Kazuo Takeda
- Biomedical Engineering top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Global and Planetary Change top 10%
- Co-authors
- Kenji YasudaKoichi IinoyaShin-ichiro UmemuraThuan ChuXulin GuoSusumu SasakiHiroh ShibaokaMasao Nakagawa
- Topics
- Microfluidic and Bio-sensing Technologies (10 papers)Climate change and permafrost (8 papers)Cryospheric studies and observations (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrine and Autonomic SystemsBiomedical Engineering
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Kazuo Takeda
94 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 158
- Biomedical Engineering 282
- Cardiology and Cardiovascular Medicine 244
- Molecular Biology 216
- Electrical and Electronic Engineering 141
- Global and Planetary Change 134
Countries citing papers authored by Kazuo Takeda
This map shows the geographic impact of Kazuo Takeda'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 Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Takeda more than expected).
Fields of papers citing papers by Kazuo Takeda
This network shows the impact of papers produced by Kazuo Takeda. 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 Takeda. The network helps show where Kazuo Takeda may publish in the future.
Co-authorship network of co-authors of Kazuo Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Takeda. A scholar is included among the top collaborators of Kazuo Takeda 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 Takeda. Kazuo Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 37 | |
| 16 | 12 | |
| 17 | Growth Condition of an Ice Layer in Frozen Soils Under Applied Loads. 2. Analysis. | 1 |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 3 |
About Kazuo Takeda
Kazuo Takeda is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Biochemistry, having authored 103 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (10 papers), Climate change and permafrost (8 papers) and Cryospheric studies and observations (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (244 citations), Endocrine and Autonomic Systems (63 citations) and Biomedical Engineering (282 citations). Kazuo Takeda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kenji Yasuda, Koichi Iinoya, Shin-ichiro Umemura, Thuan Chu, Xulin Guo, Susumu Sasaki, Hiroh Shibaoka, Masao Nakagawa, Tetsuo Nakata and Chaturong Yongsiri. Their work appears in journals such as Stroke, Hypertension and The Journal of the Acoustical Society of America.
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.