Jun Sawada
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
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- Neurogenetic and Muscular Disorders Research
Papers in
- Neurology 16
- Parkinson's Disease Mechanisms and Treatments 4
- Amyotrophic Lateral Sclerosis Research 3
- Intracerebral and Subarachnoid Hemorrhage Research 3
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- Inflammatory Myopathies and Dermatomyositis 3
- Acute Ischemic Stroke Management 3
- Co-authors
- Takayuki Katayama (27 shared papers)Naoyuki Hasebe (27 shared papers)Tsukasa Saito (23 shared papers)Osamu Yahara (5 shared papers)Hitoshi Aizawa (9 shared papers)Kohei Kano (14 shared papers)Takenari Yamashita (2 shared papers)Shin Kwak (2 shared papers)
In The Last Decade
Jun Sawada
38 papers receiving 568 citations
Peers
Comparison fields: 5 of 75
- Neurology 192
- Genetics 58
- Neurology 28
- Cardiology and Cardiovascular Medicine 56
- Physiology 64
Countries citing papers authored by Jun Sawada
This map shows the geographic impact of Jun Sawada'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 Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sawada more than expected).
Fields of papers citing papers by Jun Sawada
This network shows the impact of papers produced by Jun Sawada. 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 Sawada. The network helps show where Jun Sawada may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sawada, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 98 | |
| 2 | 2018 | 49 | |
| 3 | 2015 | 35 | |
| 4 | 2020 | 31 | |
| 5 | 2014 | 30 | |
| 6 | 2017 | 28 | |
| 7 | 2018 | 25 | |
| 8 | 2012 | 25 | |
| 9 | 2023 | 23 | |
| 10 | 2016 | 22 | |
| 11 | 2009 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2023 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2017 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2019 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 8 |
About Jun Sawada
Jun Sawada is a scholar working on Neurology, Epidemiology, Physiology, Molecular Biology and Pathology and Forensic Medicine, having authored 41 papers that have together received 573 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Lysosomal Storage Disorders Research (3 papers), RNA regulation and disease (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Neurology (192 citations), Genetics (58 citations), Neurology (28 citations), Cardiology and Cardiovascular Medicine (56 citations) and Physiology (64 citations). Jun Sawada has collaborated with scholars based in Japan, Germany and Finland. Frequent co-authors include Takayuki Katayama, Naoyuki Hasebe, Tsukasa Saito, Osamu Yahara, Hitoshi Aizawa, Kohei Kano, Takenari Yamashita, Shin Kwak, Takuto Hideyama and Takashi Kimura. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Stem Cell Research, Polymer, Medicine and Neurological Sciences.
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.