Qingli Mu

28 total papers · 704 total citations
27 papers, 589 citations indexed

About

Qingli Mu is a scholar working on Pharmacology, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Qingli Mu has authored 27 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pharmacology, 10 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Qingli Mu's work include Functional Brain Connectivity Studies (8 papers), Treatment of Major Depression (5 papers) and Berberine and alkaloids research (5 papers). Qingli Mu is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Treatment of Major Depression (5 papers) and Berberine and alkaloids research (5 papers). Qingli Mu collaborates with scholars based in China. Qingli Mu's co-authors include Weifeng Li, Xiaofeng Niu, Huan Yao, Huani Li, Huimin Huang, Hailin Zhang, Ting Fan, Hailin Zhang, Yu Wang and Xiumei Wang and has published in prestigious journals such as Journal of Ethnopharmacology, European Journal of Pharmacology and Behavioural Brain Research.

In The Last Decade

Qingli Mu

25 papers receiving 584 citations

Author Peers

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

Author Last Decade Papers Cites
Qingli Mu 242 122 116 94 89 27 589
Sudhir Kumar Yadav 237 1.0× 127 1.0× 55 0.5× 119 1.3× 74 0.8× 29 693
Carla F.S. Guazelli 195 0.8× 144 1.2× 80 0.7× 75 0.8× 72 0.8× 13 626
Tetsu Ohashi 277 1.1× 72 0.6× 150 1.3× 52 0.6× 76 0.9× 18 516
S.A. Saeed 175 0.7× 112 0.9× 237 2.0× 40 0.4× 80 0.9× 27 674
Isabel Daufenback Machado 179 0.7× 72 0.6× 50 0.4× 64 0.7× 113 1.3× 22 544
Tae Woo Oh 237 1.0× 107 0.9× 80 0.7× 89 0.9× 78 0.9× 54 599
Fenglin Li 232 1.0× 73 0.6× 149 1.3× 70 0.7× 99 1.1× 36 556
Rashida Ginwala 268 1.1× 70 0.6× 101 0.9× 115 1.2× 137 1.5× 18 685
Sang-Wan Seo 187 0.8× 129 1.1× 114 1.0× 60 0.6× 95 1.1× 34 644
Kenji W. Ruiz-Miyazawa 257 1.1× 124 1.0× 67 0.6× 87 0.9× 47 0.5× 15 578

Countries citing papers authored by Qingli Mu

Since Specialization
Citations

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

Fields of papers citing papers by Qingli Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingli Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingli Mu. A scholar is included among the top collaborators of Qingli Mu 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 Qingli Mu. Qingli Mu 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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