Issei Ueda
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Tryptophan and brain disorders 4
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- Stress Responses and Cortisol 4
- Co-authors
- Yukunori KorogiKeita WatanabeShingo KakedaAsuka KatsukiReiji YoshimuraSatoru IdeOsamu AbeJunji Moriya
- Journals
- Scientific Reports (2 papers)Psychiatry Research Neuroimaging (2 papers)American Journal of Neuroradiology (2 papers)European Radiology (2 papers)Magnetic Resonance in Medical Sciences (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Issei Ueda
29 papers receiving 666 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 108
- Behavioral Neuroscience 76
- Health Informatics 21
- Radiology, Nuclear Medicine and Imaging 311
- Cognitive Neuroscience 201
Countries citing papers authored by Issei Ueda
This map shows the geographic impact of Issei 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 Issei Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Issei Ueda more than expected).
Fields of papers citing papers by Issei Ueda
This network shows the impact of papers produced by Issei 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 Issei Ueda. The network helps show where Issei Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Issei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2021 | 3 | |
| 3 | 2020 | 14 | |
| 4 | 2020 | 5 | |
| 5 | 2020 | 29 | |
| 6 | 2019 | 11 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 19 | |
| 11 | 2018 | 45 | |
| 12 | 2018 | 58 | |
| 13 | 2016 | 44 | |
| 14 | 2016 | 16 | |
| 15 | 2015 | 19 | |
| 16 | 2015 | 131 | |
| 17 | 2014 | 36 | |
| 18 | 2014 | 19 | |
| 19 | 2014 | 40 | |
| 20 | 2008 | 6 |
About Issei Ueda
Issei Ueda is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Developmental Neuroscience, having authored 30 papers that have together received 671 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (8 papers), Stress Responses and Cortisol (4 papers), Tryptophan and brain disorders (4 papers), Glioma Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Biological Psychiatry (108 citations), Behavioral Neuroscience (76 citations), Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (311 citations) and Cognitive Neuroscience (201 citations). Issei Ueda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yukunori Korogi, Keita Watanabe, Shingo Kakeda, Asuka Katsuki, Reiji Yoshimura, Satoru Ide, Osamu Abe, Junji Moriya, Koichiro Sugimoto and Ryohei Igata. Their work appears in journals such as Scientific Reports, Psychiatry Research Neuroimaging, American Journal of Neuroradiology, European Radiology and Magnetic Resonance in Medical Sciences.
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.