Makoto Sonoda
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Surgery
- Pulmonary and Respiratory Medicine
- Epidemiology
- Co-authors
- Katsu TakenakaRyozo NagaiTeruhiko AoyagiKatsunori YonekuraKansei UnoSeiryo SugiuraMasataka SataMary L. Hixon
- Topics
- Cardiovascular Function and Risk Factors (10 papers)Cardiac Valve Diseases and Treatments (7 papers)Cardiac Imaging and Diagnostics (5 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Makoto Sonoda
31 papers receiving 349 citations
Peers
Comparison fields: 5 of 70
- Cardiology and Cardiovascular Medicine 227
- Molecular Biology 81
- Surgery 77
- Pulmonary and Respiratory Medicine 65
- Epidemiology 36
Countries citing papers authored by Makoto Sonoda
This map shows the geographic impact of Makoto Sonoda'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 Makoto Sonoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Sonoda more than expected).
Fields of papers citing papers by Makoto Sonoda
This network shows the impact of papers produced by Makoto Sonoda. 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 Makoto Sonoda. The network helps show where Makoto Sonoda may publish in the future.
Co-authorship network of co-authors of Makoto Sonoda
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Sonoda. A scholar is included among the top collaborators of Makoto Sonoda 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 Makoto Sonoda. Makoto Sonoda 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 | 8 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | OJ-389 Newly Developed Harmonic Tissue Strain Imaging Can Visualize Left Ventricular Transmural Myocardial Strain Gradient(Echo/Doppler 13 (I) : OJ47)(Oral Presentation (Japanese)) | 0 |
| 9 | 4 | |
| 10 | 32 | |
| 11 | 12 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | Anthracycline-induced cardiomyopathies evaluated by tissue Doppler tracking system and strain rate imaging. | 17 |
| 15 | 12 | |
| 16 | 62 | |
| 17 | 2 | |
| 18 | [Dobutamine stress causes left ventricular outflow tract obstruction]. | 9 |
| 19 | 1 | |
| 20 | 5 |
About Makoto Sonoda
Makoto Sonoda is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 363 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Cardiac Valve Diseases and Treatments (7 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (227 citations), Pulmonary and Respiratory Medicine (65 citations) and Surgery (77 citations). Makoto Sonoda has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Katsu Takenaka, Ryozo Nagai, Teruhiko Aoyagi, Katsunori Yonekura, Kansei Uno, Seiryo Sugiura, Masataka Sata, Mary L. Hixon, Mark W. Wagner and Yoko Eto. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The FASEB Journal.
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.