Takuya Ueda
Impact in
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- Advanced Combustion Engine Technologies
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Aortic Disease and Treatment Approaches 7
- Surgery 23
- Co-authors
- Ken Motoori (18 shared papers)Seiji Yamamoto (11 shared papers)Hisao Ito (14 shared papers)Daniel Y. Sze (4 shared papers)Forman A. Williams (1 shared paper)Harsha K. Chelliah (1 shared paper)Hiroyuki Funatsu (4 shared papers)Mitchell D. Smooke (1 shared paper)
- Journals
- Journal of Computer Assisted Tomography (7 papers)International Journal of Multiphase Flow (5 papers)Experiments in Fluids (4 papers)Radiology (4 papers)American Journal of Neuroradiology (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Takuya Ueda
105 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 131
- Fluid Flow and Transfer Processes 168
- Radiology, Nuclear Medicine and Imaging 442
- Computational Mechanics 406
- Pulmonary and Respiratory Medicine 505
- Hepatology 109
Countries citing papers authored by Takuya Ueda
This map shows the geographic impact of Takuya Ueda'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 Takuya Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Ueda more than expected).
Fields of papers citing papers by Takuya Ueda
This network shows the impact of papers produced by Takuya Ueda. 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 Takuya Ueda. The network helps show where Takuya Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Takuya Ueda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 261 | |
| 2 | 1991 | 192 | |
| 3 | 2005 | 158 | |
| 4 | Warthin tumor of the parotid gland: diagnostic value of MR imaging with histopathologic correlation. | 2004 | 149 |
| 5 | 2010 | 129 | |
| 6 | 2006 | 112 | |
| 7 | 2004 | 81 | |
| 8 | 2004 | 78 | |
| 9 | 2014 | 76 | |
| 10 | 1977 | 60 | |
| 11 | 1996 | 52 | |
| 12 | MR imaging of salivary duct carcinoma. | 2005 | 45 |
| 13 | 2005 | 44 | |
| 14 | 2017 | 44 | |
| 15 | 2014 | 38 | |
| 16 | 1975 | 37 | |
| 17 | 2012 | 36 | |
| 18 | 2013 | 33 | |
| 19 | 2007 | 29 | |
| 20 | 2008 | 26 |
About Takuya Ueda
Takuya Ueda is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Cardiology and Cardiovascular Medicine, having authored 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Aortic Disease and Treatment Approaches (7 papers), Combustion and flame dynamics (7 papers), Fluid Dynamics and Turbulent Flows (7 papers), Cardiac Imaging and Diagnostics (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Heat Transfer Mechanisms (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (168 citations), Radiology, Nuclear Medicine and Imaging (442 citations), Computational Mechanics (406 citations), Pulmonary and Respiratory Medicine (505 citations) and Hepatology (109 citations). Takuya Ueda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Ken Motoori, Seiji Yamamoto, Hisao Ito, Daniel Y. Sze, Forman A. Williams, Harsha K. Chelliah, Hiroyuki Funatsu, Mitchell D. Smooke, Chung K. Law and Geoffrey D. Rubin. Their work appears in journals such as Journal of Computer Assisted Tomography, International Journal of Multiphase Flow, Experiments in Fluids, Radiology and American Journal of Neuroradiology.
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.