Yuka Sudo
Impact in
- Aging top 5%
- Geriatrics and Gerontology top 5%
Papers in
-
- Neuroscience and Neuropharmacology Research 13
- Physiology 16
- Pain Mechanisms and Treatments 7
- Adipose Tissue and Metabolism 6
- Co-authors
- Yasuhito Uezono (33 shared papers)Yoshikazu Higami (20 shared papers)Naoyuki Okita (15 shared papers)Masaki Kobayashi (14 shared papers)Kanako Miyano (12 shared papers)Yuhei Mizunoe (7 shared papers)Minoru Hojo (6 shared papers)Koji Sumikawa (3 shared papers)
- Journals
- Journal of Pharmacological Sciences (10 papers)Experimental Gerontology (3 papers)International Journal of Molecular Sciences (3 papers)Anesthesiology (2 papers)Anesthesia & Analgesia (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yuka Sudo
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Aging 49
- Geriatrics and Gerontology 57
- Endocrine and Autonomic Systems 104
- Physiology 390
- Cellular and Molecular Neuroscience 287
Countries citing papers authored by Yuka Sudo
This map shows the geographic impact of Yuka Sudo'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 Yuka Sudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuka Sudo more than expected).
Fields of papers citing papers by Yuka Sudo
This network shows the impact of papers produced by Yuka Sudo. 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 Yuka Sudo. The network helps show where Yuka Sudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuka Sudo, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 207 | |
| 2 | 2008 | 133 | |
| 3 | 2016 | 97 | |
| 4 | 2017 | 91 | |
| 5 | 2017 | 55 | |
| 6 | 2015 | 52 | |
| 7 | 2014 | 50 | |
| 8 | 2017 | 42 | |
| 9 | 2013 | 39 | |
| 10 | 2006 | 35 | |
| 11 | 2018 | 34 | |
| 12 | 2016 | 32 | |
| 13 | 2020 | 32 | |
| 14 | 2016 | 29 | |
| 15 | 2011 | 29 | |
| 16 | 2012 | 28 | |
| 17 | 2018 | 26 | |
| 18 | 2015 | 26 | |
| 19 | 2014 | 26 | |
| 20 | 2011 | 25 |
About Yuka Sudo
Yuka Sudo is a scholar working on Cellular and Molecular Neuroscience, Physiology, Sensory Systems, Molecular Biology and Physiology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Ion channel regulation and function (12 papers), Receptor Mechanisms and Signaling (9 papers), Pain Mechanisms and Treatments (7 papers), Ion Channels and Receptors (6 papers), Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Cannabis and Cannabinoid Research (4 papers). The work is most often cited by research in Aging (49 citations), Geriatrics and Gerontology (57 citations), Endocrine and Autonomic Systems (104 citations), Physiology (390 citations) and Cellular and Molecular Neuroscience (287 citations). Yuka Sudo has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yasuhito Uezono, Yoshikazu Higami, Naoyuki Okita, Masaki Kobayashi, Kanako Miyano, Yuhei Mizunoe, Minoru Hojo, Koji Sumikawa, Masaaki Komatsu and Seiji Shiraishi. Their work appears in journals such as Journal of Pharmacological Sciences, Experimental Gerontology, International Journal of Molecular Sciences, Anesthesiology and Anesthesia & Analgesia.
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.