Satoshi Suda
Impact in
- Developmental Neuroscience top 5%
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Neurology 28
- Intracerebral and Subarachnoid Hemorrhage Research 13
- Traumatic Brain Injury and Neurovascular Disturbances 9
- Epidemiology 28
- Acute Ischemic Stroke Management 25
- Co-authors
- Kazumi Kimura (67 shared papers)Chikako Nito (32 shared papers)Ichiro INASAKI (9 shared papers)Yuki Sakamoto (43 shared papers)Yasuhiro Nishiyama (36 shared papers)Yasuo Katayama (18 shared papers)Kentaro Suzuki (45 shared papers)Masayuki Ueda (16 shared papers)
- Journals
- Journal of the Neurological Sciences (19 papers)Journal of Stroke and Cerebrovascular Diseases (10 papers)CIRP Annals (5 papers)Life Sciences (4 papers)Circulation Journal (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Satoshi Suda
137 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 121
- Developmental Neuroscience 112
- Genetics 276
- Neurology 191
- Neurology 208
- Internal Medicine 33
Countries citing papers authored by Satoshi Suda
This map shows the geographic impact of Satoshi Suda'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 Satoshi Suda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Suda more than expected).
Fields of papers citing papers by Satoshi Suda
This network shows the impact of papers produced by Satoshi Suda. 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 Satoshi Suda. The network helps show where Satoshi Suda may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Suda, 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 130 | |
| 2 | 2017 | 119 | |
| 3 | 2008 | 90 | |
| 4 | 2001 | 84 | |
| 5 | 2013 | 74 | |
| 6 | 2002 | 70 | |
| 7 | 2017 | 62 | |
| 8 | 2020 | 58 | |
| 9 | 2018 | 46 | |
| 10 | 2003 | 43 | |
| 11 | 2007 | 39 | |
| 12 | 2018 | 37 | |
| 13 | 2016 | 34 | |
| 14 | 2022 | 29 | |
| 15 | 2013 | 29 | |
| 16 | 2018 | 29 | |
| 17 | 1985 | 28 | |
| 18 | 2005 | 28 | |
| 19 | 2004 | 26 | |
| 20 | 2018 | 26 |
About Satoshi Suda
Satoshi Suda is a scholar working on Neurology, Epidemiology, Mechanical Engineering, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 156 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (25 papers), Advanced machining processes and optimization (21 papers), Intracerebral and Subarachnoid Hemorrhage Research (13 papers), Atrial Fibrillation Management and Outcomes (13 papers), Advanced Machining and Optimization Techniques (11 papers), Advanced Surface Polishing Techniques (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Mesenchymal stem cell research (9 papers). The work is most often cited by research in Developmental Neuroscience (112 citations), Genetics (276 citations), Neurology (191 citations), Neurology (208 citations) and Internal Medicine (33 citations). Satoshi Suda has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazumi Kimura, Chikako Nito, Ichiro INASAKI, Yuki Sakamoto, Yasuhiro Nishiyama, Yasuo Katayama, Kentaro Suzuki, Masayuki Ueda, T. Wakabayashi and Junya Aoki. Their work appears in journals such as Journal of the Neurological Sciences, Journal of Stroke and Cerebrovascular Diseases, CIRP Annals, Life Sciences and Circulation Journal.
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.