Róbert Herczeg
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- Modeling and Simulation top 10%
Papers in
-
- Viral Infections and Vectors 6
- Viral gastroenteritis research and epidemiology 5
- SARS-CoV-2 and COVID-19 Research 4
-
- Receptor Mechanisms and Signaling 3
- Co-authors
- Balázs Bálint (4 shared papers)Attila Gyenesei (19 shared papers)Péter Urbán (15 shared papers)Péter Bihari (1 shared paper)Peter Mergaert (1 shared paper)Attila Kereszt (1 shared paper)Jesús Montiel (1 shared paper)István Nagy (4 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Viruses (4 papers)GeroScience (2 papers)Scientific Reports (2 papers)Frontiers in Physiology (2 papers)
- Partner nations
- HungaryUnited StatesPoland
In The Last Decade
Róbert Herczeg
49 papers receiving 824 citations
Peers
Comparison fields: 5 of 134
- Infectious Diseases 187
- Modeling and Simulation 31
- Clinical Biochemistry 43
- Drug Discovery 1
- Health 41
Countries citing papers authored by Róbert Herczeg
This map shows the geographic impact of Róbert Herczeg'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 Róbert Herczeg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Róbert Herczeg more than expected).
Fields of papers citing papers by Róbert Herczeg
This network shows the impact of papers produced by Róbert Herczeg. 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 Róbert Herczeg. The network helps show where Róbert Herczeg may publish in the future.
Co-authors
The 25 scholars most cited alongside Róbert Herczeg, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 123 | |
| 2 | 2021 | 85 | |
| 3 | 2020 | 53 | |
| 4 | 2016 | 53 | |
| 5 | 2017 | 48 | |
| 6 | 2016 | 47 | |
| 7 | 2020 | 46 | |
| 8 | 2015 | 37 | |
| 9 | 2021 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2019 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2022 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2022 | 12 |
About Róbert Herczeg
Róbert Herczeg is a scholar working on Infectious Diseases, Molecular Biology, Ecology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 51 papers that have together received 834 indexed citations. Recurring topics across this work include Viral Infections and Vectors (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Animal Virus Infections Studies (5 papers), Neuropeptides and Animal Physiology (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Infectious Diseases (187 citations), Modeling and Simulation (31 citations), Clinical Biochemistry (43 citations), Drug Discovery (1 citation) and Health (41 citations). Róbert Herczeg has collaborated with scholars based in Hungary, United States and Poland. Frequent co-authors include Balázs Bálint, Attila Gyenesei, Péter Urbán, Péter Bihari, Peter Mergaert, Attila Kereszt, Jesús Montiel, István Nagy, Éva Kondorosi and Attila Farkas. Their work appears in journals such as International Journal of Molecular Sciences, Viruses, GeroScience, Scientific Reports and Frontiers in Physiology.
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.