Satoshi Suda

2.7k citations
151 papers · 1.9k · h-index 24

Impact in

Papers in

    • Acute Ischemic Stroke Management 54
    • Intracerebral and Subarachnoid Hemorrhage Research 15
    • Traumatic Brain Injury and Neurovascular Disturbances 13

Satoshi Suda

134 papers receiving 1.8k citations

Peers

Satoshi Suda
Comparison fields: 5 of 124
  • Developmental Neuroscience 128
  • Neurology 248
  • Genetics 295
  • Internal Medicine 102
  • Neurology 263
Replace Hiroshi Sugimori with:
Hiroshi Sugimori Japan
Jian‐Ren Liu China
Tae‐Hee Cho France
Chang­hong Ren China
Yuichi Hoshino Japan
Nils P. Hailer Sweden
Yasuharu Nakashima Japan
Hiroshi Hasegawa Japan
Keisuke Tsutsumi Japan
Udo Losert Austria
Satoshi Suda relative to Hiroshi Sugimori Japan Hiroshi Sugimori's profile →
Citations per field
00.5×1.5×2.5×
Hiroshi Sugimori · 1×
Citations per year

Countries citing papers authored by Satoshi Suda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Satoshi Suda Line = papers co-authored together Satoshi Suda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983130
2 2017117
3 200890
4 200185
5 201373
6 200270
7 201761
8 202056
9 201845
10 200343
11 200739
12 201837
13 201633
14 201329
15 201828
16 200528
17 198528
18 202227
19 200426
20 198426

About Satoshi Suda

Satoshi Suda is a scholar working on Epidemiology, Neurology, Pulmonary and Respiratory Medicine, Mechanical Engineering and Cardiology and Cardiovascular Medicine, having authored 151 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (54 papers), Advanced machining processes and optimization (21 papers), Cerebrovascular and Carotid Artery Diseases (21 papers), Atrial Fibrillation Management and Outcomes (19 papers), Venous Thromboembolism Diagnosis and Management (16 papers), Intracerebral and Subarachnoid Hemorrhage Research (15 papers), Traumatic Brain Injury and Neurovascular Disturbances (13 papers) and Mesenchymal stem cell research (12 papers). The work is most often cited by research in Developmental Neuroscience (128 citations), Neurology (248 citations), Genetics (295 citations), Internal Medicine (102 citations) and Neurology (263 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, T. Wakabayashi, Masayuki Ueda, Kentaro Suzuki 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 Molecular Therapy — Methods & Clinical Development.

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.

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