J Horváth
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
- Genetics 13
- Virus-based gene therapy research 12
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- Influenza Virus Research Studies 4
- Co-authors
- Joseph Weber (5 shared papers)Stephen Raffanti (1 shared paper)Laszlo Palkonyay (2 shared papers)Beatrix Oroszi (7 shared papers)Daniela Pițigoi (4 shared papers)Esther Kissling (3 shared papers)Marta Valenciano (3 shared papers)Amparo Larrauri (3 shared papers)
- Journals
- Eurosurveillance (3 papers)Journal of Virology (2 papers)Vaccine (2 papers)PLoS Medicine (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- HungaryUnited StatesCanada
In The Last Decade
J Horváth
50 papers receiving 834 citations
Peers
Comparison fields: 5 of 95
- Modeling and Simulation 70
- Infectious Diseases 214
- Epidemiology 379
- Parasitology 57
- Health 66
Countries citing papers authored by J Horváth
This map shows the geographic impact of J Horváth'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 J Horváth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Horváth more than expected).
Fields of papers citing papers by J Horváth
This network shows the impact of papers produced by J Horváth. 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 J Horváth. The network helps show where J Horváth may publish in the future.
Co-authors
The 25 scholars most cited alongside J Horváth, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 121 | |
| 2 | 1986 | 113 | |
| 3 | 1994 | 94 | |
| 4 | 2012 | 69 | |
| 5 | 2016 | 60 | |
| 6 | 2020 | 53 | |
| 7 | 1988 | 49 | |
| 8 | 2015 | 47 | |
| 9 | 1985 | 43 | |
| 10 | 2021 | 26 | |
| 11 | 2022 | 22 | |
| 12 | 2017 | 20 | |
| 13 | Antiviral alkaloid in Chelidonium majus L. | 1987 | 19 |
| 14 | Isolation of variants resistant to methylglyoxal bis(guanylhydrazone) from adenovirus-transformed rat cells. | 1987 | 18 |
| 15 | 2013 | 14 | |
| 16 | Non-p-glycoprotein-mediated multidrug resistance in detransformed rat cells selected for resistance to methylglyoxal bis(guanylhydrazone). | 1989 | 11 |
| 17 | Apoptosis by genetic engineering. | 1994 | 8 |
| 18 | 2022 | 7 | |
| 19 | [Soy formula in the feeding of infants with milk allergy]. | 1995 | 7 |
| 20 | 1978 | 6 |
About J Horváth
J Horváth is a scholar working on Genetics, Epidemiology, Molecular Biology, Oncology and Infectious Diseases, having authored 52 papers that have together received 885 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), COVID-19 epidemiological studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Vaccine Coverage and Hesitancy (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Influenza Virus Research Studies (4 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Modeling and Simulation (70 citations), Infectious Diseases (214 citations), Epidemiology (379 citations), Parasitology (57 citations) and Health (66 citations). J Horváth has collaborated with scholars based in Hungary, United States and Canada. Frequent co-authors include Joseph Weber, Stephen Raffanti, Laszlo Palkonyay, Beatrix Oroszi, Daniela Pițigoi, Esther Kissling, Marta Valenciano, Amparo Larrauri, Csilla Nagy and Caterina Rizzo. Their work appears in journals such as Eurosurveillance, Journal of Virology, Vaccine, PLoS Medicine 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.