Junichi Tokuda
Impact in
- Radiation top 2%
- Advanced Radiotherapy Techniques
- Biomedical Engineering top 2%
- Soft Robotics and Applications
- Anatomy and Medical Technology
Papers in
- Radiation 26
- Advanced Radiotherapy Techniques 25
-
- Advanced MRI Techniques and Applications 27
- MRI in cancer diagnosis 14
- Co-authors
- Nobuhiko HataClare M. TempanyGregory S. FischerIulian IordachitaGábor FichtingerKemal TuncaliSang‐Eun SongCsaba Csoma
- Journals
- International Journal of Computer Assisted Radiology and Surgery (8 papers)Academic Radiology (7 papers)Medical Physics (6 papers)Magnetic Resonance in Medicine (5 papers)IEEE/ASME Transactions on Mechatronics (5 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Junichi Tokuda
97 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 100
- Radiation 408
- Biomedical Engineering 1.4k
- Radiology, Nuclear Medicine and Imaging 703
- Surgery 732
- Computer Vision and Pattern Recognition 297
Countries citing papers authored by Junichi Tokuda
This map shows the geographic impact of Junichi Tokuda'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 Junichi Tokuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junichi Tokuda more than expected).
Fields of papers citing papers by Junichi Tokuda
This network shows the impact of papers produced by Junichi Tokuda. 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 Junichi Tokuda. The network helps show where Junichi Tokuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Junichi Tokuda, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2019 | 30 | |
| 11 | 2018 | 16 | |
| 12 | 2017 | 95 | |
| 13 | 2014 | 108 | |
| 14 | 2013 | 21 | |
| 15 | 2012 | 42 | |
| 16 | 2009 | 44 | |
| 17 | 2009 | 8 | |
| 18 | 2008 | 19 | |
| 19 | 2003 | 26 | |
| 20 | 1989 | 0 |
About Junichi Tokuda
Junichi Tokuda is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Hepatology and Surgery, having authored 98 papers that have together received 2.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (42 papers), Surgical Simulation and Training (36 papers), Advanced MRI Techniques and Applications (27 papers), Advanced Radiotherapy Techniques (25 papers), Prostate Cancer Diagnosis and Treatment (18 papers), MRI in cancer diagnosis (14 papers), Anatomy and Medical Technology (12 papers) and Augmented Reality Applications (10 papers). The work is most often cited by research in Radiation (408 citations), Biomedical Engineering (1.4k citations), Radiology, Nuclear Medicine and Imaging (703 citations), Surgery (732 citations) and Computer Vision and Pattern Recognition (297 citations). Junichi Tokuda has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Nobuhiko Hata, Clare M. Tempany, Gregory S. Fischer, Iulian Iordachita, Gábor Fichtinger, Kemal Tuncali, Sang‐Eun Song, Csaba Csoma, Simon DiMaio and Shigehiro Morikawa. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Academic Radiology, Medical Physics, Magnetic Resonance in Medicine and IEEE/ASME Transactions on Mechatronics.
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.