 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (1.0k citations), Cellular and Molecular Neuroscience (2.4k citations), Physiology (2.3k citations), Reproductive Medicine (514 citations) and Behavioral Neuroscience (181 citations). Guy Simonnet has collaborated with scholars based in France, United States and Belize. Frequent co-authors include Jean‐Paul Laulin, Cyril Rivat, Evelyne Célèrier, Michel Le Moal, A. Larcher, Michèle Allard, Jean‐Benoît Corcuff, Emilie Laboureyras, P. Maurette and Philippe Richebé. Their work appears in journals such as Brain Research, Neuroscience, Regulatory Peptides, Anesthesiology and Peptides.

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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