Keigo Ueda
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Neurology 17
- Long-Term Effects of COVID-19 16
- Co-authors
- Fumio Otsuka (26 shared papers)Yuki Otsuka (21 shared papers)Yasuhiro Nakano (22 shared papers)Naruhiko Sunada (15 shared papers)Hiroyuki Honda (20 shared papers)Hideharu Hagiya (17 shared papers)Yasue Sakurada (17 shared papers)Kazuki Tokumasu (20 shared papers)
- Journals
- Journal of Clinical Medicine (6 papers)The Journal of Alternative and Complementary Medicine (3 papers)Scientific Reports (3 papers)PLoS ONE (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- Japan
In The Last Decade
Keigo Ueda
39 papers receiving 447 citations
Peers
Comparison fields: 5 of 93
- Neurology 211
- Critical Care and Intensive Care Medicine 26
- Psychiatry and Mental health 74
- Complementary and alternative medicine 42
- Neurology 33
Countries citing papers authored by Keigo Ueda
This map shows the geographic impact of Keigo 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 Keigo Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keigo Ueda more than expected).
Fields of papers citing papers by Keigo Ueda
This network shows the impact of papers produced by Keigo 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 Keigo Ueda. The network helps show where Keigo Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Keigo 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 67 | |
| 2 | 2022 | 46 | |
| 3 | 2014 | 37 | |
| 4 | 2022 | 36 | |
| 5 | 2021 | 35 | |
| 6 | Effects of Microgravity on Cerebral Hemodynamics | 2003 | 22 |
| 7 | 2022 | 19 | |
| 8 | 2014 | 18 | |
| 9 | 2015 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 1999 | 15 | |
| 12 | 2011 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2011 | 7 | |
| 18 | 2013 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2024 | 6 |
About Keigo Ueda
Keigo Ueda is a scholar working on Neurology, Molecular Biology, Psychiatry and Mental health, Pharmacology and Physiology, having authored 45 papers that have together received 459 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (16 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), COVID-19 and Mental Health (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Traditional Chinese Medicine Studies (3 papers), Thermal Regulation in Medicine (3 papers), Plant-based Medicinal Research (3 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Neurology (211 citations), Critical Care and Intensive Care Medicine (26 citations), Psychiatry and Mental health (74 citations), Complementary and alternative medicine (42 citations) and Neurology (33 citations). Keigo Ueda has collaborated with scholars based in Japan. Frequent co-authors include Fumio Otsuka, Yuki Otsuka, Yasuhiro Nakano, Naruhiko Sunada, Hiroyuki Honda, Hideharu Hagiya, Yasue Sakurada, Kazuki Tokumasu, Takao Namiki and Hitomi Kataoka. Their work appears in journals such as Journal of Clinical Medicine, The Journal of Alternative and Complementary Medicine, Scientific Reports, PLoS ONE and International Journal of Molecular 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.