En Kimura
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 13
- Virus-based gene therapy research 12
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 8
- Parkinson's Disease Mechanisms and Treatments 6
- Molecular Biology top 10%
- Muscle Physiology and Disorders 44
- Aging top 10%
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- Genetic Neurodegenerative Diseases 18
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- Inflammatory Myopathies and Dermatomyositis 7
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- Viral Infections and Immunology Research 6
- Co-authors
- Satoshi YamashitaMakoto UchinoYasushi MaedaJeffrey S. ChamberlainTeruyuki HiranoB. FallMasatoshi IshizakiMadoka Mori‐Yoshimura
- Cited by
- GeneticsNeurologyMolecular Biology
- Journals
- Neuromuscular Disorders (8 papers)Muscle & Nerve (7 papers)Journal of the Neurological Sciences (6 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
En Kimura
83 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 107
- Genetics 288
- Neurology 259
- Molecular Biology 1.1k
- Aging 24
- Cellular and Molecular Neuroscience 224
Countries citing papers authored by En Kimura
This map shows the geographic impact of En Kimura'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 En Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites En Kimura more than expected).
Fields of papers citing papers by En Kimura
This network shows the impact of papers produced by En Kimura. 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 En Kimura. The network helps show where En Kimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside En Kimura, 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 | 2021 | 3 | |
| 3 | 2020 | 1 | |
| 4 | 2019 | 4 | |
| 5 | 2018 | 31 | |
| 6 | 2018 | 7 | |
| 7 | 2018 | 18 | |
| 8 | 2016 | 31 | |
| 9 | 2015 | 14 | |
| 10 | 2013 | 184 | |
| 11 | 2012 | 16 | |
| 12 | 2012 | 27 | |
| 13 | 2011 | 1 | |
| 14 | 2011 | 7 | |
| 15 | 2010 | 33 | |
| 16 | 2010 | 33 | |
| 17 | 2010 | 11 | |
| 18 | 2010 | 3 | |
| 19 | 2009 | 107 | |
| 20 | 2009 | 55 |
About En Kimura
En Kimura is a scholar working on Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 86 papers that have together received 1.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (44 papers), Genetic Neurodegenerative Diseases (18 papers), Neurogenetic and Muscular Disorders Research (13 papers), Virus-based gene therapy research (12 papers), Amyotrophic Lateral Sclerosis Research (8 papers), Inflammatory Myopathies and Dermatomyositis (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Viral Infections and Immunology Research (6 papers). The work is most often cited by research in Genetics (288 citations), Neurology (259 citations) and Molecular Biology (1.1k citations). En Kimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Satoshi Yamashita, Makoto Uchino, Yasushi Maeda, Jeffrey S. Chamberlain, Teruyuki Hirano, B. Fall, Masatoshi Ishizaki, Madoka Mori‐Yoshimura, Ichizo Nishino and Harumasa Nakamura. Their work appears in journals such as Neuromuscular Disorders, Muscle & Nerve, Journal of the Neurological Sciences, Orphanet Journal of Rare Diseases and PLoS ONE.
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.