Satoshi Kutsuna
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- SARS-CoV-2 detection and testing
Papers in
-
- Viral Infections and Vectors 43
- COVID-19 Clinical Research Studies 25
- SARS-CoV-2 and COVID-19 Research 16
- Co-authors
- Norio OhmagariKayoko HayakawaNozomi TakeshitaYasuyuki KatoShuzo KanagawaKei YamamotoMakoto KurodaFumihiro Kato
- Journals
- Emerging infectious diseases (12 papers)International Journal of Infectious Diseases (9 papers)American Journal of Tropical Medicine and Hygiene (9 papers)PLoS ONE (8 papers)Open Forum Infectious Diseases (7 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Satoshi Kutsuna
167 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Infectious Diseases 1.9k
- Applied Microbiology and Biotechnology 70
- Modeling and Simulation 153
- Public Health, Environmental and Occupational Health 815
- Molecular Medicine 126
Countries citing papers authored by Satoshi Kutsuna
This map shows the geographic impact of Satoshi Kutsuna'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 Satoshi Kutsuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Kutsuna more than expected).
Fields of papers citing papers by Satoshi Kutsuna
This network shows the impact of papers produced by Satoshi Kutsuna. 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 Satoshi Kutsuna. The network helps show where Satoshi Kutsuna may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Kutsuna, 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 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 95 | |
| 17 | 2020 | 8 | |
| 18 | 2019 | 3 | |
| 19 | 2019 | 24 | |
| 20 | 2014 | 42 |
About Satoshi Kutsuna
Satoshi Kutsuna is a scholar working on Infectious Diseases, Microbiology, Applied Microbiology and Biotechnology, Parasitology and Molecular Medicine, having authored 191 papers that have together received 3.1k indexed citations. Recurring topics across this work include Viral Infections and Vectors (43 papers), Mosquito-borne diseases and control (39 papers), COVID-19 Clinical Research Studies (25 papers), Malaria Research and Control (19 papers), Travel-related health issues (18 papers), SARS-CoV-2 and COVID-19 Research (16 papers), Bacterial Identification and Susceptibility Testing (15 papers) and Long-Term Effects of COVID-19 (14 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Applied Microbiology and Biotechnology (70 citations), Modeling and Simulation (153 citations), Public Health, Environmental and Occupational Health (815 citations) and Molecular Medicine (126 citations). Satoshi Kutsuna has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Norio Ohmagari, Kayoko Hayakawa, Nozomi Takeshita, Yasuyuki Kato, Shuzo Kanagawa, Kei Yamamoto, Makoto Kuroda, Fumihiro Kato, Miyuki Kawase and Makoto Takeda. Their work appears in journals such as Emerging infectious diseases, International Journal of Infectious Diseases, American Journal of Tropical Medicine and Hygiene, PLoS ONE and Open Forum 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.