Ryo Sakamoto
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Physiology
- Artificial Intelligence
- Co-authors
- Koji FujimotoKaori TogashiYuji NakamotoToyohiro HiraiMizuho NishioChisako MuramatsuNaoya TanabeSusumu Satô
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)Lung Cancer Diagnosis and Treatment (8 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Ryo Sakamoto
42 papers receiving 390 citations
Peers
Comparison fields: 5 of 75
- Pulmonary and Respiratory Medicine 188
- Radiology, Nuclear Medicine and Imaging 187
- Biomedical Engineering 64
- Physiology 47
- Artificial Intelligence 40
Countries citing papers authored by Ryo Sakamoto
This map shows the geographic impact of Ryo 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 Ryo Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Sakamoto more than expected).
Fields of papers citing papers by Ryo Sakamoto
This network shows the impact of papers produced by Ryo 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 Ryo Sakamoto. The network helps show where Ryo Sakamoto may publish in the future.
Co-authorship network of co-authors of Ryo Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Sakamoto. A scholar is included among the top collaborators of Ryo 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 Ryo Sakamoto. Ryo 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 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 38 | |
| 14 | 11 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 21 | |
| 19 | 4 | |
| 20 | 5 |
About Ryo Sakamoto
Ryo Sakamoto is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics, having authored 47 papers that have together received 397 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Lung Cancer Diagnosis and Treatment (8 papers). The work is most often cited by research in Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (187 citations) and Pulmonary and Respiratory Medicine (188 citations). Ryo Sakamoto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Koji Fujimoto, Kaori Togashi, Yuji Nakamoto, Toyohiro Hirai, Mizuho Nishio, Chisako Muramatsu, Naoya Tanabe, Susumu Satô, Hiroshi Fujita and Yusuke Shiraishi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.