László Békési

615 citations
31 papers · 470 · h-index 15

Impact in

Papers in

László Békési

30 papers receiving 445 citations

Peers

László Békési
Comparison fields: 5 of 58
  • Parasitology 142
  • Animal Science and Zoology 134
  • Insect Science 107
  • Small Animals 64
  • Cancer Research 116
Replace Anne‐Gerd Gjevre with:
Anne‐Gerd Gjevre Norway
Bhen Sikina Toguebaye Senegal
Roberto Rasero Italy
JM Fregeneda-Grandes Spain
Kim Luton Australia
Indrajit Ganguly India
K. Anders Germany
Caroline Hervet France
Matthías Eydal Iceland
K. Odening Germany
László Békési relative to Anne‐Gerd Gjevre Norway Anne‐Gerd Gjevre's profile →
Citations per field
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Anne‐Gerd Gjevre · 1×
Citations per year

Countries citing papers authored by László Békési

Since Specialization
Citations

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

Fields of papers citing papers by László Békési

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199354
2 200952
3 198448
4 199529
5 199827
6 199927
7 199124
8 199419
9
Studies on the protozoan etiology of swim bladder inflammation in common carp fry
198216
10 200716
11 199816
12 198616
13 199515
14 199615
15
Attempts to analyse Anguillicola crassus infection and the humoral host response in eels (Anguilla anguilla) of Lake Balaton, Hungary.
199714
16 202213
17 199510
18 19859
19 19978
20 19968

About László Békési

László Békési is a scholar working on Animal Science and Zoology, Parasitology, Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 31 papers that have together received 470 indexed citations. Recurring topics across this work include Coccidia and coccidiosis research (10 papers), Parasitic Infections and Diagnostics (10 papers), Insect and Pesticide Research (8 papers), Insect and Arachnid Ecology and Behavior (7 papers), Veterinary medicine and infectious diseases (6 papers), Plant and animal studies (6 papers), Animal Virus Infections Studies (5 papers) and Aquaculture disease management and microbiota (5 papers). The work is most often cited by research in Parasitology (142 citations), Animal Science and Zoology (134 citations), Insect Science (107 citations), Small Animals (64 citations) and Cancer Research (116 citations). László Békési has collaborated with scholars based in Hungary, Netherlands and Spain. Frequent co-authors include Kálmán Molnár, Ivan Varga, T. Sréter, Miklós Rusvai, M. Dobos‐Kovács, G. Csaba, Csaba Székely, Sándor Hornok, Petra Forgách and Tamás Bakonyi. Their work appears in journals such as Journal of Parasitology, Parasitology Research, Journal of Fish Diseases, Bulletin of the European Association of Fish Pathologists and Scientific Reports.

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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