Tetsu Sakamoto
- Health Informatics top 0.5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Family Practice top 5%
- Surgery
- Co-authors
- Taro ShimizuYukinori HaradaTakanobu HirosawaRen KawamuraKazuki TokumasuShoji KudohHiroshi OnoAkihiko Gemma
- Topics
- Clinical Reasoning and Diagnostic Skills (7 papers)Artificial Intelligence in Healthcare and Education (6 papers)Machine Learning in Healthcare (5 papers)
- Partner nations
- Japan
In The Last Decade
Tetsu Sakamoto
20 papers receiving 337 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 195
- Radiology, Nuclear Medicine and Imaging 116
- Artificial Intelligence 101
- Family Practice 60
- Surgery 34
Countries citing papers authored by Tetsu Sakamoto
This map shows the geographic impact of Tetsu Sakamoto'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 Tetsu Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsu Sakamoto more than expected).
Fields of papers citing papers by Tetsu Sakamoto
This network shows the impact of papers produced by Tetsu Sakamoto. 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 Tetsu Sakamoto. The network helps show where Tetsu Sakamoto may publish in the future.
Co-authorship network of co-authors of Tetsu Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsu Sakamoto. A scholar is included among the top collaborators of Tetsu Sakamoto 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 Tetsu Sakamoto. Tetsu Sakamoto 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 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 225 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | [A study on clinical features of Mycobacterium kansasii pulmonary disease in women]. | 1 |
| 16 | [A case of eosinophilic bronchiolitis complicated with eosinophilic sinusitis]. | 2 |
| 17 | 一酸化窒素傷害内皮細胞への単球接着においてMCP‐1によるCCR2の活性化はCa2+流を介したTF発現を促進する | 3 |
| 18 | 0 | |
| 19 | 1 | |
| 20 | [Report of two successful correction of syphilitic coronary ostial obstruction (author's transl)]. | 0 |
About Tetsu Sakamoto
Tetsu Sakamoto is a scholar working on Health Informatics, Family Practice and Issues, ethics and legal aspects, having authored 25 papers that have together received 344 indexed citations. Recurring topics across this work include Clinical Reasoning and Diagnostic Skills (7 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Health Informatics (195 citations), Family Practice (60 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). Tetsu Sakamoto has collaborated with scholars based in Japan. Frequent co-authors include Taro Shimizu, Yukinori Harada, Takanobu Hirosawa, Ren Kawamura, Kazuki Tokumasu, Shoji Kudoh, Hiroshi Ono, Akihiko Gemma, Hiroshi Okamura and Tsunehiro Ando. Their work appears in journals such as Circulation, International Journal of Environmental Research and Public Health and QJM.
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.