Patrice G. Guyenet

21.4k citations
200 papers · 17.4k indexed · 2 hit papers · h-index 77

Patrice G. Guyenet

198 papers receiving 17.1k citations

Hit Papers

Wild-type microglia arrest pathology in a mouse model of ...48320062026201220194008001.2k

Peers

Patrice G. Guyenet
Comparison fields: 5 of 144
  • Endocrine and Autonomic Systems 10.9k
  • Cognitive Neuroscience 5.4k
  • Cellular and Molecular Neuroscience 4.6k
  • Cardiology and Cardiovascular Medicine 4.7k
  • Social Psychology 4.2k
Replace Ruth L. Stornetta with:
Ruth L. Stornetta United States
Donald J. Reis United States
K. Michael Spyer United Kingdom
R.A.L. Dampney Australia
Robin M. McAllen Australia
Andries Kalsbeek Netherlands
Diethelm W. Richter Germany
David A. Ruggiero United States
George B. Richerson United States
Virginia M. Pickel United States
Patrice G. Guyenet relative to Ruth L. Stornetta United States Ruth L. Stornetta's profile →
Citations per field
00.5×1.5×2.1×
Ruth L. Stornetta · 1×
Citations per year

Countries citing papers authored by Patrice G. Guyenet

Since Specialization
Citations

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

Fields of papers citing papers by Patrice G. Guyenet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202058
2 2019129
3 201738
4 201665
5 201526
6 2015180
7 2014229
8 201077
9 2008131
10 20081
11 2007125
12 2007118
13 200730
14 2006300
15 2006271
16 2006114
17 200595
18 200143
19 199172
20 1989140

About Patrice G. Guyenet

Patrice G. Guyenet is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 200 papers that have together received 17.4k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (147 papers), Neuroendocrine regulation and behavior (71 papers), Sleep and Wakefulness Research (64 papers), Heart Rate Variability and Autonomic Control (45 papers), Neuroscience and Neuropharmacology Research (31 papers), Neuropeptides and Animal Physiology (27 papers), Receptor Mechanisms and Signaling (21 papers) and Neurotransmitter Receptor Influence on Behavior (15 papers). The work is most often cited by research in Endocrine and Autonomic Systems (10.9k citations), Cognitive Neuroscience (5.4k citations) and Cellular and Molecular Neuroscience (4.6k citations). Patrice G. Guyenet has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Ruth L. Stornetta, Douglas A. Bayliss, Ann M. Schreihofer, George K. Aghajanian, Stephen B.G. Abbott, Naohiro Koshiya, Diane L. Rosin, Daniel K. Mulkey, Miao‐Kun Sun and James R. Haselton. Their work appears in journals such as Nature, Science 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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