John H. Beigel
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 7
- Viral Infections and Outbreaks Research 5
- Viral Infections and Vectors 5
- Epidemiology top 2%
- Influenza Virus Research Studies 30
- Respiratory viral infections research 26
- Pneumonia and Respiratory Infections 6
- Modeling and Simulation top 2%
- Agronomy and Crop Science top 2%
- Immunology top 5%
- Immune Cell Function and Interaction 5
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- Mosquito-borne diseases and control 6
- Co-authors
- Mike BrayDavid S.C. HuiNelson LeeThomas LukeRichard T. DaveyGuillermo M. Ruiz‐PalaciosWayne A. MarascoM. Lourdes Guerrero
- Journals
- Antiviral Research (5 papers)The Journal of Infectious Diseases (4 papers)Open Forum Infectious Diseases (4 papers)
- Partner nations
- United StatesMexicoAustralia
In The Last Decade
John H. Beigel
51 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Infectious Diseases 1.1k
- Epidemiology 1.6k
- Modeling and Simulation 155
- Agronomy and Crop Science 294
- Immunology 512
Countries citing papers authored by John H. Beigel
This map shows the geographic impact of John H. Beigel'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 John H. Beigel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Beigel more than expected).
Fields of papers citing papers by John H. Beigel
This network shows the impact of papers produced by John H. Beigel. 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 John H. Beigel. The network helps show where John H. Beigel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John H. Beigel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 23 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 30 | |
| 10 | 2019 | 124 | |
| 11 | 2018 | 8 | |
| 12 | 2017 | 10 | |
| 13 | 2016 | 122 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 64 | |
| 16 | 2013 | 27 | |
| 17 | 2010 | 109 | |
| 18 | 2009 | 27 | |
| 19 | 2008 | 186 | |
| 20 | 2007 | 3 |
About John H. Beigel
John H. Beigel is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Virology and Immunology, having authored 53 papers that have together received 2.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (30 papers), Respiratory viral infections research (26 papers), Viral gastroenteritis research and epidemiology (7 papers), Pneumonia and Respiratory Infections (6 papers), Mosquito-borne diseases and control (6 papers), Viral Infections and Outbreaks Research (5 papers), Immune Cell Function and Interaction (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Epidemiology (1.6k citations), Modeling and Simulation (155 citations), Agronomy and Crop Science (294 citations) and Immunology (512 citations). John H. Beigel has collaborated with scholars based in United States, Mexico and Australia. Frequent co-authors include Mike Bray, David S.C. Hui, Nelson Lee, Thomas Luke, Richard T. Davey, Guillermo M. Ruiz‐Palacios, Wayne A. Marasco, M. Lourdes Guerrero, Arturo Galindo‐Fraga and Ana A. Ortiz‐Hernández. Their work appears in journals such as Antiviral Research, The Journal of Infectious Diseases, Open Forum Infectious Diseases, Clinical Infectious Diseases and Influenza and Other Respiratory 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.