Benjamin J. Cowling
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies 278
- Infectious Diseases top 0.02%
- SARS-CoV-2 and COVID-19 Research 140
- COVID-19 Clinical Research Studies 53
- Epidemiology top 0.05%
- Influenza Virus Research Studies 345
- Respiratory viral infections research 207
- Health top 0.1%
- Vaccine Coverage and Hesitancy 74
- Agronomy and Crop Science top 0.1%
- Animal Disease Management and Epidemiology 86
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- Infection Control and Ventilation 45
- Journals
- Science (2 papers)New England Journal of Medicine (3 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Benjamin J. Cowling
683 papers receiving 28.7k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Modeling and Simulation 9.1k
- Infectious Diseases 10.1k
- Epidemiology 10.7k
- Health 2.4k
- Agronomy and Crop Science 2.6k
Countries citing papers authored by Benjamin J. Cowling
This map shows the geographic impact of Benjamin J. Cowling'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 Benjamin J. Cowling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin J. Cowling more than expected).
Fields of papers citing papers by Benjamin J. Cowling
This network shows the impact of papers produced by Benjamin J. Cowling. 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 Benjamin J. Cowling. The network helps show where Benjamin J. Cowling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin J. Cowling, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2019 | 8 | |
| 18 | 2015 | 3 | |
| 19 | Age of menarche and the metabolic syndrome in China: the Guangzhou Biobank Cohort Study | 2007 | 4 |
| 20 | 2007 | 14 |
About Benjamin J. Cowling
Benjamin J. Cowling is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 711 papers that have together received 29.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (345 papers), COVID-19 epidemiological studies (278 papers), Respiratory viral infections research (207 papers), SARS-CoV-2 and COVID-19 Research (140 papers), Animal Disease Management and Epidemiology (86 papers), Vaccine Coverage and Hesitancy (74 papers), COVID-19 Clinical Research Studies (53 papers) and Infection Control and Ventilation (45 papers). The work is most often cited by research in Modeling and Simulation (9.1k citations), Infectious Diseases (10.1k citations) and Epidemiology (10.7k citations). Benjamin J. Cowling has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include GM Leung, Eric H. Y. Lau, Malik Peiris, Peng Wu, Dkm Ip, Vicky J. Fang, Joseph T. Wu, Shuo Feng, Yuguo Li and Qiuyan Liao. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.