Koichi Nakayama
- Automotive Engineering top 0.5%
- Biomedical Engineering top 1%
- 3D Printing in Biomedical Research 23
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications 14
- Genetics top 2%
- Mesenchymal stem cell research 17
- Urology top 2%
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- Nitric Oxide and Endothelin Effects 54
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- Tissue Engineering and Regenerative Medicine 33
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- Ion channel regulation and function 24
- Receptor Mechanisms and Signaling 17
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- Cardiac electrophysiology and arrhythmias 14
- Co-authors
- Daiki MurataTomohisa IshikawaYoshiyuki TanabeYoshio TanakaNarutoshi HibinoNicanor I. MoldovanKazuo ObaraM. Itoh
- 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
- Automotive Engineering 914
- Biomedical Engineering 2.0k
- Biomaterials 498
- Genetics 382
- Urology 224
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
The 25 scholars most cited alongside Koichi Nakayama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 27 | |
| 8 | 2019 | 47 | |
| 9 | 2015 | 9 | |
| 10 | Self-Aligned Double and Quadruple Patterning-Aware Grid Routing | 2014 | 1 |
| 11 | 2013 | 1 | |
| 12 | 2007 | 161 | |
| 13 | 2006 | 7 | |
| 14 | 2003 | 20 | |
| 15 | 2003 | 29 | |
| 16 | 2002 | 11 | |
| 17 | 2002 | 1 | |
| 18 | 1999 | 22 | |
| 19 | 1989 | 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). | 1978 | 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), Ion channel regulation and function (24 papers), 3D Printing in Biomedical Research (23 papers), Receptor Mechanisms and Signaling (17 papers), Mesenchymal stem cell research (17 papers), Electrospun Nanofibers in Biomedical Applications (14 papers) and Cardiac electrophysiology and arrhythmias (14 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.