Kazuo Tsunoda
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology
- Pulmonary and Respiratory Medicine
- Co-authors
- Ken OmataG P HodsmanSadayoshi ItoKAORU YOSHINAGAShuji ArimaE. SumithranKeishi AbeC. I. Johnston
- Topics
- Hormonal Regulation and Hypertension (17 papers)Renin-Angiotensin System Studies (15 papers)Electrolyte and hormonal disorders (10 papers)
- Partner nations
- JapanAustraliaNew Zealand
In The Last Decade
Kazuo Tsunoda
51 papers receiving 893 citations
Peers
Comparison fields: 5 of 72
- Cardiology and Cardiovascular Medicine 642
- Endocrinology, Diabetes and Metabolism 305
- Molecular Biology 237
- Physiology 144
- Pulmonary and Respiratory Medicine 116
Countries citing papers authored by Kazuo Tsunoda
This map shows the geographic impact of Kazuo 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 Kazuo Tsunoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Tsunoda more than expected).
Fields of papers citing papers by Kazuo Tsunoda
This network shows the impact of papers produced by Kazuo 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 Kazuo Tsunoda. The network helps show where Kazuo Tsunoda may publish in the future.
Co-authorship network of co-authors of Kazuo Tsunoda
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Tsunoda. A scholar is included among the top collaborators of Kazuo 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 Kazuo Tsunoda. Kazuo 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 | [Measurement and evaluation of home blood pressure monitoring with particular emphasis on evaluating anti-hypertensive effects using a home blood pressure distribution diagram]. | 1 |
| 2 | 4 | |
| 3 | 41 | |
| 4 | 141 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 93 | |
| 8 | Maternal and umbilical venous levels of endothelin in women with pre-eclampsia. | 14 |
| 9 | 19 | |
| 10 | 20 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 13 | |
| 17 | 0 | |
| 18 | 9 | |
| 19 | 68 | |
| 20 | 14 |
About Kazuo Tsunoda
Kazuo Tsunoda is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 53 papers that have together received 921 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (17 papers), Renin-Angiotensin System Studies (15 papers) and Electrolyte and hormonal disorders (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (642 citations), Endocrinology, Diabetes and Metabolism (305 citations) and Biochemistry (80 citations). Kazuo Tsunoda has collaborated with scholars based in Japan, Australia and New Zealand. Frequent co-authors include Ken Omata, G P Hodsman, Sadayoshi Ito, KAORU YOSHINAGA, Shuji Arima, E. Sumithran, Keishi Abe, C. I. Johnston, Masahiro Kohzuki and Yoshimi Endo. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Circulation Research.
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.