Akio Saeki
- Cardiology and Cardiovascular Medicine top 5%
- Physiology
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Pathology and Forensic Medicine
- Co-authors
- David A. KassFabio A. RecchiaYoichi GotoRichard S. TuninKeisuke HataHiroyuki SugaOsamu KawaguchiHideaki Senzaki
- Topics
- Cardiovascular Function and Risk Factors (16 papers)Cardiac electrophysiology and arrhythmias (10 papers)Cardiomyopathy and Myosin Studies (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEmergency MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- JapanUnited States
In The Last Decade
Akio Saeki
29 papers receiving 529 citations
Peers
Comparison fields: 5 of 73
- Cardiology and Cardiovascular Medicine 381
- Physiology 97
- Molecular Biology 93
- Radiology, Nuclear Medicine and Imaging 91
- Pathology and Forensic Medicine 68
Countries citing papers authored by Akio Saeki
This map shows the geographic impact of Akio Saeki'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 Akio Saeki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Saeki more than expected).
Fields of papers citing papers by Akio Saeki
This network shows the impact of papers produced by Akio Saeki. 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 Akio Saeki. The network helps show where Akio Saeki may publish in the future.
Co-authorship network of co-authors of Akio Saeki
This figure shows the co-authorship network connecting the top 25 collaborators of Akio Saeki. A scholar is included among the top collaborators of Akio Saeki 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 Akio Saeki. Akio Saeki 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 | 2 | |
| 3 | 11 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 105 | |
| 7 | 16 | |
| 8 | 47 | |
| 9 | 75 | |
| 10 | 7 | |
| 11 | 19 | |
| 12 | 4 | |
| 13 | Ventricular perspective on efficiency. | 22 |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | -P63-COMPARISON OF CORONARY CIRCULATION, MYOCARDIAL METABOLISM WITH THE FINDINGS OF DIPYRIDAMOLE STRESS T1-201 MYOCARDIAL SCINTIGRAPHY (DPS) : RI : FREE COMMUNICATIONS(III) : PROCEEDINGS OF THE 53th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY | 1 |
| 20 | 43 |
About Akio Saeki
Akio Saeki is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Emergency Medicine, having authored 29 papers that have together received 544 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (16 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Cardiomyopathy and Myosin Studies (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (381 citations), Emergency Medicine (39 citations) and Radiology, Nuclear Medicine and Imaging (91 citations). Akio Saeki has collaborated with scholars based in Japan and United States. Frequent co-authors include David A. Kass, Fabio A. Recchia, Yoichi Goto, Richard S. Tunin, Keisuke Hata, Hiroyuki Suga, Osamu Kawaguchi, Hideaki Senzaki, Katsuya Hata and Barry J. Byrne. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Journal of the American College 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.