Jun Sone
Impact in
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
- Neurological diseases and metabolism
-
- Genetic Neurodegenerative Diseases
Papers in
-
- Genetic Neurodegenerative Diseases 37
- Hereditary Neurological Disorders 3
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- Mitochondrial Function and Pathology 18
- RNA regulation and disease 11
- 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)Manabu Doyu (4 shared papers)Jun‐ichi Niwa (4 shared papers)
- Journals
- Neurology (3 papers)Brain Pathology (3 papers)Journal of Biological Chemistry (3 papers)Clinical Neuropathology (2 papers)Neuropathology (2 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Jun Sone
51 papers receiving 955 citations
Peers
Comparison fields: 5 of 69
- Neurology 452
- Cellular and Molecular Neuroscience 499
- Neurology 118
- Genetics 114
- Molecular Biology 594
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 142 | |
| 2 | 2007 | 136 | |
| 3 | 2009 | 83 | |
| 4 | 2021 | 79 | |
| 5 | 2016 | 53 | |
| 6 | 2005 | 49 | |
| 7 | 1994 | 38 | |
| 8 | 2012 | 34 | |
| 9 | 2006 | 31 | |
| 10 | 2020 | 24 | |
| 11 | 2016 | 23 | |
| 12 | 2021 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2009 | 19 | |
| 15 | 2001 | 18 | |
| 16 | 2022 | 17 | |
| 17 | 2014 | 15 | |
| 18 | 2017 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2006 | 10 |
About Jun Sone
Jun Sone is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Neurology and Physiology, having authored 54 papers that have together received 964 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (37 papers), Mitochondrial Function and Pathology (18 papers), Parkinson's Disease Mechanisms and Treatments (15 papers), RNA regulation and disease (11 papers), Amyotrophic Lateral Sclerosis Research (8 papers), Neurological diseases and metabolism (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Hereditary Neurological Disorders (3 papers). The work is most often cited by research in Neurology (452 citations), Cellular and Molecular Neuroscience (499 citations), Neurology (118 citations), Genetics (114 citations) and Molecular Biology (594 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, Manabu Doyu, Jun‐ichi Niwa, Shin‐ichi Yamada and Haruki Koike. Their work appears in journals such as Neurology, Brain Pathology, Journal of Biological Chemistry, Clinical Neuropathology and 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.