P. G. Guyenet

18 total papers · 1.5k total citations
15 papers, 1.0k citations indexed

About

P. G. Guyenet is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, P. G. Guyenet has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrine and Autonomic Systems, 7 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in P. G. Guyenet's work include Neuroscience of respiration and sleep (11 papers), Heart Rate Variability and Autonomic Control (5 papers) and Neuroendocrine regulation and behavior (3 papers). P. G. Guyenet is often cited by papers focused on Neuroscience of respiration and sleep (11 papers), Heart Rate Variability and Autonomic Control (5 papers) and Neuroendocrine regulation and behavior (3 papers). P. G. Guyenet collaborates with scholars based in United States and Lebanon. P. G. Guyenet's co-authors include Miao‐Kun Sun, Deborah Brown, Andrew M. Allen, Stephen B.G. Abbott, Melissa B. Coates, Ruth L. Stornetta, Roy Kanbar, Genrieta Bochorishvili, Alex J. Baertschi and J. Głowiński and has published in prestigious journals such as Journal of Neuroscience, Brain and The Journal of Physiology.

In The Last Decade

P. G. Guyenet

15 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
P. G. Guyenet	701	387	382	230	230	15	1.0k
P.G. Guertzenstein	641 0.9×	361 0.9×	484 1.3×	214 0.9×	159 0.7×	18	1.2k
Monica M. Caverson	723 1.0×	357 0.9×	294 0.8×	256 1.1×	213 0.9×	28	1.2k
Julio Fernandez‐Pardal	498 0.7×	373 1.0×	270 0.7×	233 1.0×	121 0.5×	14	953
Natasha N. Kumar	580 0.8×	282 0.7×	292 0.8×	137 0.6×	320 1.4×	34	1.2k
DH Park	497 0.7×	512 1.3×	224 0.6×	235 1.0×	127 0.6×	11	1.1k
Marc A. Nathan	393 0.6×	270 0.7×	308 0.8×	179 0.8×	170 0.7×	27	959
Alla Korsak	414 0.6×	373 1.0×	181 0.5×	253 1.1×	202 0.9×	24	1.2k
Naohito Terui	549 0.8×	154 0.4×	583 1.5×	289 1.3×	169 0.7×	40	1.0k
Donghai Huangfu	571 0.8×	175 0.5×	271 0.7×	119 0.5×	253 1.1×	17	859
P.D Potts	659 0.9×	148 0.4×	595 1.6×	164 0.7×	197 0.9×	13	1.1k

Countries citing papers authored by P. G. Guyenet

Since Specialization

Citations

This map shows the geographic impact of P. 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 P. 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 P. G. Guyenet more than expected).

Fields of papers citing papers by P. G. Guyenet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. G. Guyenet

This figure shows the co-authorship network connecting the top 25 collaborators of P. G. Guyenet. A scholar is included among the top collaborators of P. G. Guyenet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. G. Guyenet. P. G. Guyenet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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