László Csernoch

4.7k citations
200 papers · 3.8k indexed · h-index 35

Impact in

Papers in

    • Ion channel regulation and function 72
    • Muscle Physiology and Disorders 22
    • Neuroscience and Neural Engineering 27
    • Neuroscience and Neuropharmacology Research 18
    • Neurobiology and Insect Physiology Research 15

László Csernoch

194 papers receiving 3.8k citations

Peers

László Csernoch
Comparison fields: 5 of 142
  • Physiology 334
  • Sensory Systems 306
  • Cellular and Molecular Neuroscience 1.1k
  • Molecular Biology 2.4k
  • Cardiology and Cardiovascular Medicine 629
Replace Sujay Singh with:
Sujay Singh United States
Oľga Križanová Slovakia
Tamás Bı́ró Hungary
Antonio Ferrer‐Montiel Spain
Sung Joong Lee South Korea
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Citations per field
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Citations per year

Countries citing papers authored by László Csernoch

Since Specialization
Citations

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

Fields of papers citing papers by László Csernoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 2005138
3 2020133
4 199190
5 200175
6 199173
7 200872
8 200971
9 200768
10 201359
11 199157
12 201357
13 200755
14 199752
15 201952
16 200350
17 199350
18 199848
19 200847
20 200343

About László Csernoch

László Csernoch is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Physiology, having authored 200 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (72 papers), Neuroscience and Neural Engineering (27 papers), Muscle Physiology and Disorders (22 papers), Cardiac electrophysiology and arrhythmias (21 papers), Neuroscience and Neuropharmacology Research (18 papers), Adenosine and Purinergic Signaling (16 papers), Neurobiology and Insect Physiology Research (15 papers) and Ion Channels and Receptors (14 papers). The work is most often cited by research in Physiology (334 citations), Sensory Systems (306 citations), Cellular and Molecular Neuroscience (1.1k citations), Molecular Biology (2.4k citations) and Cardiology and Cardiovascular Medicine (629 citations). László Csernoch has collaborated with scholars based in Hungary, France and United States. Frequent co-authors include Péter Szentesi, Vincent Jacquemond, B. Dienes, János Fodor, Mónika Gönczi, István Pócsi, László Kovács, Tamás Deli, Tamás Oláh and Henrietta Cserné Szappanos. Their work appears in journals such as Biophysical Journal, Journal of Muscle Research and Cell Motility, The Journal of Physiology, Pflügers Archiv - European Journal of Physiology and The Journal of General Physiology.

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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