Tamás Berke

1.8k citations
29 papers · 1.3k indexed · h-index 18

Impact in

Papers in

Tamás Berke

29 papers receiving 1.3k citations

Peers

Tamás Berke
Comparison fields: 5 of 59
  • Infectious Diseases 1.2k
  • Animal Science and Zoology 656
  • Hepatology 268
  • Cardiology and Cardiovascular Medicine 485
  • Genetics 255
Replace K. Y. Green with:
K. Y. Green United States
Hazel Appleton United Kingdom
Leslie Barclay United States
Nicole Gregoricus United States
Barbara Di Martino Italy
D. Mitchell United States
Verónica Costantini United States
Menira Souza Brazil
Preeti Chhabra United States
Shigeyuki Kojima Japan
Tamás Berke relative to K. Y. Green United States K. Y. Green's profile →
Citations per field
00.5×1.5×1.8×
K. Y. Green · 1×
Citations per year

Countries citing papers authored by Tamás Berke

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Berke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201212
2 20093
3 200534
4 200479
5 200428
6 200329
7 200316
8
[Sapporo-like viruses in sporadic gastroenteritis of unknown origin].
20023
9 2002102
10 200215
11 200225
12 200176
13 200135
14 200129
15 2000384
16 199948
17 199846
18 199831
19 199782
20 199619

About Tamás Berke

Tamás Berke is a scholar working on Infectious Diseases, Hepatology, Animal Science and Zoology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (28 papers), Viral Infections and Immunology Research (12 papers), Hepatitis Viruses Studies and Epidemiology (12 papers), Animal Virus Infections Studies (11 papers), Respiratory viral infections research (4 papers), Animal Disease Management and Epidemiology (2 papers), Pediatric health and respiratory diseases (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Infectious Diseases (1.2k citations), Animal Science and Zoology (656 citations), Hepatology (268 citations), Cardiology and Cardiovascular Medicine (485 citations) and Genetics (255 citations). Tamás Berke has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include David O. Matson, Xi Jiang, Larry K. Pickering, Shuji Nakata, K. Y. Green, Mary K. Estes, Tamie Ando, Michael J. Studdert, John D. Neill and Ian N. Clarke. Their work appears in journals such as Journal of Medical Virology, Archives of Virology, The Journal of Infectious Diseases, The Pediatric Infectious Disease Journal and Clinical Infectious Diseases.

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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