Y Ozawa
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Nephrology top 10%
- Physiology
- Co-authors
- Takahiko NagahamaTsuneo TakenakaTakao SarutaYuji KasamakiYasuhiko IzumiYuki SuzakiElisabeth J. CohenHiroyuki Kobori
- Topics
- Blood Pressure and Hypertension Studies (5 papers)Renin-Angiotensin System Studies (4 papers)Cardiac electrophysiology and arrhythmias (3 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Y Ozawa
17 papers receiving 355 citations
Peers
Comparison fields: 5 of 67
- Cardiology and Cardiovascular Medicine 219
- Endocrinology, Diabetes and Metabolism 92
- Molecular Biology 87
- Nephrology 55
- Physiology 45
Countries citing papers authored by Y Ozawa
This map shows the geographic impact of Y Ozawa'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 Y Ozawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y Ozawa more than expected).
Fields of papers citing papers by Y Ozawa
This network shows the impact of papers produced by Y Ozawa. 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 Y Ozawa. The network helps show where Y Ozawa may publish in the future.
Co-authorship network of co-authors of Y Ozawa
This figure shows the co-authorship network connecting the top 25 collaborators of Y Ozawa. A scholar is included among the top collaborators of Y Ozawa 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 Y Ozawa. Y Ozawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 62 | |
| 3 | 75 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 44 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 48 | |
| 11 | 28 | |
| 12 | Assessment of plaque rupture by intravascular ultrasound. | 11 |
| 13 | 1 | |
| 14 | [The clinical role of anaerobic threshold in physical training of patients with recent myocardial infarction]. | 5 |
| 15 | Effects of the thromboxane A2 analogue, STA2, on the transmembrane potentials of guinea pig ventricular muscles under normal and simulated ischaemic conditions. | 1 |
| 16 | Sequence of mechanical and electrical changes during myocardial ischemia: assessment by an ambulatory left ventricular function monitor. | 0 |
| 17 | [Measurements of interstitial myocardial K+ with K+-sensitive electrodes]. | 2 |
| 18 | 15 |
About Y Ozawa
Y Ozawa is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 18 papers that have together received 362 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (5 papers), Renin-Angiotensin System Studies (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (219 citations), Nephrology (55 citations) and Endocrinology, Diabetes and Metabolism (92 citations). Y Ozawa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Takahiko Nagahama, Tsuneo Takenaka, Takao Saruta, Yuji Kasamaki, Yasuhiko Izumi, Yuki Suzaki, Elisabeth J. Cohen, Hiroyuki Kobori, Akira Nishiyama and M Ohta. Their work appears in journals such as Kidney International, Metabolism and Journal of Hypertension.
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.