Jun Kimura
- Neurology top 0.1%
- Neurological disorders and treatments 41
- Parkinson's Disease Mechanisms and Treatments 27
- Transcranial Magnetic Stimulation Studies 22
- Neurology top 0.05%
- Neurological disorders and treatments 41
- Parkinson's Disease Mechanisms and Treatments 27
- Transcranial Magnetic Stimulation Studies 22
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neuropharmacology Research 42
- Neuroscience and Neural Engineering 25
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces 26
- Developmental Neuroscience top 1%
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- Alzheimer's disease research and treatments 30
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- Peripheral Nerve Disorders 22
- Co-authors
- Ichiro AkiguchiThoru YamadaShun ShimohamaRyuji KajiHidenao FukuyamaHiroshi ShibasakiHiroshi YamauchiHideaki Wakita
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Jun Kimura
391 papers receiving 17.9k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Neurology 3.4k
- Neurology 6.2k
- Cellular and Molecular Neuroscience 5.5k
- Cognitive Neuroscience 2.4k
- Developmental Neuroscience 437
Countries citing papers authored by Jun Kimura
This map shows the geographic impact of Jun 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 Jun Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kimura more than expected).
Fields of papers citing papers by Jun Kimura
This network shows the impact of papers produced by Jun 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 Jun Kimura. The network helps show where Jun Kimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun 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 | 2024 | 0 | |
| 2 | 2019 | 131 | |
| 3 | 2013 | 0 | |
| 4 | 2009 | 51 | |
| 5 | Effect of sustained volitional muscle relaxation on the excitability of the anterior horn cells : Comparison between the F wave and transcranial motor evoked potential (MEP) | 2004 | 7 |
| 6 | 1999 | 113 | |
| 7 | 1998 | 62 | |
| 8 | 1998 | 11 | |
| 9 | 1998 | 122 | |
| 10 | 1996 | 26 | |
| 11 | 1996 | 34 | |
| 12 | 1996 | 23 | |
| 13 | 1996 | 17 | |
| 14 | 1994 | 66 | |
| 15 | 1993 | 1 | |
| 16 | 1993 | 20 | |
| 17 | 1992 | 9 | |
| 18 | 1992 | 1 | |
| 19 | 1991 | 4 | |
| 20 | 1988 | 7 |
About Jun Kimura
Jun Kimura is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 401 papers that have together received 18.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (42 papers), Neurological disorders and treatments (41 papers), Alzheimer's disease research and treatments (30 papers), Parkinson's Disease Mechanisms and Treatments (27 papers), EEG and Brain-Computer Interfaces (26 papers), Neuroscience and Neural Engineering (25 papers), Transcranial Magnetic Stimulation Studies (22 papers) and Peripheral Nerve Disorders (22 papers). The work is most often cited by research in Neurology (3.4k citations), Neurology (6.2k citations) and Cellular and Molecular Neuroscience (5.5k citations). Jun Kimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Ichiro Akiguchi, Thoru Yamada, Shun Shimohama, Ryuji Kaji, Hidenao Fukuyama, Hiroshi Shibasaki, Hiroshi Yamauchi, Hideaki Wakita, Masafumi Machida and Hidekazu Tomimoto. Their work appears in journals such as Neurology, Muscle & Nerve, Brain Research, Acta Neuropathologica and Stroke.
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.