Peter Kabát
Impact in
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
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- Viral Infections and Vectors
Papers in
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- Viral Infections and Vectors 8
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- Herpesvirus Infections and Treatments 5
- Co-authors
- Michael Tristem (6 shared papers)Tatiana Betáková (5 shared papers)Joanne L. Martin (2 shared papers)Ján Koller (6 shared papers)Robert J. Gifford (1 shared paper)Toshio Kamahora (2 shared papers)Shigeo Hino (2 shared papers)Alfréd Trnka (4 shared papers)
- Journals
- Journal of Virology (3 papers)Virology (3 papers)Parasitology Research (2 papers)Vector-Borne and Zoonotic Diseases (1 paper)Antiviral Research (1 paper)
- Partner nations
- SlovakiaUnited KingdomCzechia
In The Last Decade
Peter Kabát
30 papers receiving 426 citations
Peers
Comparison fields: 5 of 60
- Animal Science and Zoology 61
- Infectious Diseases 91
- Virology 18
- Rehabilitation 23
- Immunology 72
Countries citing papers authored by Peter Kabát
This map shows the geographic impact of Peter Kabát'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 Peter Kabát with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kabát more than expected).
Fields of papers citing papers by Peter Kabát
This network shows the impact of papers produced by Peter Kabát. 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 Peter Kabát. The network helps show where Peter Kabát may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Kabát, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 63 | |
| 2 | 2013 | 42 | |
| 3 | 1996 | 37 | |
| 4 | 2004 | 30 | |
| 5 | 2003 | 25 | |
| 6 | 2008 | 23 | |
| 7 | 2006 | 21 | |
| 8 | 2010 | 21 | |
| 9 | 1996 | 19 | |
| 10 | 2013 | 17 | |
| 11 | 2008 | 17 | |
| 12 | 1995 | 16 | |
| 13 | 2016 | 14 | |
| 14 | 2002 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2012 | 11 | |
| 17 | 2011 | 10 | |
| 18 | 2014 | 9 | |
| 19 | 2018 | 7 | |
| 20 | Interferon alpha2b is the predominant subvariant detected in human genomic DNAs. | 1994 | 7 |
About Peter Kabát
Peter Kabát is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Plant Science and Genetics, having authored 31 papers that have together received 446 indexed citations. Recurring topics across this work include Viral Infections and Vectors (8 papers), Herpesvirus Infections and Treatments (5 papers), Plant Virus Research Studies (5 papers), CRISPR and Genetic Engineering (5 papers), Wound Healing and Treatments (4 papers), interferon and immune responses (4 papers), Chromosomal and Genetic Variations (4 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Animal Science and Zoology (61 citations), Infectious Diseases (91 citations), Virology (18 citations), Rehabilitation (23 citations) and Immunology (72 citations). Peter Kabát has collaborated with scholars based in Slovakia, United Kingdom and Czechia. Frequent co-authors include Michael Tristem, Tatiana Betáková, Joanne L. Martin, Ján Koller, Robert J. Gifford, Toshio Kamahora, Shigeo Hino, Alfréd Trnka, Abraham Karpas and F. Hill. Their work appears in journals such as Journal of Virology, Virology, Parasitology Research, Vector-Borne and Zoonotic Diseases and Antiviral Research.
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.