En Kimura
Impact in
Papers in
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- Muscle Physiology and Disorders 44
-
- Genetic Neurodegenerative Diseases 18
- Co-authors
- Satoshi Yamashita (36 shared papers)Makoto Uchino (28 shared papers)Yasushi Maeda (26 shared papers)Jeffrey S. Chamberlain (8 shared papers)Teruyuki Hirano (22 shared papers)B. Fall (5 shared papers)Masatoshi Ishizaki (11 shared papers)Madoka Mori‐Yoshimura (11 shared papers)
- Journals
- Neuromuscular Disorders (8 papers)Muscle & Nerve (7 papers)Journal of the Neurological Sciences (6 papers)Orphanet Journal of Rare Diseases (5 papers)PLoS ONE (4 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-authors
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
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 184 | |
| 2 | 2009 | 107 | |
| 3 | 2005 | 71 | |
| 4 | 2018 | 70 | |
| 5 | 2008 | 65 | |
| 6 | 2009 | 55 | |
| 7 | 2013 | 55 | |
| 8 | 2008 | 53 | |
| 9 | 2013 | 47 | |
| 10 | 2016 | 45 | |
| 11 | 2006 | 42 | |
| 12 | 2014 | 39 | |
| 13 | 2017 | 38 | |
| 14 | 2010 | 33 | |
| 15 | 2010 | 33 | |
| 16 | 2011 | 33 | |
| 17 | 2018 | 31 | |
| 18 | 2016 | 31 | |
| 19 | 2016 | 28 | |
| 20 | 2013 | 28 |
About En Kimura
En Kimura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Genetics, 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), Viral Infections and Immunology Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Genetics (288 citations), Neurology (259 citations), Molecular Biology (1.1k citations), Aging (24 citations) and Cellular and Molecular Neuroscience (224 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, Harumasa Nakamura and Ichizo Nishino. 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.