Yuuki Tsuchihashi
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 5
-
- Influenza Virus Research Studies 5
- Respiratory viral infections research 4
-
- Viral Infections and Outbreaks Research 3
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 2
- Viral gastroenteritis research and epidemiology 1
-
- Streptococcal Infections and Treatments 2
- Co-authors
- Tomimasa SunagawaTakao ToyokawaYuichiro YahataKiyosu TaniguchiTomoko KodamaHajime KamiyaHitoshi TakahashiYoshiaki Gu
- Journals
- Clinical Infectious Diseases (1 paper)International Journal of Infectious Diseases (1 paper)Epidemiology and Infection (1 paper)
- Partner nations
- Japan
In The Last Decade
Yuuki Tsuchihashi
14 papers receiving 197 citations
Peers
Comparison fields: 5 of 51
- Modeling and Simulation 77
- Epidemiology 146
- Infectious Diseases 72
- Agronomy and Crop Science 19
- Applied Microbiology and Biotechnology 2
Countries citing papers authored by Yuuki Tsuchihashi
This map shows the geographic impact of Yuuki Tsuchihashi'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 Yuuki Tsuchihashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuuki Tsuchihashi more than expected).
Fields of papers citing papers by Yuuki Tsuchihashi
This network shows the impact of papers produced by Yuuki Tsuchihashi. 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 Yuuki Tsuchihashi. The network helps show where Yuuki Tsuchihashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuuki Tsuchihashi, 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 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 3 | |
| 10 | 2014 | 0 | |
| 11 | 2011 | 11 | |
| 12 | 2011 | 21 | |
| 13 | 2011 | 16 | |
| 14 | 日本の神戸市での2009年5~6月のインフルエンザA型(H1N1)Vの集団発生時の家庭内接触者における2次発症率の評価と抗ウイルス薬予防投与の有効性 | 2009 | 8 |
| 15 | 2009 | 40 | |
| 16 | 2009 | 58 |
About Yuuki Tsuchihashi
Yuuki Tsuchihashi is a scholar working on Modeling and Simulation, Infectious Diseases and Endocrinology, having authored 16 papers that have together received 204 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), COVID-19 epidemiological studies (5 papers), Respiratory viral infections research (4 papers), Viral Infections and Outbreaks Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Streptococcal Infections and Treatments (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Modeling and Simulation (77 citations), Epidemiology (146 citations) and Infectious Diseases (72 citations). Yuuki Tsuchihashi has collaborated with scholars based in Japan. Frequent co-authors include Tomimasa Sunagawa, Takao Toyokawa, Yuichiro Yahata, Kiyosu Taniguchi, Tomoko Kodama, Hajime Kamiya, Hitoshi Takahashi, Yoshiaki Gu, N. Okabe and N. Okabe. Their work appears in journals such as Clinical Infectious Diseases, International Journal of Infectious Diseases and Epidemiology and Infection.
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.