Wenli Mu

467 total citations · 1 hit paper
25 papers, 290 citations indexed

About

Wenli Mu is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Wenli Mu has authored 25 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Immunology and 10 papers in Virology. Recurrent topics in Wenli Mu's work include HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (9 papers) and CRISPR and Genetic Engineering (6 papers). Wenli Mu is often cited by papers focused on HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (9 papers) and CRISPR and Genetic Engineering (6 papers). Wenli Mu collaborates with scholars based in United States, China and Russia. Wenli Mu's co-authors include Scott G. Kitchen, Mayra A. Carrillo, Anjie Zhen, Valerie Rezek, Heather Martin, De‐Pei Liu, Feng Chen, Peng Xu, Yajun Wang and Tingting Wang and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Wenli Mu

24 papers receiving 288 citations

Hit Papers

Examining Chronic Inflammation, Immune Metabolism, and T ... 2024 2026 2025 2024 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenli Mu United States 11 137 61 57 52 52 25 290
Weijia Luo United States 10 140 1.0× 57 0.9× 11 0.2× 66 1.3× 15 0.3× 20 321
Sheikh Mohammad Fazle Akbar Japan 12 165 1.2× 88 1.4× 14 0.2× 45 0.9× 18 0.3× 27 462
Robert L. Furler O’Brien United States 8 75 0.5× 62 1.0× 73 1.3× 33 0.6× 10 0.2× 16 214
Patricia Lovelace United States 6 166 1.2× 185 3.0× 8 0.1× 66 1.3× 26 0.5× 6 367
Qiujiang Du Canada 10 134 1.0× 71 1.2× 22 0.4× 22 0.4× 45 0.9× 11 308
Anne Louise Hansen Denmark 8 124 0.9× 203 3.3× 17 0.3× 26 0.5× 13 0.3× 11 333
Katarzyna Okreglicka Switzerland 5 143 1.0× 218 3.6× 40 0.7× 16 0.3× 9 0.2× 8 326
Ghania Ramdani France 10 165 1.2× 72 1.2× 6 0.1× 52 1.0× 27 0.5× 13 382
Guang Y. Li United States 11 151 1.1× 306 5.0× 17 0.3× 57 1.1× 5 0.1× 11 437
Christine Rentzsch Germany 7 103 0.8× 145 2.4× 33 0.6× 55 1.1× 16 0.3× 12 282

Countries citing papers authored by Wenli Mu

Since Specialization
Citations

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

Fields of papers citing papers by Wenli Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenli Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenli Mu. A scholar is included among the top collaborators of Wenli 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 Wenli Mu. Wenli 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.
Song, Mingjie, et al.. (2025). MiR-30d-5p Modulates Glucose and Lipid Metabolism by Targeting CD73 through the AMPK Pathway. Cell Biochemistry and Biophysics. 83(4). 4947–4960.
2.
Mu, Wenli, Jeffrey Harding, Valerie Rezek, et al.. (2025). Rapamycin enhances CAR-T control of HIV replication and reservoir elimination in vivo. Journal of Clinical Investigation. 135(7). 5 indexed citations
3.
Mu, Wenli, et al.. (2024). Examining Chronic Inflammation, Immune Metabolism, and T Cell Dysfunction in HIV Infection. Viruses. 16(2). 219–219. 34 indexed citations breakdown →
4.
Li, Wenlan, et al.. (2024). Ginsenoside RB1 Influences Macrophage–DPSC Interactions in Inflammatory Conditions. International Dental Journal. 75(2). 1194–1202. 7 indexed citations
5.
Carrillo, Mayra A., Anjie Zhen, Wenli Mu, et al.. (2024). Stem cell-derived CAR T cells show greater persistence, trafficking, and viral control compared to ex vivo transduced CAR T cells. Molecular Therapy. 32(4). 1000–1015. 15 indexed citations
6.
Zhao, Rui, et al.. (2024). Ginsenoside Rb1 ameliorates apical periodontitis via suppressing macrophage pyroptosis. Oral Diseases. 31(2). 541–554. 5 indexed citations
7.
Mu, Wenli, Heather Martin, & Anjie Zhen. (2023). Targeting autophagy to treat HIV immune dysfunction. SHILAP Revista de lepidopterología. 2(1). 2 indexed citations
8.
Mu, Wenli, Valerie Rezek, Heather Martin, et al.. (2022). Autophagy inducer rapamycin treatment reduces IFN-I–mediated Inflammation and improves anti–HIV-1 T cell response in vivo. JCI Insight. 7(22). 16 indexed citations
9.
Mu, Wenli, Hwee L. Ng, Li Wang, et al.. (2022). Cannabidiol modulates expression of type I IFN response genes and HIV infection in macrophages. Frontiers in Immunology. 13. 926696–926696. 12 indexed citations
10.
Mu, Wenli, Anjie Zhen, Mayra A. Carrillo, et al.. (2022). Oral Combinational Antiretroviral Treatment in HIV-1 Infected Humanized Mice. Journal of Visualized Experiments. 2 indexed citations
11.
Zhen, Anjie, Mayra A. Carrillo, Wenli Mu, et al.. (2021). Robust CAR-T memory formation and function via hematopoietic stem cell delivery. PLoS Pathogens. 17(4). e1009404–e1009404. 24 indexed citations
12.
Mu, Wenli, Eleni Ritou, Valerie Rezek, et al.. (2021). ApoA-I mimetics favorably impact cyclooxygenase 2 and bioactive lipids that may contribute to cardiometabolic syndrome in chronic treated HIV. Metabolism. 124. 154888–154888. 4 indexed citations
13.
Mu, Wenli, Mayra A. Carrillo, & Scott G. Kitchen. (2020). Engineering CAR T Cells to Target the HIV Reservoir. Frontiers in Cellular and Infection Microbiology. 10. 410–410. 37 indexed citations
14.
Mu, Wenli, et al.. (2019). A Flow Cytometric Method to Determine Transfection Efficiency. BIO-PROTOCOL. 9(10). 4 indexed citations
15.
Homann, Stefanie, Christian Hofmann, Wenli Mu, et al.. (2017). A novel rapid and reproducible flow cytometric method for optimization of transfection efficiency in cells. PLoS ONE. 12(9). e0182941–e0182941. 13 indexed citations
16.
Chen, Feng, Lingling Zhang, Jing Lü, et al.. (2016). Non-integrating lentiviral vectors based on the minimal S/MAR sequence retain transgene expression in dividing cells. Science China Life Sciences. 59(10). 1024–1033. 15 indexed citations
17.
Mu, Wenli, Xiaoqiang Tang, Wenyan Fu, et al.. (2014). Overexpression of a dominant-negative mutant of SIRT1 in mouse heart causes cardiomyocyte apoptosis and early-onset heart failure. Science China Life Sciences. 57(9). 915–924. 27 indexed citations
18.
Chen, Feng, Jing Lü, Wenli Mu, et al.. (2010). Gaussia Luciferase Reporter Assay for Assessment of Gene Delivery Systems in Vivo. Chinese Medical Sciences Journal. 25(2). 95–99. 1 indexed citations
19.
Wang, Xiufang, Xia Jin, Xiaoyan Wang, et al.. (2009). Effects of L1-ORF2 fragments on green fluorescent protein gene expression. Genetics and Molecular Biology. 32(4). 688–696. 7 indexed citations
20.
Wang, Xiufang, Xiaoyan Wang, Jing Liu, et al.. (2009). Alu tandem sequences inhibit GFP gene expression by triggering chromatin wrapping. Genes & Genomics. 31(3). 209–215. 13 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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