Kohei Koga
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Physiology top 1%
- Pain Mechanisms and Treatments
Papers in
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- Neuroscience and Neuropharmacology Research 31
- Neuropeptides and Animal Physiology 8
- Physiology 36
- Pain Mechanisms and Treatments 36
- Co-authors
- Min Zhuo (26 shared papers)Tao Chen (20 shared papers)Giannina Descalzi (12 shared papers)Bong‐Kiun Kaang (7 shared papers)Megumu Yoshimura (10 shared papers)Xiang‐Yao Li (8 shared papers)Hidemasa Furue (11 shared papers)Graham L. Collingridge (4 shared papers)
In The Last Decade
Kohei Koga
56 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 1.4k
- Physiology 1.7k
- Behavioral Neuroscience 152
- Cognitive Neuroscience 653
- Sensory Systems 146
Countries citing papers authored by Kohei Koga
This map shows the geographic impact of Kohei Koga'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 Kohei Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kohei Koga more than expected).
Fields of papers citing papers by Kohei Koga
This network shows the impact of papers produced by Kohei Koga. 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 Kohei Koga. The network helps show where Kohei Koga may publish in the future.
Co-authors
The 25 scholars most cited alongside Kohei Koga, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 343 | |
| 2 | 2014 | 296 | |
| 3 | 2018 | 188 | |
| 4 | 2011 | 144 | |
| 5 | 2017 | 134 | |
| 6 | 2005 | 133 | |
| 7 | 2013 | 124 | |
| 8 | 2014 | 90 | |
| 9 | 2005 | 88 | |
| 10 | 2014 | 75 | |
| 11 | 2005 | 70 | |
| 12 | 2007 | 69 | |
| 13 | 2014 | 67 | |
| 14 | 2011 | 67 | |
| 15 | 2011 | 59 | |
| 16 | 2013 | 58 | |
| 17 | 2020 | 56 | |
| 18 | 2009 | 52 | |
| 19 | 2015 | 52 | |
| 20 | 2010 | 49 |
About Kohei Koga
Kohei Koga is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Cognitive Neuroscience and Sensory Systems, having authored 57 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (36 papers), Neuroscience and Neuropharmacology Research (31 papers), Ion channel regulation and function (15 papers), Neuropeptides and Animal Physiology (8 papers), Neural dynamics and brain function (7 papers), Memory and Neural Mechanisms (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Physiology (1.7k citations), Behavioral Neuroscience (152 citations), Cognitive Neuroscience (653 citations) and Sensory Systems (146 citations). Kohei Koga has collaborated with scholars based in Japan, Canada and China. Frequent co-authors include Min Zhuo, Tao Chen, Giannina Descalzi, Bong‐Kiun Kaang, Megumu Yoshimura, Xiang‐Yao Li, Hidemasa Furue, Graham L. Collingridge, Qian Song and Toshihiko Katafuchi. Their work appears in journals such as Molecular Pain, Molecular Brain, Journal of Neuroscience, Journal of Pharmacological Sciences and Journal of Neurophysiology.
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.