László Kovács

56 papers receiving 478 citations

Peers

László Kovács
Comparison fields: 5 of 85
  • Behavioral Neuroscience 67
  • Biological Psychiatry 29
  • Cellular and Molecular Neuroscience 118
  • Endocrine and Autonomic Systems 27
  • Agronomy and Crop Science 43
Replace Н. В. Кост with:
Н. В. Кост Russia
Ono H Japan
Nunziatina Burrello Italy
Cristina de Oliveira Massoco Brazil
David Willoughby United States
Claudia S. Caligioni United States
Elena Terenina France
Michael S. Anderson United States
Catherine E. Hagan United States
Candace L. Davis United States
László Kovács relative to Н. В. Кост Russia Н. В. Кост's profile →
Citations per field
00.5×3.6×
Н. В. Кост · 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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200739
2 201639
3 201735
4
The angiotensin converting enzyme I/D polymorphism in long distance runners.
200634
5 201729
6 201628
7 201824
8 202222
9 202420
10 202318
11 201916
12 198816
13 202312
14 201911
15 202210
16 202210
17 201910
18 20238
19 20228
20 20248

About László Kovács

László Kovács is a scholar working on Molecular Biology, Infectious Diseases, Social Psychology, Agronomy and Crop Science and Behavioral Neuroscience, having authored 65 papers that have together received 485 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (8 papers), Animal Disease Management and Epidemiology (8 papers), Stress Responses and Cortisol (7 papers), Neuropeptides and Animal Physiology (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Antibiotic Resistance in Bacteria (5 papers), Microbial infections and disease research (5 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Behavioral Neuroscience (67 citations), Biological Psychiatry (29 citations), Cellular and Molecular Neuroscience (118 citations), Endocrine and Autonomic Systems (27 citations) and Agronomy and Crop Science (43 citations). László Kovács has collaborated with scholars based in Hungary, Slovakia and United States. Frequent co-authors include Balázs Gaszner, Valér Csernus, Dóra Reglődi, B. Ujvári, Viktória Kormos, József Farkas, Hitoshi Hashimoto, Nóra Füredi, Andreas Körner and Bea Pászthy. Their work appears in journals such as Antibiotics, International Journal of Molecular Sciences, Frontiers in Aging Neuroscience, Preventive Veterinary Medicine and Animals.

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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