Gábor Pethö

58 papers receiving 1.9k citations

Peers

Gábor Pethö
Comparison fields: 5 of 108
  • Sensory Systems 598
  • Physiology 731
  • Cellular and Molecular Neuroscience 468
  • Complementary and alternative medicine 116
  • Endocrine and Autonomic Systems 94
Replace Jérôme Busserolles with:
Jérôme Busserolles France
Mirjam Eberhardt Germany
Yuji Kiuchi Japan
Rainer Amann Austria
Keith Bley United States
Katsuhiko Muraki Japan
Michael E. Kort United States
Thomas Christoph Germany
Delia Preti Italy
Uma Anand United Kingdom
Gábor Pethö relative to Jérôme Busserolles France Jérôme Busserolles's profile →
Citations per field
00.5×1.7×
Jérôme Busserolles · 1×
Citations per year

Countries citing papers authored by Gábor Pethö

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Pethö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012219
2 2005212
3 1994105
4 199293
5 199573
6 200367
7 198762
8 200656
9 200056
10 200454
11 200252
12 200150
13 200850
14 201945
15 200544
16 199642
17 200442
18 201937
19 200836
20 200435

About Gábor Pethö

Gábor Pethö is a scholar working on Physiology, Sensory Systems, Cellular and Molecular Neuroscience, Molecular Biology and Materials Chemistry, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (31 papers), Ion Channels and Receptors (22 papers), Neuropeptides and Animal Physiology (18 papers), Porphyrin and Phthalocyanine Chemistry (5 papers), Receptor Mechanisms and Signaling (5 papers), Olfactory and Sensory Function Studies (4 papers), Neuroscience of respiration and sleep (4 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Sensory Systems (598 citations), Physiology (731 citations), Cellular and Molecular Neuroscience (468 citations), Complementary and alternative medicine (116 citations) and Endocrine and Autonomic Systems (94 citations). Gábor Pethö has collaborated with scholars based in Hungary, Germany and Austria. Frequent co-authors include Peter W. Reeh, Janós Szolcsányi, Kata Bölcskei, Luigi G. Marzilli, Erika Pintér, Dabney W. Dixon, Róbert Almási, Zsuzsanna Helyes, Min Sook Kim and L. Barthó. Their work appears in journals such as European Journal of Pharmacology, Life Sciences, British Journal of Pharmacology, Neuropeptides and International Journal of Molecular 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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