Kaku Tamura
- Health Informatics top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 3
- General Dentistry top 5%
- Modeling and Simulation top 5%
-
- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 1
-
- Long-Term Effects of COVID-19 3
-
- Respiratory viral infections research 2
- Influenza Virus Research Studies 1
Kaku Tamura
12 papers receiving 829 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Health Informatics 43
- Infectious Diseases 542
- General Dentistry 37
- Modeling and Simulation 52
- Radiology, Nuclear Medicine and Imaging 192
Countries citing papers authored by Kaku Tamura
This map shows the geographic impact of Kaku Tamura'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 Kaku Tamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaku Tamura more than expected).
Fields of papers citing papers by Kaku Tamura
This network shows the impact of papers produced by Kaku Tamura. 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 Kaku Tamura. The network helps show where Kaku Tamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaku Tamura, 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 | 2021 | 4 | |
| 2 | Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japanbreakdown → | 2021 | 176 |
| 3 | 2021 | 41 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 82 | |
| 6 | 2020 | 170 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 283 | |
| 10 | 2020 | 27 | |
| 11 | 2018 | 34 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 0 |
About Kaku Tamura
Kaku Tamura is a scholar working on Infectious Diseases, Neurology and Modeling and Simulation, having authored 13 papers that have together received 846 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 diagnosis using AI (3 papers), SARS-CoV-2 detection and testing (3 papers), Long-Term Effects of COVID-19 (3 papers), Respiratory viral infections research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Health Informatics (43 citations), Infectious Diseases (542 citations) and General Dentistry (37 citations). Kaku Tamura has collaborated with scholars based in Japan, Italy and China. Frequent co-authors include Toshimitsu Ito, Kazuo Imai, Kazuyasu Miyoshi, Sakiko Tabata, Satoshi Mimura, Hirofumi Obinata, Yoshitaka Imoto, Yasuyuki Kato, Maki Iwata and Mayu Ikeda. Their work appears in journals such as Journal of Clinical Microbiology, The Lancet Infectious Diseases and Frontiers in Microbiology.
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.