Tsuneo Tamaki
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies 12
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- Radiomics and Machine Learning in Medical Imaging 16
- Medical Imaging Techniques and Applications 14
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- Lung Cancer Diagnosis and Treatment 16
- Lung Cancer Treatments and Mutations 8
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- Esophageal Cancer Research and Treatment 6
- Salivary Gland Tumors Diagnosis and Treatment 5
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- Cancer Diagnosis and Treatment 3
- Co-authors
- Masami NishioAtsushi TeramotoHiroshi FujitaHidenori SuzukiYasuhisa HasegawaYuta ShibamotoMasaki HaraKazuhito Yamamoto
- Cited by
- OtorhinolaryngologyRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
In The Last Decade
Tsuneo Tamaki
41 papers receiving 746 citations
Peers
Comparison fields: 5 of 85
- Otorhinolaryngology 131
- Radiology, Nuclear Medicine and Imaging 370
- Pulmonary and Respiratory Medicine 295
- Neurology 50
- Pathology and Forensic Medicine 94
Countries citing papers authored by Tsuneo Tamaki
This map shows the geographic impact of Tsuneo Tamaki'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 Tsuneo Tamaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuneo Tamaki more than expected).
Fields of papers citing papers by Tsuneo Tamaki
This network shows the impact of papers produced by Tsuneo Tamaki. 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 Tsuneo Tamaki. The network helps show where Tsuneo Tamaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsuneo Tamaki, 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 | 2022 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 10 | |
| 4 | 2019 | 3 | |
| 5 | 2018 | 4 | |
| 6 | 2017 | 7 | |
| 7 | 2016 | 21 | |
| 8 | 2013 | 10 | |
| 9 | 2013 | 22 | |
| 10 | 2013 | 24 | |
| 11 | 2011 | 74 | |
| 12 | 2010 | 33 | |
| 13 | 2009 | 24 | |
| 14 | 2009 | 14 | |
| 15 | 2009 | 24 | |
| 16 | 2008 | 15 | |
| 17 | 2008 | 35 | |
| 18 | 2004 | 3 | |
| 19 | 2004 | 30 | |
| 20 | 2004 | 9 |
About Tsuneo Tamaki
Tsuneo Tamaki is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 765 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), Lung Cancer Diagnosis and Treatment (16 papers), Medical Imaging Techniques and Applications (14 papers), Head and Neck Cancer Studies (12 papers), Lung Cancer Treatments and Mutations (8 papers), Esophageal Cancer Research and Treatment (6 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers) and Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Otorhinolaryngology (131 citations), Radiology, Nuclear Medicine and Imaging (370 citations) and Pulmonary and Respiratory Medicine (295 citations). Tsuneo Tamaki has collaborated with scholars based in Japan, India and Egypt. Frequent co-authors include Masami Nishio, Atsushi Teramoto, Hiroshi Fujita, Hidenori Suzuki, Yasuhisa Hasegawa, Yuta Shibamoto, Masaki Hara, Kazuhito Yamamoto, Yasuhiro Oki and Dai Chihara. Their work appears in journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.
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.