Dániel Cadar
Impact in
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
Papers in
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- Viral Infections and Vectors 50
- Viral gastroenteritis research and epidemiology 14
-
- Mosquito-borne diseases and control 43
- Malaria Research and Control 13
- Co-authors
- Jonas Schmidt‐Chanasit (53 shared papers)Attila Cságola (13 shared papers)Tamás Tuboly (13 shared papers)Marina Spînu (18 shared papers)Tímea Kiss (8 shared papers)Stephan Günther (9 shared papers)Dennis Tappe (12 shared papers)Márta Lőrincz (7 shared papers)
In The Last Decade
Dániel Cadar
108 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 98
- Infectious Diseases 1.7k
- Animal Science and Zoology 652
- Public Health, Environmental and Occupational Health 1.2k
- Parasitology 275
- Virology 77
Countries citing papers authored by Dániel Cadar
This map shows the geographic impact of Dániel Cadar'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 Dániel Cadar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Cadar more than expected).
Fields of papers citing papers by Dániel Cadar
This network shows the impact of papers produced by Dániel Cadar. 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 Dániel Cadar. The network helps show where Dániel Cadar may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Cadar, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 162 | |
| 2 | 2014 | 136 | |
| 3 | 2016 | 132 | |
| 4 | 2018 | 125 | |
| 5 | 2016 | 114 | |
| 6 | 2012 | 91 | |
| 7 | 2017 | 81 | |
| 8 | 2021 | 79 | |
| 9 | 2018 | 78 | |
| 10 | 2017 | 71 | |
| 11 | 2016 | 64 | |
| 12 | 2018 | 57 | |
| 13 | 2014 | 55 | |
| 14 | 2012 | 53 | |
| 15 | 2022 | 51 | |
| 16 | 2016 | 45 | |
| 17 | 2022 | 42 | |
| 18 | 2012 | 41 | |
| 19 | 2017 | 38 | |
| 20 | 2011 | 35 |
About Dániel Cadar
Dániel Cadar is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Animal Science and Zoology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 116 papers that have together received 2.8k indexed citations. Recurring topics across this work include Viral Infections and Vectors (50 papers), Mosquito-borne diseases and control (43 papers), Animal Virus Infections Studies (21 papers), Viral gastroenteritis research and epidemiology (14 papers), Virus-based gene therapy research (14 papers), Malaria Research and Control (13 papers), Vector-Borne Animal Diseases (10 papers) and Virology and Viral Diseases (9 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Animal Science and Zoology (652 citations), Public Health, Environmental and Occupational Health (1.2k citations), Parasitology (275 citations) and Virology (77 citations). Dániel Cadar has collaborated with scholars based in Germany, Romania and Hungary. Frequent co-authors include Jonas Schmidt‐Chanasit, Attila Cságola, Tamás Tuboly, Marina Spînu, Tímea Kiss, Stephan Günther, Dennis Tappe, Márta Lőrincz, Hanna Jöst and Renke Lühken. Their work appears in journals such as Emerging infectious diseases, Viruses, Infection Genetics and Evolution, Scientific Reports and Parasites & Vectors.
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.