Yuichi Tsunoda
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Clinical Biochemistry top 5%
- Nephrology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Isao KubotaNaoki NozakiYasuchika TakeishiYo KoyamaTakanori ArimotoTakeshi NiizekiOsamu HironoTetsuro Shishido
- Topics
- Cardiovascular Function and Risk Factors (5 papers)Cardiac electrophysiology and arrhythmias (5 papers)Nitric Oxide and Endothelin Effects (2 papers)
In The Last Decade
Yuichi Tsunoda
16 papers receiving 435 citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 254
- Molecular Biology 105
- Clinical Biochemistry 85
- Nephrology 84
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Yuichi Tsunoda
This map shows the geographic impact of Yuichi Tsunoda'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 Yuichi Tsunoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Tsunoda more than expected).
Fields of papers citing papers by Yuichi Tsunoda
This network shows the impact of papers produced by Yuichi Tsunoda. 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 Yuichi Tsunoda. The network helps show where Yuichi Tsunoda may publish in the future.
Co-authorship network of co-authors of Yuichi Tsunoda
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Tsunoda. A scholar is included among the top collaborators of Yuichi Tsunoda 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 Yuichi Tsunoda. Yuichi Tsunoda 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 | 30 | |
| 3 | 102 | |
| 4 | Hyperuricemia associated with high cardiac event rates in the elderly with chronic heart failure. | 36 |
| 5 | 71 | |
| 6 | Serum heart-type fatty acid binding protein predicts cardiac events in elderly patients with chronic heart failure. | 14 |
| 7 | 17 | |
| 8 | 49 | |
| 9 | 49 | |
| 10 | 27 | |
| 11 | 16 | |
| 12 | 13 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Comparative accuracy of automated computer analysis versus physicans in training in the interpretation of electrocardiograms. | 17 |
About Yuichi Tsunoda
Yuichi Tsunoda is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Microbiology, having authored 16 papers that have together received 455 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Clinical Biochemistry (85 citations), Nephrology (84 citations) and Cardiology and Cardiovascular Medicine (254 citations). Yuichi Tsunoda has collaborated with scholars based in Japan and Germany. Frequent co-authors include Isao Kubota, Naoki Nozaki, Yasuchika Takeishi, Yo Koyama, Takanori Arimoto, Takeshi Niizeki, Osamu Hirono, Tetsuro Shishido, Joji Nitobe and Tetsu Watanabe. Their work appears in journals such as Circulation, The Journal of Urology and International Journal of Antimicrobial Agents.
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.