Simiao Wu

77 papers receiving 3k citations

Simiao Wu's Hit Papers

A systematic review and synthesis of global stroke guidelines on behalf of the World Stroke Organization 2023 · 140 citations
1400+2+4Years since publication4008001.2k

Peers

Simiao Wu
Comparison fields: 5 of 116
  • Rehabilitation 730
  • Epidemiology 1.2k
  • Neurology 265
  • Neurology 248
  • Complementary and alternative medicine 121
Replace Paola Santalucia with:
Paola Santalucia Italy
Milad Khorasani Iran
Parisa Sabbagh Iran
Stefano Ricci Italy
Mohammad Ali Hosseini Iran
Zilong Hao China
Chunyan Lei China
Rajeev Gupta India
Deidre Anne De Silva Singapore
Liying Cui China
Simiao Wu relative to Paola Santalucia Italy Paola Santalucia's profile →
Citations per field
00.5×2×2.7×
Paola Santalucia · 1×
Citations per year

Countries citing papers authored by Simiao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Simiao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simiao Wu, 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 Simiao Wu Line = papers co-authored together Simiao Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Stroke in China: advances and challenges in epidemiology, prevention, and management
Hit paper breakdown →
20191220
2 2018149
3
A systematic review and synthesis of global stroke guidelines on behalf of the World Stroke Organization
Hit paper breakdown →
2023140
4 2012131
5 2015127
6 2015124
7 201999
8 201174
9 202272
10 201470
11 201749
12 201949
13 202441
14 202036
15 202134
16 201930
17 202230
18 201329
19 201929
20 201928

About Simiao Wu

Simiao Wu is a scholar working on Epidemiology, Rehabilitation, Neurology, Neurology and Oncology, having authored 85 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (50 papers), Stroke Rehabilitation and Recovery (13 papers), Intracerebral and Subarachnoid Hemorrhage Research (8 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Cerebrovascular and genetic disorders (3 papers), Laser Applications in Dentistry and Medicine (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Rehabilitation (730 citations), Epidemiology (1.2k citations), Neurology (265 citations), Neurology (248 citations) and Complementary and alternative medicine (121 citations). Simiao Wu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Gillian Elizabeth Mead, Ming Liu, Malcolm Robert Macleod, Bo Wu, Fiona Duncan, Xiaoyan Yang, Trudie Chalder, Ruozhen Yuan, Mansur Amirovich Kutlubaev and Craig S. Anderson. Their work appears in journals such as International Journal of Stroke, Cochrane Database of Systematic Reviews, The Lancet Neurology, Stroke and Current Neurovascular Research.

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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