Lili Mu

1.9k total citations
79 papers, 1.5k citations indexed

About

Lili Mu is a scholar working on Molecular Biology, Immunology and Insect Science. According to data from OpenAlex, Lili Mu has authored 79 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 15 papers in Immunology and 15 papers in Insect Science. Recurrent topics in Lili Mu's work include Insect Resistance and Genetics (17 papers), Neurobiology and Insect Physiology Research (11 papers) and Myasthenia Gravis and Thymoma (9 papers). Lili Mu is often cited by papers focused on Insect Resistance and Genetics (17 papers), Neurobiology and Insect Physiology Research (11 papers) and Myasthenia Gravis and Thymoma (9 papers). Lili Mu collaborates with scholars based in China, United States and Saint Kitts and Nevis. Lili Mu's co-authors include Guo‐Qing Li, Wen‐Chao Guo, Qingfei Kong, Hulun Li, Guangyou Wang, Ji‐Feng Shi, Dandan Wang, Pin‐Jun Wan, Bo Sun and Qingyu Xu and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Lili Mu

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lili Mu China 24 698 328 328 224 208 79 1.5k
Christoforos Nikolaou Greece 23 996 1.4× 214 0.7× 47 0.1× 136 0.6× 239 1.1× 65 1.7k
Aijun Huang China 21 629 0.9× 173 0.5× 69 0.2× 316 1.4× 313 1.5× 54 1.5k
Anathbandhu Chaudhuri United States 14 487 0.7× 106 0.3× 79 0.2× 250 1.1× 224 1.1× 33 1.2k
Ivana Peluso Italy 15 1.1k 1.6× 182 0.6× 72 0.2× 203 0.9× 46 0.2× 20 2.2k
Michael Haberl Germany 20 328 0.5× 293 0.9× 348 1.1× 132 0.6× 349 1.7× 27 2.2k
Gemma Marfany Spain 27 1.7k 2.5× 170 0.5× 79 0.2× 178 0.8× 59 0.3× 93 2.2k
Krisztina Hegedűs Hungary 20 553 0.8× 165 0.5× 64 0.2× 159 0.7× 38 0.2× 37 1.7k
Joshua McElwee United States 16 1.1k 1.6× 737 2.2× 57 0.2× 119 0.5× 53 0.3× 27 3.0k
James A. Eddy United States 17 948 1.4× 218 0.7× 81 0.2× 69 0.3× 221 1.1× 24 1.8k

Countries citing papers authored by Lili Mu

Since Specialization
Citations

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

Fields of papers citing papers by Lili Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Lili Mu. A scholar is included among the top collaborators of Lili 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 Lili Mu. Lili Mu 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
1.
Xu, Zijun, et al.. (2025). Drive in Corridors: Enhancing the Safety of End-to-End Autonomous Driving via Corridor Learning and Planning. IEEE Robotics and Automation Letters. 10(7). 6728–6735.
2.
Zhang, Wenyuan, Yang Liu, Yu Guo, et al.. (2024). Impaired cerebral microvascular endothelial cells integrity due to elevated dopamine in myasthenic model. Journal of Neuroinflammation. 21(1). 10–10. 3 indexed citations
3.
Cheng, Lei, Jiaqi Wang, Xiaoyu Zhang, et al.. (2024). The wnt/pyruvate kinase, muscle axis plays an essential role in the differentiation of mouse neuroblastoma cells. Neurochemistry International. 181. 105901–105901. 2 indexed citations
4.
Zhao, Wei, Xingfan Chen, Yang Liu, et al.. (2022). Metformin inhibits the pathogenic functions of AChR-specific B and Th17 cells by targeting miR-146a. Immunology Letters. 250. 29–40. 4 indexed citations
5.
Liang, Feng, et al.. (2021). A new model path for the development of smart leisure sports tourism industry based on 5G technology. IET Communications. 16(5). 485–496. 19 indexed citations
6.
Zeng, Jie, et al.. (2021). RNAi of vacuolar-type H+-ATPase genes causes growth delay and molting defect inHenosepilachna vigintioctopunctata. Bulletin of Entomological Research. 111(6). 705–714. 5 indexed citations
7.
Xu, Qingyu, et al.. (2020). Involvement of Leptinotarsa hormone receptor 38 in the larval-pupal transition. Gene. 751. 144779–144779. 9 indexed citations
8.
Zhang, Sifan, Bo Sun, Qingfei Kong, et al.. (2020). Combining miR-23b exposure with mesenchymal stem cell transplantation enhances therapeutic effects on EAE. Immunology Letters. 229. 18–26. 7 indexed citations
9.
Xu, Qingyu, Pan Deng, Lili Mu, et al.. (2019). Silencing Taiman impairs larval development in Leptinotarsa decemlineata. Pesticide Biochemistry and Physiology. 160. 30–39. 17 indexed citations
10.
Li, Zhaoying, Wen Wang, Xi Wang, et al.. (2018). Functional network analysis reveals biological roles of lncRNAs and mRNAs in MOG35–55 specific CD4+T helper cells. Genomics. 110(6). 337–346. 4 indexed citations
11.
Liu, Chuanliang, Jing Jia, Yun Zhang, et al.. (2017). Regulator of G protein signaling 5 (RGS5) inhibits sonic hedgehog function in mouse cortical neurons. Molecular and Cellular Neuroscience. 83. 65–73. 5 indexed citations
12.
Li, Lei, Shaohong Fang, Wei Sun, et al.. (2016). MicroRNA 182 inhibits CD4+CD25+Foxp3+ Treg differentiation in experimental autoimmune encephalomyelitis. Clinical Immunology. 173. 109–116. 19 indexed citations
13.
Zhang, Yao, Dandan Wang, Tongshuai Zhang, et al.. (2014). Accumulation of natural killer cells in ischemic brain tissues and the chemotactic effect of IP-10. Journal of Neuroinflammation. 11(1). 79–79. 90 indexed citations
14.
Li, Na, Geng Wang, Xiuhua Yao, et al.. (2014). Adenosine receptor expression in a rat model of experimental autoimmune myasthenia gravis. Cellular Immunology. 290(2). 217–225. 4 indexed citations
15.
Wang, Jinghua, Xin Zhang, Lili Mu, et al.. (2014). t-PA acts as a cytokine to regulate lymphocyte–endothelium adhesion in experimental autoimmune encephalomyelitis. Clinical Immunology. 152(1-2). 90–100. 12 indexed citations
16.
Jia, Shuang, Pin‐Jun Wan, Li‐Tao Zhou, Lili Mu, & Guo‐Qing Li. (2013). Knockdown of a putative Halloween gene Shade reveals its role in ecdysteroidogenesis in the small brown planthopper Laodelphax striatellus. Gene. 531(2). 168–174. 30 indexed citations
17.
Wang, Hongwei, Xinyue Wang, Lili Mu, et al.. (2013). The Mechanism of Effective Electroacupuncture on T Cell Response in Rats with Experimental Autoimmune Encephalomyelitis. PLoS ONE. 8(1). e51573–e51573. 24 indexed citations
18.
Mu, Lili, Yao Zhang, Bo Sun, et al.. (2011). Activation of the receptor for advanced glycation end products (RAGE) exacerbates experimental autoimmune myasthenia gravis symptoms. Clinical Immunology. 141(1). 36–48. 26 indexed citations
19.
Bai, Shasha, Ying Li, Jinghua Wang, et al.. (2011). Modeled Microgravity Suppressed Expansion of the MBP-specific T Lymphocytes of Rats with Experimental Autoimmune Encephalomyelitis. Immunological Investigations. 40(5). 535–551. 3 indexed citations
20.
Sun, Baozhen, et al.. (2007). Passive Transfer of Experimental Autoimmune Neuritis by IL‐12 and IL‐18 Synergistically Potentiated Lymphoid Cells is Regulated by NKR‐P1+ Cells. Scandinavian Journal of Immunology. 65(5). 412–420. 1 indexed citations

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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