Yusuke Asai
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Equine top 5%
- Veterinary Equine Medical Research
Papers in
-
- COVID-19 Clinical Research Studies 31
- SARS-CoV-2 and COVID-19 Research 11
- Epidemiology 34
- Co-authors
- Hiroshi Nishiura (8 shared papers)Norio Ohmagari (43 shared papers)Shinya Tsuzuki (25 shared papers)Nobuaki Matsunaga (25 shared papers)Andrei R. Akhmetzhanov (1 shared paper)Shingo Iwami (6 shared papers)Shinji Nakaoka (5 shared papers)Koichi Watashi (5 shared papers)
- Journals
- Equine Veterinary Journal (6 papers)Asian-Australasian Journal of Animal Sciences (4 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)International Journal of Infectious Diseases (3 papers)
- Partner nations
- JapanBelgiumUnited States
In The Last Decade
Yusuke Asai
101 papers receiving 900 citations
Peers
Comparison fields: 5 of 129
- Modeling and Simulation 179
- Equine 46
- Infectious Diseases 430
- Applied Microbiology and Biotechnology 24
- Endocrinology 45
Countries citing papers authored by Yusuke Asai
This map shows the geographic impact of Yusuke Asai'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 Yusuke Asai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Asai more than expected).
Fields of papers citing papers by Yusuke Asai
This network shows the impact of papers produced by Yusuke Asai. 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 Yusuke Asai. The network helps show where Yusuke Asai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Asai, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 88 | |
| 2 | 2021 | 67 | |
| 3 | 2019 | 58 | |
| 4 | 1978 | 40 | |
| 5 | 2022 | 36 | |
| 6 | 2003 | 32 | |
| 7 | 2021 | 30 | |
| 8 | 2019 | 29 | |
| 9 | 2017 | 29 | |
| 10 | 2010 | 26 | |
| 11 | 2022 | 24 | |
| 12 | 2008 | 24 | |
| 13 | 1999 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2017 | 20 | |
| 17 | 2018 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2021 | 14 | |
| 20 | 1999 | 14 |
About Yusuke Asai
Yusuke Asai is a scholar working on Infectious Diseases, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Modeling and Simulation, having authored 112 papers that have together received 941 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (31 papers), COVID-19 epidemiological studies (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Inflammatory Bowel Disease (10 papers), Antibiotic Use and Resistance (10 papers), Long-Term Effects of COVID-19 (9 papers), Veterinary Equine Medical Research (9 papers) and COVID-19 and healthcare impacts (8 papers). The work is most often cited by research in Modeling and Simulation (179 citations), Equine (46 citations), Infectious Diseases (430 citations), Applied Microbiology and Biotechnology (24 citations) and Endocrinology (45 citations). Yusuke Asai has collaborated with scholars based in Japan, Belgium and United States. Frequent co-authors include Hiroshi Nishiura, Norio Ohmagari, Shinya Tsuzuki, Nobuaki Matsunaga, Andrei R. Akhmetzhanov, Shingo Iwami, Shinji Nakaoka, Koichi Watashi, Kayoko Hayakawa and Mari Terada. Their work appears in journals such as Equine Veterinary Journal, Asian-Australasian Journal of Animal Sciences, PLoS ONE, Scientific Reports and International Journal of 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.