Shanshan Qu

89 total papers · 2.0k total citations
69 papers, 1.4k citations indexed

About

Shanshan Qu is a scholar working on Complementary and alternative medicine, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Shanshan Qu has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Complementary and alternative medicine, 10 papers in Cognitive Neuroscience and 10 papers in Physiology. Recurrent topics in Shanshan Qu's work include Acupuncture Treatment Research Studies (27 papers), Traditional Chinese Medicine Studies (11 papers) and Tryptophan and brain disorders (8 papers). Shanshan Qu is often cited by papers focused on Acupuncture Treatment Research Studies (27 papers), Traditional Chinese Medicine Studies (11 papers) and Tryptophan and brain disorders (8 papers). Shanshan Qu collaborates with scholars based in China, Hong Kong and United States. Shanshan Qu's co-authors include Yong Huang, Junqi Chen, Jiafeng Wan, Fangwei Ma, Changchao Dai, Chunzhi Tang, Jiping Zhang, Zhinan Zhang, Jinqiu Shao and Yu Zheng and has published in prestigious journals such as PLoS ONE, The FASEB Journal and International Journal of Hydrogen Energy.

In The Last Decade

Shanshan Qu

67 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shanshan Qu 506 241 240 171 154 69 1.4k
Hsin‐Cheng Hsu 200 0.4× 470 2.0× 279 1.2× 32 0.2× 71 0.5× 44 1.4k
Shanli Yang 264 0.5× 557 2.3× 63 0.3× 65 0.4× 55 0.4× 53 1.5k
Shenjun Wang 349 0.7× 178 0.7× 14 0.1× 95 0.6× 82 0.5× 56 1.4k
Jaekwang Lee 58 0.1× 307 1.3× 162 0.7× 176 1.0× 37 0.2× 61 1.8k
Xiaozhe Zhang 308 0.6× 70 0.3× 21 0.1× 144 0.8× 129 0.8× 102 1.8k
Jingchun Guo 199 0.4× 476 2.0× 44 0.2× 28 0.2× 22 0.1× 56 1.5k
Yueh‐Ling Hsieh 262 0.5× 42 0.2× 34 0.1× 95 0.6× 85 0.6× 64 1.2k
Xiaoying Zhu 101 0.2× 183 0.8× 80 0.3× 107 0.6× 15 0.1× 79 1.7k
Wen‐Yin Chen 129 0.3× 96 0.4× 17 0.1× 60 0.4× 101 0.7× 84 1.4k
Eun Young Jang 215 0.4× 107 0.4× 12 0.1× 185 1.1× 99 0.6× 67 1.2k

Countries citing papers authored by Shanshan Qu

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Qu

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

All Works

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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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2026