Akihiko Igawa
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Pathology and Forensic Medicine
- Surgery
- Co-authors
- Hiroshi InoueTakashi NozawaKunihisa MiwaYuko MiyagiKeiko NakagawaZhu-Shan ZhangWilliam C. LittleTomohiko Ukai
- Topics
- Cardiac electrophysiology and arrhythmias (15 papers)Cardiac Imaging and Diagnostics (10 papers)Cardiovascular Function and Risk Factors (9 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Akihiko Igawa
32 papers receiving 678 citations
Peers
Comparison fields: 5 of 67
- Cardiology and Cardiovascular Medicine 501
- Radiology, Nuclear Medicine and Imaging 149
- Molecular Biology 107
- Pathology and Forensic Medicine 94
- Surgery 89
Countries citing papers authored by Akihiko Igawa
This map shows the geographic impact of Akihiko Igawa'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 Akihiko Igawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiko Igawa more than expected).
Fields of papers citing papers by Akihiko Igawa
This network shows the impact of papers produced by Akihiko Igawa. 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 Akihiko Igawa. The network helps show where Akihiko Igawa may publish in the future.
Co-authorship network of co-authors of Akihiko Igawa
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Igawa. A scholar is included among the top collaborators of Akihiko Igawa 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 Akihiko Igawa. Akihiko Igawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 3 | |
| 3 | The Genotype of CYP2D6 Determines Cardiac Responsiveness to β-adrenergic Stimulation in patients Treated with Metoprolol, but not with Bisoprolol | 3 |
| 4 | 46 | |
| 5 | 53 | |
| 6 | 21 | |
| 7 | Discrepant recovery course of sympathetic neuronal function and beta-adrenoceptors in rat hearts after reperfusion following transient ischemia. | 12 |
| 8 | 2 | |
| 9 | 66 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 11 | |
| 14 | 54 | |
| 15 | 84 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 20 | |
| 19 | 2 | |
| 20 | 2 |
About Akihiko Igawa
Akihiko Igawa is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Developmental Neuroscience, having authored 32 papers that have together received 707 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Cardiac Imaging and Diagnostics (10 papers) and Cardiovascular Function and Risk Factors (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (501 citations), Nephrology (56 citations) and Radiology, Nuclear Medicine and Imaging (149 citations). Akihiko Igawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroshi Inoue, Takashi Nozawa, Kunihisa Miwa, Yuko Miyagi, Keiko Nakagawa, Zhu-Shan Zhang, William C. Little, Tomohiko Ukai, Che‐Ping Cheng and Hideo Tachibana. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.
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.