K. Koga
Impact in
- Dermatology top 2%
- Dermatology and Skin Diseases
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 15
- Pain Mechanisms and Treatments 10
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- Ion channel regulation and function 4
- RNA Research and Splicing 3
- Co-authors
- Makoto Tsuda (15 shared papers)Hidetoshi Tozaki‐Saitoh (7 shared papers)Miho Shiratori‐Hayashi (6 shared papers)Yuta Kohro (4 shared papers)Hidemasa Furue (7 shared papers)Kazuhide Inoue (3 shared papers)Hideyuki Okano (2 shared papers)T. Takabatake (3 shared papers)
- Journals
- Molecular Brain (3 papers)Physica C Superconductivity (2 papers)Journal of Magnetism and Magnetic Materials (2 papers)Frontiers in Molecular Neuroscience (2 papers)Journal of Neuroscience (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
K. Koga
50 papers receiving 947 citations
Peers
Comparison fields: 5 of 104
- Dermatology 163
- Neurology 108
- Physiology 276
- Cellular and Molecular Neuroscience 207
- Biological Psychiatry 26
Countries citing papers authored by K. Koga
This map shows the geographic impact of K. 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 K. Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Koga more than expected).
Fields of papers citing papers by K. Koga
This network shows the impact of papers produced by K. 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 K. Koga. The network helps show where K. Koga may publish in the future.
Co-authors
The 25 scholars most cited alongside K. 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 157 | |
| 2 | 2012 | 101 | |
| 3 | 2018 | 61 | |
| 4 | 2021 | 56 | |
| 5 | 1988 | 43 | |
| 6 | 2019 | 41 | |
| 7 | 2007 | 39 | |
| 8 | 2021 | 38 | |
| 9 | 2017 | 33 | |
| 10 | 2020 | 32 | |
| 11 | 2014 | 32 | |
| 12 | 2006 | 27 | |
| 13 | 1999 | 18 | |
| 14 | 1988 | 18 | |
| 15 | 1974 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 1996 | 17 | |
| 18 | 2005 | 15 | |
| 19 | 1988 | 15 | |
| 20 | 2024 | 14 |
About K. Koga
K. Koga is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Condensed Matter Physics, having authored 54 papers that have together received 972 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Neurobiology and Insect Physiology Research (4 papers), Dermatology and Skin Diseases (4 papers), Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (3 papers), RNA Research and Splicing (3 papers), Silk-based biomaterials and applications (3 papers) and Physics of Superconductivity and Magnetism (3 papers). The work is most often cited by research in Dermatology (163 citations), Neurology (108 citations), Physiology (276 citations), Cellular and Molecular Neuroscience (207 citations) and Biological Psychiatry (26 citations). K. Koga has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Makoto Tsuda, Hidetoshi Tozaki‐Saitoh, Miho Shiratori‐Hayashi, Yuta Kohro, Hidemasa Furue, Kazuhide Inoue, Hideyuki Okano, T. Takabatake, Junichi Hachisuka and Ayumi Hasegawa. Their work appears in journals such as Molecular Brain, Physica C Superconductivity, Journal of Magnetism and Magnetic Materials, Frontiers in Molecular Neuroscience and Journal of Neuroscience.
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.