Shigeaki Suzuki
- Neurology top 0.5%
- Myasthenia Gravis and Thymoma 65
- Peripheral Neuropathies and Disorders 42
- Parkinson's Disease and Spinal Disorders 26
- Autoimmune Neurological Disorders and Treatments 14
- Neurology top 0.5%
- Myasthenia Gravis and Thymoma 65
- Peripheral Neuropathies and Disorders 42
- Parkinson's Disease and Spinal Disorders 26
- Autoimmune Neurological Disorders and Treatments 14
- Developmental Neuroscience top 1%
- Epidemiology top 2%
- Inflammatory Myopathies and Dermatomyositis 47
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- Muscle Physiology and Disorders 20
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- Antifungal resistance and susceptibility 19
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- Eosinophilic Disorders and Syndromes 14
- Co-authors
- Norihiro SuzukiKortaro TanakaTomohisa DemboYasuo FukuuchiDaisuke ItoIchizo NishinoKimiaki UtsugisawaShigeru Nogawa
- Cited by
- NeurologyDevelopmental Neuroscience
In The Last Decade
Shigeaki Suzuki
155 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Neurology 1.7k
- Neurology 931
- Developmental Neuroscience 334
- Epidemiology 1.5k
- Cellular and Molecular Neuroscience 632
Countries citing papers authored by Shigeaki Suzuki
This map shows the geographic impact of Shigeaki Suzuki'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 Shigeaki Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeaki Suzuki more than expected).
Fields of papers citing papers by Shigeaki Suzuki
This network shows the impact of papers produced by Shigeaki Suzuki. 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 Shigeaki Suzuki. The network helps show where Shigeaki Suzuki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shigeaki Suzuki, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 16 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 0 | |
| 10 | 2020 | 26 | |
| 11 | 2019 | 37 | |
| 12 | 2018 | 53 | |
| 13 | 2018 | 29 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 108 | |
| 16 | 2016 | 222 | |
| 17 | 2015 | 73 | |
| 18 | 2014 | 13 | |
| 19 | 2002 | 11 | |
| 20 | [A case of pure red cell aplasia appearing after thymectomy]. | 1991 | 1 |
About Shigeaki Suzuki
Shigeaki Suzuki is a scholar working on Neurology, Neurology and Epidemiology, having authored 164 papers that have together received 4.9k indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (65 papers), Inflammatory Myopathies and Dermatomyositis (47 papers), Peripheral Neuropathies and Disorders (42 papers), Parkinson's Disease and Spinal Disorders (26 papers), Muscle Physiology and Disorders (20 papers), Antifungal resistance and susceptibility (19 papers), Autoimmune Neurological Disorders and Treatments (14 papers) and Eosinophilic Disorders and Syndromes (14 papers). The work is most often cited by research in Neurology (1.7k citations), Neurology (931 citations) and Developmental Neuroscience (334 citations). Shigeaki Suzuki has collaborated with scholars based in Japan, Germany and Italy. Frequent co-authors include Norihiro Suzuki, Kortaro Tanaka, Tomohisa Dembo, Yasuo Fukuuchi, Daisuke Ito, Ichizo Nishino, Kimiaki Utsugisawa, Shigeru Nogawa, Yuriko Nagane and Arifumi Kosakai. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Journal of Neuroimmunology, Neurology, Neuromuscular Disorders and Muscle & Nerve.
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.