Tomoya Saito
- Infectious Diseases top 10%
- Molecular Biology
- Epidemiology
- Virology top 5%
- Modeling and Simulation top 5%
- Co-authors
- Fumio OhtakeTakuya MaedaHitoshi OshitaniTsutomu TakeuchiTakashi AsaiYasuhiro KanataniHiroyuki YokoteTadatsugu Imamura
- Topics
- SARS-CoV-2 and COVID-19 Research (8 papers)COVID-19 epidemiological studies (8 papers)Viral Infections and Outbreaks Research (8 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tomoya Saito
41 papers receiving 576 citations
Peers
Comparison fields: 5 of 100
- Infectious Diseases 186
- Molecular Biology 181
- Epidemiology 165
- Virology 120
- Modeling and Simulation 71
Countries citing papers authored by Tomoya Saito
This map shows the geographic impact of Tomoya Saito'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 Tomoya Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoya Saito more than expected).
Fields of papers citing papers by Tomoya Saito
This network shows the impact of papers produced by Tomoya Saito. 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 Tomoya Saito. The network helps show where Tomoya Saito may publish in the future.
Co-authorship network of co-authors of Tomoya Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoya Saito. A scholar is included among the top collaborators of Tomoya Saito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomoya Saito. Tomoya Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 46 | |
| 7 | 25 | |
| 8 | 23 | |
| 9 | 19 | |
| 10 | 8 | |
| 11 | 34 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 63 | |
| 15 | 3 | |
| 16 | 28 | |
| 17 | 40 | |
| 18 | 5 | |
| 19 | 18 | |
| 20 | 18 |
About Tomoya Saito
Tomoya Saito is a scholar working on Modeling and Simulation, Chemical Health and Safety and Virology, having authored 42 papers that have together received 598 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 epidemiological studies (8 papers) and Viral Infections and Outbreaks Research (8 papers). The work is most often cited by research in Virology (120 citations), Modeling and Simulation (71 citations) and Infectious Diseases (186 citations). Tomoya Saito has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Fumio Ohtake, Takuya Maeda, Hitoshi Oshitani, Tsutomu Takeuchi, Takashi Asai, Yasuhiro Kanatani, Hiroyuki Yokote, Tadatsugu Imamura, David S. Roos and Akiko Eto. Their work appears in journals such as The Lancet, JAMA and Journal of Biological Chemistry.
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.