Li-Min Mu

966 total citations
24 papers, 832 citations indexed

About

Li-Min Mu is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Li-Min Mu has authored 24 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Biomaterials and 9 papers in Biomedical Engineering. Recurrent topics in Li-Min Mu's work include RNA Interference and Gene Delivery (13 papers), Nanoparticle-Based Drug Delivery (12 papers) and Nanoplatforms for cancer theranostics (7 papers). Li-Min Mu is often cited by papers focused on RNA Interference and Gene Delivery (13 papers), Nanoparticle-Based Drug Delivery (12 papers) and Nanoplatforms for cancer theranostics (7 papers). Li-Min Mu collaborates with scholars based in China, Macao and Thailand. Li-Min Mu's co-authors include Wan-Liang Lü, Rui-Jun Ju, Zeng Fan, Ji‐Feng Shi, Mengge Sun, Yao Zhao, Xiuying Li, Weiyu Zhao, Cheng-Xiang Zhang and Jingying Zhang and has published in prestigious journals such as Biomaterials, Advanced Drug Delivery Reviews and Scientific Reports.

In The Last Decade

Li-Min Mu

24 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li-Min Mu China 15 481 360 281 156 86 24 832
Goutam Mondal United States 17 417 0.9× 230 0.6× 169 0.6× 201 1.3× 138 1.6× 28 826
Cheng-Xiang Zhang China 7 407 0.8× 347 1.0× 239 0.9× 150 1.0× 78 0.9× 8 674
Dae Hwan Shin South Korea 19 386 0.8× 444 1.2× 287 1.0× 154 1.0× 59 0.7× 62 978
Florence Gattacceca France 15 326 0.7× 235 0.7× 172 0.6× 106 0.7× 67 0.8× 33 809
Donghang Xu China 17 449 0.9× 216 0.6× 226 0.8× 112 0.7× 130 1.5× 54 995
Ka Hong Wong China 12 455 0.9× 402 1.1× 302 1.1× 76 0.5× 68 0.8× 21 934
Sara Amel Farzad Iran 16 514 1.1× 218 0.6× 181 0.6× 155 1.0× 123 1.4× 30 854
Qing Shen China 16 572 1.2× 282 0.8× 161 0.6× 76 0.5× 74 0.9× 34 904
Bengang You China 15 362 0.8× 307 0.9× 266 0.9× 86 0.6× 70 0.8× 26 716

Countries citing papers authored by Li-Min Mu

Since Specialization
Citations

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

Fields of papers citing papers by Li-Min Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li-Min Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Li-Min Mu. A scholar is included among the top collaborators of Li-Min 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 Li-Min Mu. Li-Min 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.
Duan, Jia‐Lun, Ying Xie, Haitao Guo, et al.. (2021). Targeted core-shell nanoparticles for precise CTCF gene insert in treatment of metastatic breast cancer. Bioactive Materials. 11. 1–14. 15 indexed citations
2.
Zhang, Jingying, Qian Luo, Jiarui Xu, et al.. (2020). Regulating Stem Cell-Related Genes Induces the Plastic Differentiation of Cancer Stem Cells to Treat Breast Cancer. Molecular Therapy — Oncolytics. 18. 396–408. 8 indexed citations
3.
4.
Liu, Lei, Hongjun Xie, Li-Min Mu, et al.. (2018). Functional chlorin gold nanorods enable to treat breast cancer by photothermal/photodynamic therapy. International Journal of Nanomedicine. Volume 13. 8119–8135. 39 indexed citations
5.
Ju, Rui-Jun, et al.. (2018). Development of functional docetaxel nanomicelles for treatment of brain glioma. Artificial Cells Nanomedicine and Biotechnology. 46(sup1). 1180–1190. 23 indexed citations
6.
Hu, Yingjie, Jingying Zhang, Qian Luo, et al.. (2018). Nanostructured Dihydroartemisinin Plus Epirubicin Liposomes Enhance Treatment Efficacy of Breast Cancer by Inducing Autophagy and Apoptosis. Nanomaterials. 8(10). 804–804. 25 indexed citations
7.
Mu, Li-Min, Rui-Jun Ju, Rui Liu, et al.. (2017). Dual-functional drug liposomes in treatment of resistant cancers. Advanced Drug Delivery Reviews. 115. 46–56. 112 indexed citations
8.
Mu, Li-Min, Lei Liu, Yan Yan, et al.. (2017). C-type natriuretic peptide-modified lipid vesicles: fabrication and use for the treatment of brain glioma. Oncotarget. 8(25). 40906–40921. 4 indexed citations
9.
Liu, Lei, Li-Min Mu, Yan Yan, et al.. (2017). The use of functional epirubicin liposomes to induce programmed death in refractory breast cancer. International Journal of Nanomedicine. Volume 12. 4163–4176. 31 indexed citations
10.
Fan, Zeng, Rui-Jun Ju, Lei Liu, et al.. (2017). Efficacy in Treating Lung Metastasis of Invasive Breast Cancer with Functional Vincristine Plus Dasatinib Liposomes. Pharmacology. 101(1-2). 43–53. 25 indexed citations
11.
12.
Lü, Wan-Liang, Zeng Fan, Lei Liu, et al.. (2016). Destruction of vasculogenic mimicry channels by targeting epirubicin plus celecoxib liposomes in treatment of brain glioma. International Journal of Nanomedicine. 11. 1131–1131. 38 indexed citations
13.
Zhao, Weiyu, Lei Liu, Li-Min Mu, et al.. (2016). Construction of Functional Targeting Daunorubicin Liposomes Used for Eliminating Brain Glioma and Glioma Stem Cells. Journal of Biomedical Nanotechnology. 12(7). 1404–1420. 13 indexed citations
14.
Zhang, Cheng-Xiang, Weiyu Zhao, Lei Liu, et al.. (2015). A nanostructure of functional targeting epirubicin liposomes dually modified with aminophenyl glucose and cyclic pentapeptide used for brain glioblastoma treatment. Oncotarget. 6(32). 32681–32700. 31 indexed citations
15.
Shi, Ji‐Feng, Mengge Sun, Xiuying Li, et al.. (2015). A Combination of Targeted Sunitinib Liposomes and Targeted Vinorelbine Liposomes for Treating Invasive Breast Cancer. Journal of Biomedical Nanotechnology. 11(9). 1568–1582. 40 indexed citations
16.
Li, Xiuying, Yao Zhao, Mengge Sun, et al.. (2014). Multifunctional liposomes loaded with paclitaxel and artemether for treatment of invasive brain glioma. Biomaterials. 35(21). 5591–5604. 148 indexed citations
17.
Sun, Mengge, Ji‐Feng Shi, Xiuying Li, et al.. (2014). Targeting Epirubicin Plus Quinacrine Liposomes Modified with DSPE-PEG<SUB>2000</SUB>-C(RGDfK) Conjugate for Eliminating Invasive Breast Cancer. Journal of Biomedical Nanotechnology. 11(8). 1339–1353. 19 indexed citations
18.
Ma, Xu, Jia Zhou, Cheng-Xiang Zhang, et al.. (2013). Modulation of drug-resistant membrane and apoptosis proteins of breast cancer stem cells by targeting berberine liposomes. Biomaterials. 34(18). 4452–4465. 112 indexed citations
19.
Ju, Rui-Jun, Li-Min Mu, & Wan-Liang Lü. (2013). Research Spotlight: Targeting Drug Delivery Systems for Circumventing Multidrug Resistance of Cancers. Therapeutic Delivery. 4(6). 667–671. 11 indexed citations
20.
Mu, Li-Min, et al.. (1997). A study of computing education needs among college of education faculty. 1–204. 3 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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