Kei Sato
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- HIV/AIDS drug development and treatment
Papers in
- Virology 55
- HIV Research and Treatment 55
-
- SARS-CoV-2 and COVID-19 Research 20
- HIV/AIDS drug development and treatment 14
- Co-authors
- Yoshio KoyanagiNaoko MisawaYukio AkibaFusako SatoJumpei ItoShingo IwamiIzumi KimuraKeiya Uriu
- Journals
- Journal of Virology (13 papers)Scientific Reports (8 papers)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (8 papers)Cell Reports (6 papers)Retrovirology (6 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kei Sato
225 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Virology 1.0k
- Infectious Diseases 1.1k
- Animal Science and Zoology 519
- Immunology 1.1k
- Molecular Biology 1.9k
Countries citing papers authored by Kei Sato
This map shows the geographic impact of Kei Sato'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 Kei Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Sato more than expected).
Fields of papers citing papers by Kei Sato
This network shows the impact of papers produced by Kei Sato. 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 Kei Sato. The network helps show where Kei Sato may publish in the future.
Co-authors
The 25 scholars most cited alongside Kei Sato, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 41 | |
| 11 | 2020 | 1 | |
| 12 | 2017 | 30 | |
| 13 | 2015 | 12 | |
| 14 | 2015 | 9 | |
| 15 | 2009 | 65 | |
| 16 | Insulin stimulates glucose transporter 1 (GLUT1) and hexokinase II (HK II) gene expression in chicken skeletal muscle. | 2006 | 5 |
| 17 | 1993 | 63 | |
| 18 | [HTLV-I associated arthropathy (HAAP)]. | 1990 | 0 |
| 19 | 1989 | 17 | |
| 20 | Growth responses of some gramineous forage crops to daylength and temperature. | 1980 | 2 |
About Kei Sato
Kei Sato is a scholar working on Virology, Infectious Diseases, Animal Science and Zoology, Immunology and Epidemiology, having authored 231 papers that have together received 5.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (55 papers), Immune Cell Function and Interaction (23 papers), SARS-CoV-2 and COVID-19 Research (20 papers), Cytomegalovirus and herpesvirus research (15 papers), Millimeter-Wave Propagation and Modeling (14 papers), HIV/AIDS drug development and treatment (14 papers), Herpesvirus Infections and Treatments (13 papers) and Animal Virus Infections Studies (12 papers). The work is most often cited by research in Virology (1.0k citations), Infectious Diseases (1.1k citations), Animal Science and Zoology (519 citations), Immunology (1.1k citations) and Molecular Biology (1.9k citations). Kei Sato has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshio Koyanagi, Naoko Misawa, Yukio Akiba, Fusako Sato, Jumpei Ito, Shingo Iwami, Izumi Kimura, Keiya Uriu, Toshiyuki Ihara and Tetsuya Manabe. Their work appears in journals such as Journal of Virology, Scientific Reports, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Cell Reports and Retrovirology.
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.