Ryosuke Omori
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
- Epidemiology 28
- Influenza Virus Research Studies 13
- Herpesvirus Infections and Treatments 8
- Respiratory viral infections research 6
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- COVID-19 epidemiological studies 18
- Co-authors
- Laith J. Abu‐Raddad (17 shared papers)Hiroshi Nishiura (8 shared papers)Hiam Chemaitelly (10 shared papers)Kenji Mizumoto (7 shared papers)Yukihiko Nakata (6 shared papers)Ryota Matsuyama (11 shared papers)Fuminari Miura (2 shared papers)Masaaki Kitajima (2 shared papers)
- Journals
- PLoS ONE (5 papers)Scientific Reports (5 papers)International Journal of Infectious Diseases (4 papers)Frontiers in Microbiology (4 papers)Journal of Theoretical Biology (4 papers)
- Partner nations
- JapanUnited StatesQatar
In The Last Decade
Ryosuke Omori
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Modeling and Simulation 224
- Infectious Diseases 329
- Parasitology 89
- Epidemiology 379
- Microbiology 64
Countries citing papers authored by Ryosuke Omori
This map shows the geographic impact of Ryosuke Omori'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 Ryosuke Omori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Omori more than expected).
Fields of papers citing papers by Ryosuke Omori
This network shows the impact of papers produced by Ryosuke Omori. 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 Ryosuke Omori. The network helps show where Ryosuke Omori may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryosuke Omori, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 89 | |
| 2 | 2020 | 82 | |
| 3 | 2018 | 81 | |
| 4 | 2021 | 77 | |
| 5 | 2019 | 53 | |
| 6 | 2020 | 49 | |
| 7 | 2019 | 45 | |
| 8 | 2010 | 44 | |
| 9 | 2017 | 33 | |
| 10 | 2010 | 33 | |
| 11 | 2017 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 2018 | 28 | |
| 14 | 2015 | 26 | |
| 15 | 2012 | 23 | |
| 16 | 2012 | 22 | |
| 17 | 2009 | 22 | |
| 18 | 2021 | 21 | |
| 19 | 2012 | 21 | |
| 20 | 2015 | 21 |
About Ryosuke Omori
Ryosuke Omori is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Influenza Virus Research Studies (13 papers), Animal Disease Management and Epidemiology (12 papers), Herpesvirus Infections and Treatments (8 papers), Vector-Borne Animal Diseases (7 papers), Evolution and Genetic Dynamics (6 papers), Respiratory viral infections research (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). The work is most often cited by research in Modeling and Simulation (224 citations), Infectious Diseases (329 citations), Parasitology (89 citations), Epidemiology (379 citations) and Microbiology (64 citations). Ryosuke Omori has collaborated with scholars based in Japan, United States and Qatar. Frequent co-authors include Laith J. Abu‐Raddad, Hiroshi Nishiura, Hiam Chemaitelly, Kenji Mizumoto, Yukihiko Nakata, Ryota Matsuyama, Fuminari Miura, Masaaki Kitajima, Gerardo Chowell and Ben Adams. Their work appears in journals such as PLoS ONE, Scientific Reports, International Journal of Infectious Diseases, Frontiers in Microbiology and Journal of Theoretical Biology.
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.