Xinyan Gao

2.0k total citations
107 papers, 1.5k citations indexed

About

Xinyan Gao is a scholar working on Complementary and alternative medicine, Physiology and Pharmacology. According to data from OpenAlex, Xinyan Gao has authored 107 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Complementary and alternative medicine, 33 papers in Physiology and 19 papers in Pharmacology. Recurrent topics in Xinyan Gao's work include Acupuncture Treatment Research Studies (64 papers), Pain Mechanisms and Treatments (26 papers) and Healthcare and Venom Research (13 papers). Xinyan Gao is often cited by papers focused on Acupuncture Treatment Research Studies (64 papers), Pain Mechanisms and Treatments (26 papers) and Healthcare and Venom Research (13 papers). Xinyan Gao collaborates with scholars based in China, United States and Austria. Xinyan Gao's co-authors include Bing Zhu, Kun Liu, Hui Ben, Sidney A. Rosenbluth, David P. Nau, Shiping Zhang, Peijing Rong, Gerhard Litscher, Xiang Cui and Bing Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Xinyan Gao

99 papers receiving 1.4k citations

Peers

Xinyan Gao
Comparison fields: 5 of 133
  • Complementary and alternative medicine 678
  • Physiology 318
  • Neurology 176
  • Cognitive Neuroscience 172
  • Cardiology and Cardiovascular Medicine 169
Replace Marc D. Cook with:
Marc D. Cook United States
Kenta Yamamoto Japan
Hubert J. Bardenheuer Germany
Steve Berman United States
Ching‐Liang Lu Taiwan
Jieyun Yin United States
Lucia Spicuzza Italy
Zhen Zheng Australia
Richard Hammerschlag United States
Hidetada Sasaki Japan
Marc D. Cook United States View profile →
Citations per field, relative to Xinyan Gao
Xinyan Gao · 1×
Citations per year, relative to Xinyan Gao
Xinyan Gao · 1×

Countries citing papers authored by Xinyan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xinyan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyan Gao. A scholar is included among the top collaborators of Xinyan 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 Xinyan Gao. Xinyan 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 1
2 1
3 2
4 4
5 5
6 0
7 10
8 18
9 25
10 30
11 10
12 7
13 19
14 19
15 15
16 76
17 10
18 6
19 63
20 65

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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