László Köles

1.3k citations
47 papers · 1.1k · h-index 19

Impact in

Papers in

László Köles

46 papers receiving 1.1k citations

Peers

László Köles
Comparison fields: 5 of 88
  • Physiology 571
  • Endocrine and Autonomic Systems 205
  • Biological Psychiatry 63
  • Cellular and Molecular Neuroscience 453
  • Neurology 149
Replace Zoltán Gerevich with:
Zoltán Gerevich Germany
Joan A. Sim United Kingdom
Wolfgang Poelchen Germany
Edward C. Burgard United States
Kim L. Powell Australia
César Quiroz United States
Hélène Hirbec France
Maria Torvinen Sweden
Rosa Luisa Potenza Italy
Serena Latini Italy
László Köles relative to Zoltán Gerevich Germany Zoltán Gerevich's profile →
Citations per field
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Zoltán Gerevich · 1×
Citations per year

Countries citing papers authored by László Köles

Since Specialization
Citations

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

Fields of papers citing papers by László Köles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199991
2 200475
3 200066
4 200759
5 201158
6 201356
7 201552
8 200349
9 200646
10 200745
11 201642
12 200242
13 200540
14 200735
15 201935
16 200535
17 200431
18 200131
19 201021
20
Integration of neuronal and glial signalling by pyramidal cells of the rat prefrontal cortex; control of cognitive functions and addictive behaviour by purinergic mechanisms.
201318

About László Köles

László Köles is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Sensory Systems and Endocrine and Autonomic Systems, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (21 papers), Neuroscience and Neuropharmacology Research (18 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers), Ion channel regulation and function (7 papers), Ion Channels and Receptors (6 papers), Neuroscience of respiration and sleep (6 papers), Receptor Mechanisms and Signaling (4 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Physiology (571 citations), Endocrine and Autonomic Systems (205 citations), Biological Psychiatry (63 citations), Cellular and Molecular Neuroscience (453 citations) and Neurology (149 citations). László Köles has collaborated with scholars based in Hungary, Germany and Canada. Frequent co-authors include Péter Illés, Kerstin Wirkner, Susanna Fürst, Zoltán Gerevich, Zoltán Zádori, Wolfgang Nörenberg, Tibor Zelles, Patrizia Rubini, Thomas Krause and Heike Franke. Their work appears in journals such as International Journal of Molecular Sciences, Neuropharmacology, Biomedicines, Neurochemical Research and International Journal of Oral and Maxillofacial Surgery.

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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