Xiaoping Gao

1.8k citations
64 papers · 993 · h-index 17

Impact in

    • Stroke Rehabilitation and Recovery
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Botulinum Toxin and Related Neurological Disorders

Papers in

Xiaoping Gao

63 papers receiving 980 citations

Peers

Xiaoping Gao
Comparison fields: 5 of 133
  • Rehabilitation 82
  • Neurology 101
  • Neurology 76
  • Cognitive Neuroscience 91
  • Human-Computer Interaction 27
Replace Chon-Haw Tsai with:
Chon-Haw Tsai Taiwan
Shan Tian China
Ayumi Nakamura Japan
Giulia Ricci Italy
Ning Su China
Hassan Azari Iran
Dorothea Heersema Netherlands
João Massano Portugal
Xiaoping Gao relative to Chon-Haw Tsai Taiwan Chon-Haw Tsai's profile →
Citations per field
00.5×4.7×
Chon-Haw Tsai · 1×
Citations per year

Countries citing papers authored by Xiaoping Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998201
2 201974
3 201456
4 201744
5 201944
6 201834
7 201433
8 201731
9 202026
10 201826
11 201526
12 201625
13 198624
14 201819
15 201618
16 201917
17 202317
18
Effect of TREM2 on Release of Inflammatory Factor from LPS-stimulated Microglia and Its Possible Mechanism.
201914
19 200813
20 202113

About Xiaoping Gao

Xiaoping Gao is a scholar working on Literature and Literary Theory, Biomedical Engineering, Language and Linguistics, Cognitive Neuroscience and Molecular Biology, having authored 64 papers that have together received 993 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (11 papers), EFL/ESL Teaching and Learning (11 papers), Second Language Learning and Teaching (10 papers), Discourse Analysis in Language Studies (8 papers), EEG and Brain-Computer Interfaces (5 papers), Language, Metaphor, and Cognition (4 papers), Stroke Rehabilitation and Recovery (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Rehabilitation (82 citations), Neurology (101 citations), Neurology (76 citations), Cognitive Neuroscience (91 citations) and Human-Computer Interaction (27 citations). Xiaoping Gao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Todd Evans, Yun‐Bo Shi, Xiang Chen, Xu Zhang, Ping Zhou, Xiao Tang, Jue Hu, Zhihong Zhao, Jianming Wu and Wenjun Zou. Their work appears in journals such as System, Journal of English for Academic Purposes, Experimental and Molecular Pathology, International Immunopharmacology and Frontiers in Neurology.

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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