Teruhisa Miike
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- Genetic Neurodegenerative Diseases 10
- Neurology top 5%
- Molecular Biology top 5%
- Muscle Physiology and Disorders 41
- Rehabilitation top 5%
- Neurology top 10%
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- Cardiomyopathy and Myosin Studies 13
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- Adipose Tissue and Metabolism 8
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- Metabolism and Genetic Disorders 5
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- Muscle activation and electromyography studies 5
- Advanced Sensor and Energy Harvesting Materials 4
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- Virus-based gene therapy research 4
- Co-authors
- Akemi TomodaKowashi YoshiokaK. EndoFusahiro IkutaOsamu OnoderaA. IshikawaTakafumi HayashiMasaaki Saito
- Journals
- Nature Genetics (1 paper)Annals of Neurology (1 paper)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Teruhisa Miike
60 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 973
- Neurology 365
- Molecular Biology 1.6k
- Rehabilitation 97
- Neurology 100
Countries citing papers authored by Teruhisa Miike
This map shows the geographic impact of Teruhisa Miike'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 Teruhisa Miike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruhisa Miike more than expected).
Fields of papers citing papers by Teruhisa Miike
This network shows the impact of papers produced by Teruhisa Miike. 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 Teruhisa Miike. The network helps show where Teruhisa Miike may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teruhisa Miike, 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 | 2006 | 53 | |
| 2 | 2004 | 25 | |
| 3 | 2000 | 3 | |
| 4 | 1999 | 22 | |
| 5 | 1998 | 20 | |
| 6 | 1997 | 12 | |
| 7 | 1997 | 9 | |
| 8 | 1995 | 30 | |
| 9 | 1994 | 23 | |
| 10 | 1994 | 5 | |
| 11 | 1992 | 21 | |
| 12 | 1991 | 22 | |
| 13 | 1991 | 20 | |
| 14 | 1991 | 59 | |
| 15 | 1989 | 26 | |
| 16 | 1989 | 64 | |
| 17 | 1989 | 55 | |
| 18 | 1988 | 6 | |
| 19 | 1987 | 6 | |
| 20 | 1986 | 3 |
About Teruhisa Miike
Teruhisa Miike is a scholar working on Clinical Biochemistry, Molecular Biology and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (41 papers), Cardiomyopathy and Myosin Studies (13 papers), Genetic Neurodegenerative Diseases (10 papers), Adipose Tissue and Metabolism (8 papers), Metabolism and Genetic Disorders (5 papers), Muscle activation and electromyography studies (5 papers), Virus-based gene therapy research (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (973 citations), Neurology (365 citations) and Molecular Biology (1.6k citations). Teruhisa Miike has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Akemi Tomoda, Kowashi Yoshioka, K. Endo, Fusahiro Ikuta, Osamu Onodera, A. Ishikawa, Takafumi Hayashi, Masaaki Saito, Hitoshi Takahashi and S. Igarashi. Their work appears in journals such as Nature Genetics, Annals of Neurology and Biochemical and Biophysical Research Communications.
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.