Norio Fukuda
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Materials Chemistry
- Co-authors
- Shin’ichi IshiwataSatoshi KuriharaHenk GranzierYiming WuToshihiro YamaseTakako TeruiDaisuke SasakiThomas C. Irving
- Topics
- Cardiomyopathy and Myosin Studies (44 papers)Cardiovascular Effects of Exercise (20 papers)Cardiac electrophysiology and arrhythmias (16 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Norio Fukuda
60 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 1.5k
- Molecular Biology 844
- Biomedical Engineering 293
- Atomic and Molecular Physics, and Optics 238
- Materials Chemistry 179
Countries citing papers authored by Norio Fukuda
This map shows the geographic impact of Norio Fukuda'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 Norio Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norio Fukuda more than expected).
Fields of papers citing papers by Norio Fukuda
This network shows the impact of papers produced by Norio Fukuda. 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 Norio Fukuda. The network helps show where Norio Fukuda may publish in the future.
Co-authorship network of co-authors of Norio Fukuda
This figure shows the co-authorship network connecting the top 25 collaborators of Norio Fukuda. A scholar is included among the top collaborators of Norio Fukuda 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 Norio Fukuda. Norio Fukuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 9 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | 26 | |
| 12 | 12 | |
| 13 | 35 | |
| 14 | 31 | |
| 15 | 2 | |
| 16 | 157 | |
| 17 | 38 | |
| 18 | 5 | |
| 19 | 28 | |
| 20 | 60 |
About Norio Fukuda
Norio Fukuda is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (44 papers), Cardiovascular Effects of Exercise (20 papers) and Cardiac electrophysiology and arrhythmias (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Molecular Biology (844 citations) and Cell Biology (154 citations). Norio Fukuda has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Shin’ichi Ishiwata, Satoshi Kurihara, Henk Granzier, Yiming Wu, Toshihiro Yamase, Takako Terui, Daisuke Sasaki, Thomas C. Irving, Gerrie P. Farman and Kotaro Oyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.
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.