Hajime Takano
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 19
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Developmental Neuroscience top 1%
- Biological Psychiatry top 2%
- Physiology top 0.5%
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- Force Microscopy Techniques and Applications 18
- Mechanical and Optical Resonators 13
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- Cardiac Imaging and Diagnostics 9
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- Coronary Interventions and Diagnostics 9
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- Innovations in Concrete and Construction Materials 9
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- Web Data Mining and Analysis 7
- Co-authors
- Philip G. HaydonDouglas A. CoulterMasamichi FujihiraMichael M. HalassaTommaso FellinRené M. OverneyStephen J. MossOlivier Pascual
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Hajime Takano
131 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cellular and Molecular Neuroscience 2.3k
- Neurology 1.0k
- Developmental Neuroscience 454
- Biological Psychiatry 198
- Physiology 317
Countries citing papers authored by Hajime Takano
This map shows the geographic impact of Hajime Takano'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 Hajime Takano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Takano more than expected).
Fields of papers citing papers by Hajime Takano
This network shows the impact of papers produced by Hajime Takano. 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 Hajime Takano. The network helps show where Hajime Takano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hajime Takano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 13 | |
| 6 | 2019 | 78 | |
| 7 | 2017 | 66 | |
| 8 | 2014 | 122 | |
| 9 | 2013 | 30 | |
| 10 | 2013 | 6 | |
| 11 | Employment of concentrated-hardsphere-suspension pad for V-bending of thin strip | 2008 | 2 |
| 12 | 2008 | 1 | |
| 13 | 2005 | 65 | |
| 14 | 2005 | 72 | |
| 15 | 2001 | 1 | |
| 16 | 2000 | 1 | |
| 17 | 1997 | 5 | |
| 18 | ASSISTED CIRCULATION CRITICAL CARE FOR ACUTE PROFOUND HEART FAILURE | 1997 | 1 |
| 19 | 1986 | 2 | |
| 20 | 1984 | 1 |
About Hajime Takano
Hajime Takano is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 136 papers that have together received 6.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Force Microscopy Techniques and Applications (18 papers), Mechanical and Optical Resonators (13 papers), Cardiac Imaging and Diagnostics (9 papers), Coronary Interventions and Diagnostics (9 papers), Innovations in Concrete and Construction Materials (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Neurology (1.0k citations) and Developmental Neuroscience (454 citations). Hajime Takano has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Philip G. Haydon, Douglas A. Coulter, Masamichi Fujihira, Michael M. Halassa, Tommaso Fellin, René M. Overney, Stephen J. Moss, Olivier Pascual, Cathryn Kubera and Ken D. McCarthy. Their work appears in journals such as Nature, Science and Chemical Reviews.
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.