Yuji Nakamoto
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- Medical Imaging Techniques and Applications 91
- Radiomics and Machine Learning in Medical Imaging 85
- MRI in cancer diagnosis 51
- Advanced MRI Techniques and Applications 37
- Radiopharmaceutical Chemistry and Applications 31
- Advanced Neuroimaging Techniques and Applications 30
- Oncology top 1%
- Pancreatic and Hepatic Oncology Research 27
- Obstetrics and Gynecology top 1%
- Otorhinolaryngology top 2%
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- Neuroendocrine Tumor Research Advances 32
- Co-authors
- Kaori TogashiRichard L. WahlTsuneo SagaChristian CohadeMedhat OsmanTakayoshi IshimoriJunji KonishiMitsuaki Tatsumi
- Journals
- Physical Review Letters (1 paper)SHILAP Revista de lepidopterología (9 papers)PLoS ONE (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yuji Nakamoto
352 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Radiology, Nuclear Medicine and Imaging 4.2k
- Pulmonary and Respiratory Medicine 2.2k
- Oncology 1.7k
- Obstetrics and Gynecology 479
- Otorhinolaryngology 241
Countries citing papers authored by Yuji Nakamoto
This map shows the geographic impact of Yuji Nakamoto'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 Yuji Nakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuji Nakamoto more than expected).
Fields of papers citing papers by Yuji Nakamoto
This network shows the impact of papers produced by Yuji Nakamoto. 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 Yuji Nakamoto. The network helps show where Yuji Nakamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuji Nakamoto, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 7 | |
| 13 | Stoichiometric Ternary Superhydride | 2023 | 114 |
| 14 | 2022 | 9 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 30 | |
| 17 | 2016 | 24 | |
| 18 | 2012 | 87 | |
| 19 | 2004 | 6 | |
| 20 | Establishment and characterization of a breast cancer cell line expressing Na+/I- symporters for radioiodide concentrator gene therapy. | 2000 | 89 |
About Yuji Nakamoto
Yuji Nakamoto is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine, having authored 384 papers that have together received 8.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (91 papers), Radiomics and Machine Learning in Medical Imaging (85 papers), MRI in cancer diagnosis (51 papers), Advanced MRI Techniques and Applications (37 papers), Neuroendocrine Tumor Research Advances (32 papers), Radiopharmaceutical Chemistry and Applications (31 papers), Advanced Neuroimaging Techniques and Applications (30 papers) and Pancreatic and Hepatic Oncology Research (27 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.2k citations), Pulmonary and Respiratory Medicine (2.2k citations) and Oncology (1.7k citations). Yuji Nakamoto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kaori Togashi, Richard L. Wahl, Tsuneo Saga, Christian Cohade, Medhat Osman, Takayoshi Ishimori, Junji Konishi, Mitsuaki Tatsumi, Tatsuya Higashi and Tatsuya Higashi. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.
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.