Jumpei Sato
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Health Information Management top 2%
- Epidemiology
- General Health Professions
- Co-authors
- Kamal JethwaniToru HisamitsuSujay KakarmathJoseph C. KvedarStephen AgboolaTakuma ShibaharaSara GolasJennifer Felsted
- Topics
- Herpesvirus Infections and Treatments (5 papers)Cytomegalovirus and herpesvirus research (4 papers)Motor Control and Adaptation (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC Health Services ResearchViruses
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Jumpei Sato
19 papers receiving 287 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 98
- Cardiology and Cardiovascular Medicine 93
- Health Information Management 76
- Epidemiology 75
- General Health Professions 38
Countries citing papers authored by Jumpei Sato
This map shows the geographic impact of Jumpei 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 Jumpei Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jumpei Sato more than expected).
Fields of papers citing papers by Jumpei Sato
This network shows the impact of papers produced by Jumpei 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 Jumpei Sato. The network helps show where Jumpei Sato may publish in the future.
Co-authorship network of co-authors of Jumpei Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Jumpei Sato. A scholar is included among the top collaborators of Jumpei Sato 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 Jumpei Sato. Jumpei Sato 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 46 | |
| 17 | 1 | |
| 18 | Enabling Patient Traceability Using Anonymized Personal Identifiers in Japanese Universal Health Insurance Claims Database. | 6 |
| 19 | 177 | |
| 20 | 6 |
About Jumpei Sato
Jumpei Sato is a scholar working on Applied Microbiology and Biotechnology, Health Information Management and Parasitology, having authored 24 papers that have together received 292 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and Motor Control and Adaptation (3 papers). The work is most often cited by research in Health Informatics (33 citations), Health Information Management (76 citations) and Applied Microbiology and Biotechnology (29 citations). Jumpei Sato has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Kamal Jethwani, Toru Hisamitsu, Sujay Kakarmath, Joseph C. Kvedar, Stephen Agboola, Takuma Shibahara, Sara Golas, Jennifer Felsted, Masaru Kitsuregawa and Kazuo Goda. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Health Services Research and Viruses.
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.