Eijiro Ozawa
Impact in
- Rehabilitation top 1%
- Exercise and Physiological Responses
- Cell Biology top 1%
- Muscle metabolism and nutrition
Papers in
-
- Exercise and Physiological Responses 8
-
- Muscle Physiology and Disorders 62
- RNA Research and Splicing 10
- Co-authors
- Mikiharu YoshidaYuji MizunoYasuko HagiwaraS. NoguchiIkuya NonakaAtsushi SuzukiLouis M. KunkelKensuke Hayashi
- Journals
- Proceedings of the Japan Academy Series B (14 papers)Development Growth & Differentiation (12 papers)Muscle & Nerve (8 papers)The Journal of Biochemistry (7 papers)FEBS Letters (4 papers)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Eijiro Ozawa
98 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Rehabilitation 454
- Cell Biology 1.1k
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 4.1k
- Cardiology and Cardiovascular Medicine 943
Countries citing papers authored by Eijiro Ozawa
This map shows the geographic impact of Eijiro Ozawa'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 Eijiro Ozawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eijiro Ozawa more than expected).
Fields of papers citing papers by Eijiro Ozawa
This network shows the impact of papers produced by Eijiro Ozawa. 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 Eijiro Ozawa. The network helps show where Eijiro Ozawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Eijiro Ozawa, 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 | 2020 | 0 | |
| 2 | 2020 | 2 | |
| 3 | 2005 | 108 | |
| 4 | 2003 | 30 | |
| 5 | 2001 | 10 | |
| 6 | 1999 | 34 | |
| 7 | 1998 | 281 | |
| 8 | 1998 | 197 | |
| 9 | 1994 | 187 | |
| 10 | 1993 | 68 | |
| 11 | Immunostaining of skeletal and cardiac muscle surface membrane with antibody against Duchenne muscular dystrophy peptide Hit paper breakdown → | 1988 | 500 |
| 12 | 1985 | 6 | |
| 13 | 1985 | 6 | |
| 14 | 1983 | 5 | |
| 15 | 1982 | 17 | |
| 16 | 1982 | 16 | |
| 17 | 1982 | 37 | |
| 18 | 1981 | 13 | |
| 19 | 1978 | 13 | |
| 20 | 1977 | 10 |
About Eijiro Ozawa
Eijiro Ozawa is a scholar working on Rehabilitation, Molecular Biology, Cell Biology, Animal Science and Zoology and Cellular and Molecular Neuroscience, having authored 99 papers that have together received 4.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (62 papers), Adipose Tissue and Metabolism (14 papers), Cardiomyopathy and Myosin Studies (12 papers), Animal Genetics and Reproduction (12 papers), RNA Research and Splicing (10 papers), Genetic Neurodegenerative Diseases (10 papers), Exercise and Physiological Responses (8 papers) and Muscle metabolism and nutrition (6 papers). The work is most often cited by research in Rehabilitation (454 citations), Cell Biology (1.1k citations), Cellular and Molecular Neuroscience (1.1k citations), Molecular Biology (4.1k citations) and Cardiology and Cardiovascular Medicine (943 citations). Eijiro Ozawa has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Mikiharu Yoshida, Yuji Mizuno, Yasuko Hagiwara, S. Noguchi, Ikuya Nonaka, Atsushi Suzuki, Louis M. Kunkel, Kensuke Hayashi, Kiichi Arahata and Emanuela Gussoni. Their work appears in journals such as Proceedings of the Japan Academy Series B, Development Growth & Differentiation, Muscle & Nerve, The Journal of Biochemistry and FEBS Letters.
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.