Shinya Ueno
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Pain Mechanisms and Treatments
-
- Neuroscience of respiration and sleep
Papers in
-
- Neuroscience and Neuropharmacology Research 48
- Physiology 14
- Adenosine and Purinergic Signaling 14
- Pain Mechanisms and Treatments 12
- Co-authors
- Kazuhide InoueNorio MatsukiMakoto TsudaHiroshi SaitōJunko YamadaAtsuo FukudaJoe Henry SteinbachToshihiko Iwanaga
- Journals
- Brain Research (6 papers)Molecular Pain (4 papers)Epilepsy Research (4 papers)Neuroscience Research (3 papers)PLoS ONE (3 papers)
- Partner nations
- JapanUnited StatesSri Lanka
In The Last Decade
Shinya Ueno
88 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Physiology 411
- Endocrine and Autonomic Systems 435
- Cellular and Molecular Neuroscience 1.0k
- Neurology 214
- Sensory Systems 121
Countries citing papers authored by Shinya Ueno
This map shows the geographic impact of Shinya 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 Shinya Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Ueno more than expected).
Fields of papers citing papers by Shinya Ueno
This network shows the impact of papers produced by Shinya 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 Shinya Ueno. The network helps show where Shinya Ueno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shinya Ueno, 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 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 23 | |
| 8 | 2018 | 13 | |
| 9 | 2017 | 36 | |
| 10 | 2016 | 5 | |
| 11 | 2016 | 3 | |
| 12 | 2014 | 32 | |
| 13 | 2008 | 22 | |
| 14 | 2004 | 136 | |
| 15 | 2004 | 38 | |
| 16 | 2004 | 95 | |
| 17 | 2002 | 27 | |
| 18 | 1999 | 170 | |
| 19 | 1996 | 66 | |
| 20 | 1994 | 30 |
About Shinya Ueno
Shinya Ueno is a scholar working on Cellular and Molecular Neuroscience, Physiology, Developmental Neuroscience, Endocrine and Autonomic Systems and Neurology, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (48 papers), Ion channel regulation and function (22 papers), Adenosine and Purinergic Signaling (14 papers), Pain Mechanisms and Treatments (12 papers), Neuroscience of respiration and sleep (10 papers), Neurological disorders and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Physiology (411 citations), Endocrine and Autonomic Systems (435 citations), Cellular and Molecular Neuroscience (1.0k citations), Neurology (214 citations) and Sensory Systems (121 citations). Shinya Ueno has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include Kazuhide Inoue, Norio Matsuki, Makoto Tsuda, Hiroshi Saitō, Junko Yamada, Atsuo Fukuda, Joe Henry Steinbach, Toshihiko Iwanaga, David S. Weiss and John Bracamontes. Their work appears in journals such as Brain Research, Molecular Pain, Epilepsy Research, Neuroscience Research 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.