Kazuo Nunoki
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- William A. CatterallHiroyoshi HidakaToshio TanakaVincent A. FlorioNorio TairaMasatoshi HagiwaraTakaaki AbeKuniaki Ishii
- Topics
- Ion channel regulation and function (18 papers)Cardiac electrophysiology and arrhythmias (15 papers)Receptor Mechanisms and Signaling (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBrain Research
- Partner nations
- JapanUnited StatesIran
In The Last Decade
Kazuo Nunoki
35 papers receiving 832 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 508
- Cellular and Molecular Neuroscience 188
- Oncology 172
- Cardiology and Cardiovascular Medicine 166
- Endocrinology, Diabetes and Metabolism 95
Countries citing papers authored by Kazuo Nunoki
This map shows the geographic impact of Kazuo Nunoki'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 Kazuo Nunoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Nunoki more than expected).
Fields of papers citing papers by Kazuo Nunoki
This network shows the impact of papers produced by Kazuo Nunoki. 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 Kazuo Nunoki. The network helps show where Kazuo Nunoki may publish in the future.
Co-authorship network of co-authors of Kazuo Nunoki
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Nunoki. A scholar is included among the top collaborators of Kazuo Nunoki 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 Kazuo Nunoki. Kazuo Nunoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 11 | |
| 3 | 30 | |
| 4 | 11 | |
| 5 | 78 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 26 | |
| 10 | 15 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 19 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 13 |
About Kazuo Nunoki
Kazuo Nunoki is a scholar working on Cardiology and Cardiovascular Medicine, Sensory Systems and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 860 indexed citations. Recurring topics across this work include Ion channel regulation and function (18 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (188 citations), Molecular Biology (508 citations) and Cardiology and Cardiovascular Medicine (166 citations). Kazuo Nunoki has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include William A. Catterall, Hiroyoshi Hidaka, Toshio Tanaka, Vincent A. Florio, Norio Taira, Masatoshi Hagiwara, Takaaki Abe, Kuniaki Ishii, Teruyuki Yanagisawa and Sadayoshi Ito. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Brain Research.
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.