Akira Fukui
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Surgery
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Naohiko TakahashiYasushi TeshimaShotaro SaitoHidekazu KondoMikiko NakagawaTetsunori SaikawaTetsuji ShinoharaKunio Yufu
- Topics
- Cardiac electrophysiology and arrhythmias (19 papers)Atrial Fibrillation Management and Outcomes (17 papers)Cardiac Arrhythmias and Treatments (17 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanChinaUnited States
In The Last Decade
Akira Fukui
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Cardiology and Cardiovascular Medicine 928
- Molecular Biology 289
- Surgery 161
- Physiology 144
- Endocrinology, Diabetes and Metabolism 105
Countries citing papers authored by Akira Fukui
This map shows the geographic impact of Akira Fukui'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 Akira Fukui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Fukui more than expected).
Fields of papers citing papers by Akira Fukui
This network shows the impact of papers produced by Akira Fukui. 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 Akira Fukui. The network helps show where Akira Fukui may publish in the future.
Co-authorship network of co-authors of Akira Fukui
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Fukui. A scholar is included among the top collaborators of Akira Fukui 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 Akira Fukui. Akira Fukui 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 55 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 50 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 147 | |
| 16 | 35 | |
| 17 | 21 | |
| 18 | 32 | |
| 19 | 34 | |
| 20 | 2 |
About Akira Fukui
Akira Fukui is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine and Internal Medicine, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (19 papers), Atrial Fibrillation Management and Outcomes (17 papers) and Cardiac Arrhythmias and Treatments (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (928 citations), Endocrine and Autonomic Systems (50 citations) and Endocrinology, Diabetes and Metabolism (105 citations). Akira Fukui has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Naohiko Takahashi, Yasushi Teshima, Shotaro Saito, Hidekazu Kondo, Mikiko Nakagawa, Tetsunori Saikawa, Tetsuji Shinohara, Kunio Yufu, Satoru Nishio and Takanori Yamaguchi. Their work appears in journals such as European Heart Journal, British Journal of Pharmacology and Cardiovascular 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.