Ken‐ichi Ueno
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Physiology
- Psychiatry and Mental health top 10%
- Neurology top 10%
- Co-authors
- Mitsuhiro YoshiokaHiroko TogashiMachiko MatsumotoKiyoshi MoriHideya SaitoYasuhiro ShimojimaDai KishidaYoshiki Sekijima
- Topics
- Vasculitis and related conditions (6 papers)Autoimmune and Inflammatory Disorders Research (5 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaThe Journal of Physical Chemistry
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Ken‐ichi Ueno
60 papers receiving 846 citations
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 206
- Molecular Biology 149
- Physiology 131
- Psychiatry and Mental health 125
- Neurology 101
Countries citing papers authored by Ken‐ichi Ueno
This map shows the geographic impact of Ken‐ichi Ueno'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 Ken‐ichi Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken‐ichi Ueno more than expected).
Fields of papers citing papers by Ken‐ichi Ueno
This network shows the impact of papers produced by Ken‐ichi Ueno. 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 Ken‐ichi Ueno. The network helps show where Ken‐ichi Ueno may publish in the future.
Co-authorship network of co-authors of Ken‐ichi Ueno
This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichi Ueno. A scholar is included among the top collaborators of Ken‐ichi Ueno based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ken‐ichi Ueno. Ken‐ichi Ueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 22 | |
| 5 | 19 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 26 | |
| 9 | 24 | |
| 10 | 45 | |
| 11 | 10 | |
| 12 | 98 | |
| 13 | Meteorological observations during 1994-2000 at the Automatic Weather Station (GEN-AWS) in Khumbu region, Nepal Himalayas | 29 |
| 14 | 73 | |
| 15 | 13 | |
| 16 | 77 | |
| 17 | 0 | |
| 18 | 36 | |
| 19 | 11 | |
| 20 | Toward a biomechanical criterion for functional brain injury | 12 |
About Ken‐ichi Ueno
Ken‐ichi Ueno is a scholar working on Environmental Chemistry, Rheumatology and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 873 indexed citations. Recurring topics across this work include Vasculitis and related conditions (6 papers), Autoimmune and Inflammatory Disorders Research (5 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Neurology (101 citations), Cellular and Molecular Neuroscience (206 citations) and Biological Psychiatry (27 citations). Ken‐ichi Ueno has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Mitsuhiro Yoshioka, Hiroko Togashi, Machiko Matsumoto, Kiyoshi Mori, Hideya Saito, Yasuhiro Shimojima, Dai Kishida, Yoshiki Sekijima, Subrina Jesmin and Ichiro Sakuma. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry.
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.