Shaoshi Wang

36 total papers · 2.1k total citations
22 papers, 300 citations indexed

About

Shaoshi Wang is a scholar working on Epidemiology, Surgery and Neurology. According to data from OpenAlex, Shaoshi Wang has authored 22 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 5 papers in Surgery and 5 papers in Neurology. Recurrent topics in Shaoshi Wang's work include Acute Ischemic Stroke Management (12 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Advanced MRI Techniques and Applications (4 papers). Shaoshi Wang is often cited by papers focused on Acute Ischemic Stroke Management (12 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Advanced MRI Techniques and Applications (4 papers). Shaoshi Wang collaborates with scholars based in China, Australia and United States. Shaoshi Wang's co-authors include Huazheng Liang, Tianheng Zheng, Quan Han, Stephen M. Davis, Min Lou, Shenqiang Yan, Sheng Zhang, Bernard Yan, Mark Parsons and Haixia Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Pharmacology.

In The Last Decade

Shaoshi Wang

22 papers receiving 300 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shaoshi Wang 154 83 69 49 48 22 300
Séverine Debiais 130 0.8× 82 1.0× 68 1.0× 46 0.9× 38 0.8× 27 338
Tyler D. Alexander 112 0.7× 105 1.3× 68 1.0× 34 0.7× 31 0.6× 25 346
Yung-Yang Lin 127 0.8× 49 0.6× 46 0.7× 42 0.9× 35 0.7× 30 316
Gang Li 133 0.9× 54 0.7× 53 0.8× 29 0.6× 29 0.6× 27 262
Kangxiang Ji 144 0.9× 98 1.2× 61 0.9× 48 1.0× 30 0.6× 14 278
Tomáš Peisker 106 0.7× 66 0.8× 70 1.0× 31 0.6× 35 0.7× 30 217
Elodie Ong 167 1.1× 109 1.3× 62 0.9× 26 0.5× 27 0.6× 29 364
Yasuhiro Tomii 172 1.1× 68 0.8× 63 0.9× 80 1.6× 46 1.0× 28 342
Qian Yang 164 1.1× 85 1.0× 82 1.2× 37 0.8× 50 1.0× 41 299
Katsuharu Kameda 142 0.9× 149 1.8× 63 0.9× 21 0.4× 36 0.8× 21 293

Countries citing papers authored by Shaoshi Wang

Since Specialization
Citations

This map shows the geographic impact of Shaoshi Wang'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 Shaoshi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoshi Wang more than expected).

Fields of papers citing papers by Shaoshi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaoshi Wang. 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 Shaoshi Wang. The network helps show where Shaoshi Wang may publish in the future.

Co-authorship network of co-authors of Shaoshi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoshi Wang. A scholar is included among the top collaborators of Shaoshi Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaoshi Wang. Shaoshi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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