Jun Sone
Impact in
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
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- Genetic Neurodegenerative Diseases
Papers in
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- Genetic Neurodegenerative Diseases 36
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- Mitochondrial Function and Pathology 14
- RNA regulation and disease 8
- Ubiquitin and proteasome pathways 4
- Co-authors
- Gen Sobue (25 shared papers)Masahisa Katsuno (9 shared papers)Fumiaki Tanaka (9 shared papers)Mari Yoshida (13 shared papers)Shinsuke Ishigaki (6 shared papers)Hirohisa Watanabe (4 shared papers)Jun‐ichi Niwa (4 shared papers)Manabu Doyu (4 shared papers)
- Journals
- Neurology (3 papers)Brain Pathology (3 papers)Journal of Biological Chemistry (3 papers)Neuropathology (2 papers)Clinical Neuropathology (2 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Jun Sone
53 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 72
- Neurology 387
- Cellular and Molecular Neuroscience 501
- Genetics 113
- Neurology 90
- Molecular Biology 477
Countries citing papers authored by Jun Sone
This map shows the geographic impact of Jun Sone'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 Sone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sone more than expected).
Fields of papers citing papers by Jun Sone
This network shows the impact of papers produced by Jun Sone. 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 Sone. The network helps show where Jun Sone may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sone, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 151 | |
| 2 | 2007 | 141 | |
| 3 | 2021 | 86 | |
| 4 | 2009 | 84 | |
| 5 | 2016 | 54 | |
| 6 | 2005 | 52 | |
| 7 | 1994 | 38 | |
| 8 | 2012 | 37 | |
| 9 | 1991 | 35 | |
| 10 | 2006 | 35 | |
| 11 | 2020 | 26 | |
| 12 | 2016 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2022 | 22 | |
| 15 | 2001 | 21 | |
| 16 | 2009 | 19 | |
| 17 | 2022 | 17 | |
| 18 | 2014 | 15 | |
| 19 | 2017 | 14 | |
| 20 | 2021 | 12 |
About Jun Sone
Jun Sone is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Genetics and Neurology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (36 papers), Mitochondrial Function and Pathology (14 papers), Parkinson's Disease Mechanisms and Treatments (12 papers), Amyotrophic Lateral Sclerosis Research (8 papers), RNA regulation and disease (8 papers), Genetics and Neurodevelopmental Disorders (5 papers), Ubiquitin and proteasome pathways (4 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Neurology (387 citations), Cellular and Molecular Neuroscience (501 citations), Genetics (113 citations), Neurology (90 citations) and Molecular Biology (477 citations). Jun Sone has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Gen Sobue, Masahisa Katsuno, Fumiaki Tanaka, Mari Yoshida, Shinsuke Ishigaki, Hirohisa Watanabe, Jun‐ichi Niwa, Manabu Doyu, Haruki Koike and Shin‐ichi Yamada. Their work appears in journals such as Neurology, Brain Pathology, Journal of Biological Chemistry, Neuropathology and Clinical Neuropathology.
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.