Takuzo Hano
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Physiology top 5%
- Surgery top 10%
- Co-authors
- Ichiro NishioToshio ImanishiTakashi UeyamaYoshihiro TsuruoKen KasamatsuTatsuya SawamuraFuminobu IshikuraYoshiaki Masuyama
- Topics
- Heart Rate Variability and Autonomic Control (10 papers)Angiogenesis and VEGF in Cancer (9 papers)Hormonal Regulation and Hypertension (8 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Takuzo Hano
73 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 102
- Cardiology and Cardiovascular Medicine 1.1k
- Molecular Biology 847
- Radiology, Nuclear Medicine and Imaging 461
- Physiology 417
- Surgery 409
Countries citing papers authored by Takuzo Hano
This map shows the geographic impact of Takuzo Hano'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 Takuzo Hano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuzo Hano more than expected).
Fields of papers citing papers by Takuzo Hano
This network shows the impact of papers produced by Takuzo Hano. 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 Takuzo Hano. The network helps show where Takuzo Hano may publish in the future.
Co-authorship network of co-authors of Takuzo Hano
This figure shows the co-authorship network connecting the top 25 collaborators of Takuzo Hano. A scholar is included among the top collaborators of Takuzo Hano 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 Takuzo Hano. Takuzo Hano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | [Improvement of adherence in the treatment of hypertension]. | 3 |
| 4 | 19 | |
| 5 | 19 | |
| 6 | 107 | |
| 7 | 48 | |
| 8 | 200 | |
| 9 | 182 | |
| 10 | 99 | |
| 11 | 153 | |
| 12 | 44 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 16 | |
| 20 | Changes in renal .ALPHA.2-adrenoceptor in experimental hypertension in rats. | 1 |
About Takuzo Hano
Takuzo Hano is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 75 papers that have together received 2.4k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (10 papers), Angiogenesis and VEGF in Cancer (9 papers) and Hormonal Regulation and Hypertension (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Aging (39 citations) and Radiology, Nuclear Medicine and Imaging (461 citations). Takuzo Hano has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Ichiro Nishio, Toshio Imanishi, Takashi Ueyama, Yoshihiro Tsuruo, Ken Kasamatsu, Tatsuya Sawamura, Fuminobu Ishikura, Yoshiaki Masuyama, Tetsuya Kawabe and Yoshiki Matsuo. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Brain 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.