Peter Illéš

1.7k citations
54 papers · 1.5k · h-index 19

Impact in

Papers in

Peter Illéš

52 papers receiving 1.4k citations

Peers

Peter Illéš
Comparison fields: 5 of 114
  • Biological Psychiatry 91
  • Cellular and Molecular Neuroscience 348
  • Physiology 68
  • Molecular Biology 772
  • Neurology 90
Replace Akihito Yasuoka with:
Akihito Yasuoka Japan
Philippe Chan France
Miki Hiasa Japan
Ziying Wang China
Chunling Ma China
Genny Orso Italy
Barbara L.F. Kaplan United States
Brian Henry United Kingdom
Toshio Inui Japan
David Weinkove United Kingdom
Peter Illéš relative to Akihito Yasuoka Japan Akihito Yasuoka's profile →
Citations per field
00.5×2×3×4.1×
Akihito Yasuoka · 1×
Citations per year

Countries citing papers authored by Peter Illéš

Since Specialization
Citations

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

Fields of papers citing papers by Peter Illéš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022197
2 2005165
3 1977121
4 2022112
5 199298
6 201173
7 197261
8 202060
9 199047
10 198347
11 199046
12 201443
13
Electrophysiological examination of transmitter release in non-quantal form in the mouse diaphragm and the activity of membrane ATP-ase.
197838
14 201033
15 202227
16 202027
17 201524
18 201921
19 202219
20 199918

About Peter Illéš

Peter Illéš is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pharmacology and Health, Toxicology and Mutagenesis, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (11 papers), Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (5 papers), Plant Molecular Biology Research (4 papers), Pain Mechanisms and Treatments (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Toxic Organic Pollutants Impact (4 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Biological Psychiatry (91 citations), Cellular and Molecular Neuroscience (348 citations), Physiology (68 citations), Molecular Biology (772 citations) and Neurology (90 citations). Peter Illéš has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include F. Vyskočil, Wolfgang Nörenberg, Miroslav Ovečka, Zdeněk Dvořák, Ingeborg Lang, František Baluška, Irene Lichtscheidl, Ahmed Ismail, Klaus Starke and George Komis. Their work appears in journals such as Journal of Allergy and Clinical Immunology, European Journal of Pharmacology, Bioorganic Chemistry, PROTOPLASMA and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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