Tomoki Suichi
Impact in
- Neurology top 5%
- Peripheral Neuropathies and Disorders
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Botulinum Toxin and Related Neurological Disorders
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- Hereditary Neurological Disorders
Papers in
- Neurology 39
- Peripheral Neuropathies and Disorders 24
- Amyotrophic Lateral Sclerosis Research 9
- Parkinson's Disease Mechanisms and Treatments 5
- Myasthenia Gravis and Thymoma 4
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- Hereditary Neurological Disorders 6
- Genetic Neurodegenerative Diseases 3
- Co-authors
- Satoshi Kuwabara (42 shared papers)Kazumoto Shibuya (35 shared papers)Keigo Nakamura (21 shared papers)Sonoko Misawa (16 shared papers)Yukari Sekiguchi (17 shared papers)Sonoko Misawa (20 shared papers)Minako Beppu (7 shared papers)Hiroshi Amino (10 shared papers)
In The Last Decade
Tomoki Suichi
39 papers receiving 272 citations
Peers
Comparison fields: 5 of 43
- Neurology 205
- Neurology 29
- Cellular and Molecular Neuroscience 58
- Genetics 19
- Hematology 20
Countries citing papers authored by Tomoki Suichi
This map shows the geographic impact of Tomoki Suichi'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 Tomoki Suichi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoki Suichi more than expected).
Fields of papers citing papers by Tomoki Suichi
This network shows the impact of papers produced by Tomoki Suichi. 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 Tomoki Suichi. The network helps show where Tomoki Suichi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoki Suichi, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 48 | |
| 2 | 2018 | 34 | |
| 3 | 2020 | 21 | |
| 4 | 2018 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2015 | 17 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 3 |
About Tomoki Suichi
Tomoki Suichi is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Hematology and Genetics, having authored 46 papers that have together received 277 indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (24 papers), Amyotrophic Lateral Sclerosis Research (9 papers), Hereditary Neurological Disorders (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Myasthenia Gravis and Thymoma (4 papers), Multiple Myeloma Research and Treatments (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Neurology (205 citations), Neurology (29 citations), Cellular and Molecular Neuroscience (58 citations), Genetics (19 citations) and Hematology (20 citations). Tomoki Suichi has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include Satoshi Kuwabara, Kazumoto Shibuya, Keigo Nakamura, Sonoko Misawa, Yukari Sekiguchi, Sonoko Misawa, Minako Beppu, Hiroshi Amino, Yasunori Sato and Yuta Kojima. Their work appears in journals such as Journal of the Neurological Sciences, Muscle & Nerve, Journal of Neurology Neurosurgery & Psychiatry, Neurology and BMC Neurology.
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.