Xiaoying Chen

121 papers receiving 1.6k citations

Peers

Xiaoying Chen
Comparison fields: 5 of 167
  • Rehabilitation 87
  • Aquatic Science 89
  • Insect Science 144
  • Internal Medicine 41
  • Neurology 161
Replace Shailendra Anoopkumar‐Dukie with:
Shailendra Anoopkumar‐Dukie Australia
Joseph A. Knight United States
Xinhui Wang China
Zeeshan Ahmad Khan South Korea
Shan Chen China
Hui Ren China
Yongli Wang China
Johanna M. Gostner Austria
Min Sun Kim South Korea
Yi Zheng China
Xiaoying Chen relative to Shailendra Anoopkumar‐Dukie Australia Shailendra Anoopkumar‐Dukie's profile →
Citations per field
00.5×
Shailendra Anoopkumar‐Dukie · 1×
Citations per year

Countries citing papers authored by Xiaoying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019138
2 2016101
3 201867
4 201866
5 201560
6 202253
7 201448
8 201542
9 201339
10 202039
11 201638
12 201237
13 202035
14 202228
15 202128
16 202127
17 201327
18 202226
19 201825
20 202024

About Xiaoying Chen

Xiaoying Chen is a scholar working on Epidemiology, Molecular Biology, Neurology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 132 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (31 papers), Intracerebral and Subarachnoid Hemorrhage Research (13 papers), Stroke Rehabilitation and Recovery (9 papers), Neurosurgical Procedures and Complications (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Plant Molecular Biology Research (5 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). The work is most often cited by research in Rehabilitation (87 citations), Aquatic Science (89 citations), Insect Science (144 citations), Internal Medicine (41 citations) and Neurology (161 citations). Xiaoying Chen has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Guoxia Wang, Craig S. Anderson, Yanhua Huang, Kai Peng, Junru Hu, John Chalmers, Wen‐Ping Jia, Hisatomi Arima, Deman Han and Pingping Yang. Their work appears in journals such as Stroke, Cerebrovascular Diseases, International Journal of Stroke, Scientific Reports and Frontiers in Microbiology.

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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