László Kovács

38 papers receiving 946 citations

Peers

László Kovács
Comparison fields: 5 of 109
  • Sensory Systems 129
  • Cellular and Molecular Neuroscience 224
  • Cardiology and Cardiovascular Medicine 209
  • Physiology 41
  • Molecular Biology 531
Replace Toshiyuki Kanemasa with:
Toshiyuki Kanemasa Japan
Klára Gyires Hungary
Federica Pessina Italy
Kyung Hoon Min South Korea
Norbert Szentandrássy Hungary
W. A. Fogel Poland
Robert N. DeHaven United States
Horst Lemoine Germany
Pravin Raval United Kingdom
László Kovács relative to Toshiyuki Kanemasa Japan Toshiyuki Kanemasa's profile →
Citations per field
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Toshiyuki Kanemasa · 1×
Citations per year

Countries citing papers authored by László Kovács

Since Specialization
Citations

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

Fields of papers citing papers by László Kovács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001129
2 1979124
3 2005109
4 201186
5 200975
6 200150
7 200847
8 199134
9 200331
10 200427
11 200327
12 199824
13 200622
14 200321
15 200419
16 195319
17 200118
18 200215
19 200515
20 200813

About László Kovács

László Kovács is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Organic Chemistry and Aquatic Science, having authored 41 papers that have together received 985 indexed citations. Recurring topics across this work include Ion channel regulation and function (13 papers), Cardiac electrophysiology and arrhythmias (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Neuroscience and Neural Engineering (6 papers), Ion Channels and Receptors (5 papers), Fish Ecology and Management Studies (3 papers), Aquaculture Nutrition and Growth (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Sensory Systems (129 citations), Cellular and Molecular Neuroscience (224 citations), Cardiology and Cardiovascular Medicine (209 citations), Physiology (41 citations) and Molecular Biology (531 citations). László Kovács has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Tamás Bı́ró, Martin F. Schneider, Eduardo Rı́os, Balázs István Tóth, László Csernoch, Erzsébet Ősz, Gabriella Czifra, Zoltán Györgydeák, János Magyar and Péter P. Nánási. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Experimental Dermatology, The Journal of General Physiology, Carbohydrate Research and Life 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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