Éva Nagy
Impact in
- Animal Science and Zoology top 0.2%
- Animal Virus Infections Studies
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology
Papers in
- Genetics 81
- Virus-based gene therapy research 69
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- Viral gastroenteritis research and epidemiology 56
- Co-authors
- István Berczi (44 shared papers)Peter J. Krell (31 shared papers)Shayan Sharif (37 shared papers)Davor Ojkić (11 shared papers)Kálmán Kovács (6 shared papers)Helena Grgić (14 shared papers)Peter Dobos (8 shared papers)Tamás Tuboly (13 shared papers)
- Journals
- Vaccine (11 papers)Virology (10 papers)Journal of General Virology (9 papers)Virus Research (9 papers)Viruses (8 papers)
- Partner nations
- CanadaHungaryUnited States
In The Last Decade
Éva Nagy
245 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 145
- Animal Science and Zoology 1.4k
- Infectious Diseases 1.9k
- Behavioral Neuroscience 327
- Virology 326
- Immunology 1.3k
Countries citing papers authored by Éva Nagy
This map shows the geographic impact of Éva Nagy'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 Éva Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Nagy more than expected).
Fields of papers citing papers by Éva Nagy
This network shows the impact of papers produced by Éva Nagy. 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 Éva Nagy. The network helps show where Éva Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Éva Nagy, 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 251 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 230 | |
| 2 | 1983 | 212 | |
| 3 | 1981 | 200 | |
| 4 | 1978 | 171 | |
| 5 | 1987 | 129 | |
| 6 | 2014 | 124 | |
| 7 | 1991 | 116 | |
| 8 | 2009 | 115 | |
| 9 | 1991 | 105 | |
| 10 | 1984 | 104 | |
| 11 | 2000 | 103 | |
| 12 | 1995 | 92 | |
| 13 | 1996 | 91 | |
| 14 | 2011 | 87 | |
| 15 | 1989 | 84 | |
| 16 | 2005 | 82 | |
| 17 | 2011 | 81 | |
| 18 | 2018 | 78 | |
| 19 | 2014 | 78 | |
| 20 | 2017 | 75 |
About Éva Nagy
Éva Nagy is a scholar working on Genetics, Infectious Diseases, Epidemiology, Molecular Biology and Immunology, having authored 251 papers that have together received 6.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (69 papers), Viral gastroenteritis research and epidemiology (56 papers), Animal Virus Infections Studies (44 papers), Viral Infectious Diseases and Gene Expression in Insects (40 papers), Influenza Virus Research Studies (36 papers), Immune Response and Inflammation (27 papers), Animal Disease Management and Epidemiology (23 papers) and Herpesvirus Infections and Treatments (21 papers). The work is most often cited by research in Animal Science and Zoology (1.4k citations), Infectious Diseases (1.9k citations), Behavioral Neuroscience (327 citations), Virology (326 citations) and Immunology (1.3k citations). Éva Nagy has collaborated with scholars based in Canada, Hungary and United States. Frequent co-authors include István Berczi, Peter J. Krell, Shayan Sharif, Davor Ojkić, Kálmán Kovács, Helena Grgić, Peter Dobos, Tamás Tuboly, L. Sylvia and Henry G. Friesen. Their work appears in journals such as Vaccine, Virology, Journal of General Virology, Virus Research and Viruses.
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.