Keisuke Kouyama
- Molecular Biology top 10%
- Physiology top 5%
- Rheumatology top 2%
- Cellular and Molecular Neuroscience top 5%
- Immunology
- Co-authors
- Ikuo NishimotoTakako NiikuraMasaoki KawasumiYoshiko KitaTakashi YasukawaYuichi HashimotoYuko ItoHirohisa Tajima
- Topics
- Alzheimer's disease research and treatments (7 papers)Nuclear Receptors and Signaling (5 papers)GDF15 and Related Biomarkers (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Neuroscience
- Partner nations
- JapanUnited States
In The Last Decade
Keisuke Kouyama
27 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 727
- Physiology 632
- Rheumatology 455
- Cellular and Molecular Neuroscience 314
- Immunology 168
Countries citing papers authored by Keisuke Kouyama
This map shows the geographic impact of Keisuke Kouyama'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 Keisuke Kouyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Kouyama more than expected).
Fields of papers citing papers by Keisuke Kouyama
This network shows the impact of papers produced by Keisuke Kouyama. 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 Keisuke Kouyama. The network helps show where Keisuke Kouyama may publish in the future.
Co-authorship network of co-authors of Keisuke Kouyama
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Kouyama. A scholar is included among the top collaborators of Keisuke Kouyama 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 Keisuke Kouyama. Keisuke Kouyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 30 | |
| 6 | 108 | |
| 7 | 53 | |
| 8 | 61 | |
| 9 | 84 | |
| 10 | 49 | |
| 11 | 51 | |
| 12 | 88 | |
| 13 | 15 | |
| 14 | 24 | |
| 15 | 159 | |
| 16 | 32 | |
| 17 | 161 | |
| 18 | [Evaluation of intramyocardial coronary flow velocity pattern before and after surgical repair of Bland-White-Garland syndrome by pulsed Doppler echocardiography]. | 2 |
| 19 | 19 | |
| 20 | Volume-activated chloride current is not related to P-glycoprotein overexpression. | 30 |
About Keisuke Kouyama
Keisuke Kouyama is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Immunology and Allergy and Ophthalmology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Nuclear Receptors and Signaling (5 papers) and GDF15 and Related Biomarkers (3 papers). The work is most often cited by research in Rheumatology (455 citations), Physiology (632 citations) and Cellular and Molecular Neuroscience (314 citations). Keisuke Kouyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Ikuo Nishimoto, Takako Niikura, Masaoki Kawasumi, Yoshiko Kita, Takashi Yasukawa, Yuichi Hashimoto, Yuko Ito, Hirohisa Tajima, Haruka Sudo and Shoji Tsuji. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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.