Kenji U�da
Impact in
- Rheumatology top 5%
- Moyamoya disease diagnosis and treatment
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Neuroscience of respiration and sleep
Papers in
- Neurology 31
- Intracranial Aneurysms: Treatment and Complications 25
- Vascular Malformations Diagnosis and Treatment 12
- Rheumatology 29
- Moyamoya disease diagnosis and treatment 29
- Co-authors
- Yoshio Araki (53 shared papers)Yasuhiko Ibata (9 shared papers)Sho Okamoto (15 shared papers)Hitoshi Okamura (9 shared papers)Kinya Yokoyama (45 shared papers)Toshihiko Wakabayashi (17 shared papers)Takashi Izumi (40 shared papers)Masahiro Nishihori (42 shared papers)
In The Last Decade
Kenji U�da
61 papers receiving 457 citations
Peers
Comparison fields: 5 of 54
- Rheumatology 223
- Endocrine and Autonomic Systems 71
- Neurology 132
- Psychiatry and Mental health 79
- Cellular and Molecular Neuroscience 87
Countries citing papers authored by Kenji U�da
This map shows the geographic impact of Kenji U�da'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 Kenji U�da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji U�da more than expected).
Fields of papers citing papers by Kenji U�da
This network shows the impact of papers produced by Kenji U�da. 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 Kenji U�da. The network helps show where Kenji U�da may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenji U�da, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 67 | |
| 2 | 2018 | 36 | |
| 3 | 2018 | 25 | |
| 4 | 2018 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2003 | 23 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 18 | |
| 9 | 2004 | 16 | |
| 10 | 1985 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 1986 | 13 | |
| 13 | 1986 | 13 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 1999 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 7 |
About Kenji U�da
Kenji U�da is a scholar working on Neurology, Rheumatology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Surgery, having authored 78 papers that have together received 463 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (29 papers), Intracranial Aneurysms: Treatment and Complications (25 papers), Vascular Malformations Diagnosis and Treatment (12 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Neuropeptides and Animal Physiology (9 papers), Neurological Complications and Syndromes (7 papers), Pain Mechanisms and Treatments (4 papers) and Acute Ischemic Stroke Management (4 papers). The work is most often cited by research in Rheumatology (223 citations), Endocrine and Autonomic Systems (71 citations), Neurology (132 citations), Psychiatry and Mental health (79 citations) and Cellular and Molecular Neuroscience (87 citations). Kenji U�da has collaborated with scholars based in Japan, France and Iran. Frequent co-authors include Yoshio Araki, Yasuhiko Ibata, Sho Okamoto, Hitoshi Okamura, Kinya Yokoyama, Toshihiko Wakabayashi, Takashi Izumi, Masahiro Nishihori, Fumiaki Kanamori and Shinsuke Muraoka. Their work appears in journals such as World Neurosurgery, Neurosurgical Review, Neurologia medico-chirurgica, Journal of neurosurgery and Acta Neurochirurgica.
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.