Koichi Nakayama
- Biomedical Engineering top 1%
- Molecular Biology top 5%
- Surgery top 2%
- Automotive Engineering top 0.5%
- Physiology top 2%
- Co-authors
- Daiki MurataTomohisa IshikawaYoshiyuki TanabeYoshio TanakaNarutoshi HibinoNicanor I. MoldovanKazuo ObaraM. Itoh
- Topics
- Nitric Oxide and Endothelin Effects (54 papers)Tissue Engineering and Regenerative Medicine (33 papers)Ion channel regulation and function (24 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Koichi Nakayama
236 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Biomedical Engineering 2.0k
- Molecular Biology 1.4k
- Surgery 1.3k
- Automotive Engineering 914
- Physiology 814
Countries citing papers authored by Koichi Nakayama
This map shows the geographic impact of Koichi Nakayama'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 Koichi Nakayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Nakayama more than expected).
Fields of papers citing papers by Koichi Nakayama
This network shows the impact of papers produced by Koichi Nakayama. 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 Koichi Nakayama. The network helps show where Koichi Nakayama may publish in the future.
Co-authorship network of co-authors of Koichi Nakayama
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Nakayama. A scholar is included among the top collaborators of Koichi Nakayama 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 Koichi Nakayama. Koichi Nakayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 27 | |
| 8 | 47 | |
| 9 | 9 | |
| 10 | Self-Aligned Double and Quadruple Patterning-Aware Grid Routing | 1 |
| 11 | 1 | |
| 12 | 161 | |
| 13 | 7 | |
| 14 | 20 | |
| 15 | 29 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 1 | |
| 20 | Fundamental physiology of coronary smooth musculature from extramural stem arteries of pigs and rabbits. (Electric excitability, tension development, influence of Ca, Mg, H and K ions). | 16 |
About Koichi Nakayama
Koichi Nakayama is a scholar working on Physiology, Cellular and Molecular Neuroscience and Genetics, having authored 250 papers that have together received 5.1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (54 papers), Tissue Engineering and Regenerative Medicine (33 papers) and Ion channel regulation and function (24 papers). The work is most often cited by research in Automotive Engineering (914 citations), Biomedical Engineering (2.0k citations) and Biomaterials (498 citations). Koichi Nakayama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Daiki Murata, Tomohisa Ishikawa, Yoshiyuki Tanabe, Yoshio Tanaka, Narutoshi Hibino, Nicanor I. Moldovan, Kazuo Obara, M. Itoh, Ken‐ichi Arai and Maki Saito. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology 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.