Takeharu Hayashi
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Cell Biology top 10%
- Cellular and Molecular Neuroscience top 10%
- Epidemiology
- Co-authors
- Akinori KimuraTakuro ArimuraMegumi TakahashiNatsuko InagakiKazuo UedaMichio YasunamiShigeru HohdaMasahiko Hoshijima
- Topics
- Cardiomyopathy and Myosin Studies (23 papers)Cardiovascular Effects of Exercise (10 papers)Muscle Physiology and Disorders (5 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Takeharu Hayashi
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Cardiology and Cardiovascular Medicine 1.1k
- Molecular Biology 1.0k
- Cell Biology 197
- Cellular and Molecular Neuroscience 187
- Epidemiology 78
Countries citing papers authored by Takeharu Hayashi
This map shows the geographic impact of Takeharu Hayashi'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 Takeharu Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeharu Hayashi more than expected).
Fields of papers citing papers by Takeharu Hayashi
This network shows the impact of papers produced by Takeharu Hayashi. 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 Takeharu Hayashi. The network helps show where Takeharu Hayashi may publish in the future.
Co-authorship network of co-authors of Takeharu Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Takeharu Hayashi. A scholar is included among the top collaborators of Takeharu Hayashi 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 Takeharu Hayashi. Takeharu Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 40 | |
| 5 | 21 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 194 | |
| 9 | 15 | |
| 10 | 67 | |
| 11 | 23 | |
| 12 | 73 | |
| 13 | 64 | |
| 14 | 149 | |
| 15 | 19 | |
| 16 | 61 | |
| 17 | 121 | |
| 18 | Genetic risk factors for myocardial infarction in Japanese | 1 |
| 19 | 191 | |
| 20 | DNA-modified Diamond film and its applications for Biosensing | 10 |
About Takeharu Hayashi
Takeharu Hayashi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Internal Medicine, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (23 papers), Cardiovascular Effects of Exercise (10 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Molecular Biology (1.0k citations) and Cell Biology (197 citations). Takeharu Hayashi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Akinori Kimura, Takuro Arimura, Megumi Takahashi, Natsuko Inagaki, Kazuo Ueda, Michio Yasunami, Shigeru Hohda, Masahiko Hoshijima, Mark H. Ellisman and Michael Holst. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Scientific Reports.
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.