Xiaoping Gao

1.8k total citations
66 papers, 978 citations indexed

About

Xiaoping Gao is a scholar working on Literature and Literary Theory, Biomedical Engineering and Language and Linguistics. According to data from OpenAlex, Xiaoping Gao has authored 66 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Literature and Literary Theory, 13 papers in Biomedical Engineering and 11 papers in Language and Linguistics. Recurrent topics in Xiaoping Gao's work include EFL/ESL Teaching and Learning (11 papers), Muscle activation and electromyography studies (11 papers) and Second Language Learning and Teaching (10 papers). Xiaoping Gao is often cited by papers focused on EFL/ESL Teaching and Learning (11 papers), Muscle activation and electromyography studies (11 papers) and Second Language Learning and Teaching (10 papers). Xiaoping Gao collaborates with scholars based in China, Australia and United States. Xiaoping Gao's co-authors include Todd Evans, Yun‐Bo Shi, Xiang Chen, Xu Zhang, Ping Zhou, Xiao Tang, Jianming Wu, Zhihong Zhao, Jingyan Li and Wenjun Zou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaoping Gao

63 papers receiving 964 citations

Peers

Xiaoping Gao
Comparison fields: 5 of 143
  • Molecular Biology 303
  • Biomedical Engineering 191
  • Neurology 115
  • Cognitive Neuroscience 111
  • Rehabilitation 97
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Citations per field, relative to Xiaoping Gao
Xiaoping Gao · 1×
Citations per year, relative to Xiaoping Gao
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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-authorship network of co-authors of Xiaoping Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Gao. A scholar is included among the top collaborators of Xiaoping Gao 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 Xiaoping Gao. Xiaoping Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 0
3 5
4 4
5 6
6 15
7 26
8 5
9 5
10 7
11 3
12 69
13 11
14 19
15 8
16 1
17
Effects of total saponins from Sanguisorba officinalis on promoting hematopoietic cell proliferation
3
18
State of the Arts and Developing Trend of Intelligent Residence in China
3
19
Prediction for the ability of independent walking in acute stroke patients
1
20 201

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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