Libing Mu

503 total citations
10 papers, 315 citations indexed

About

Libing Mu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Libing Mu has authored 10 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Libing Mu's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Immunotherapy and Immune Responses (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Libing Mu is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Immunotherapy and Immune Responses (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Libing Mu collaborates with scholars based in China, Canada and United States. Libing Mu's co-authors include Yan Shi, Yu‐Mei Wen, Liang Chen, Yanquan Zhang, Gui-fang Zhu, Baoqing Jia, Zhijie Chang, Yuchuan Ding, Mingxia Ding and Wei Wu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Libing Mu

10 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Libing Mu China 8 193 77 49 44 30 10 315
Semra İnce Türkiye 10 167 0.9× 103 1.3× 47 1.0× 42 1.0× 33 1.1× 29 332
Katie Boucher Belgium 7 248 1.3× 53 0.7× 56 1.1× 30 0.7× 32 1.1× 9 410
Amelia Karlsson United States 10 177 0.9× 61 0.8× 46 0.9× 28 0.6× 50 1.7× 11 323
Thomas Sbarrato United Kingdom 9 273 1.4× 76 1.0× 94 1.9× 38 0.9× 44 1.5× 14 441
Alice Shia United Kingdom 8 186 1.0× 143 1.9× 70 1.4× 44 1.0× 30 1.0× 12 388
Bryan S. Yung United States 9 249 1.3× 92 1.2× 131 2.7× 37 0.8× 27 0.9× 16 424
Laura Abriola United States 12 314 1.6× 32 0.4× 46 0.9× 37 0.8× 24 0.8× 19 486
Sebastián Cruz-Gómez United States 9 122 0.6× 151 2.0× 74 1.5× 17 0.4× 26 0.9× 16 340
Susann Herzog Germany 8 192 1.0× 39 0.5× 56 1.1× 34 0.8× 18 0.6× 10 299

Countries citing papers authored by Libing Mu

Since Specialization
Citations

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

Fields of papers citing papers by Libing Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libing Mu

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

All Works

10 of 10 papers shown
1.
Liu, Yang, Xuexiang Du, Mingyue Liu, et al.. (2021). 231 Molecular insights on safety and anti-tumor activity of a non-irAE-inducing anti-CTLA-4 monoclonal antibody ONC-392. SHILAP Revista de lepidopterología. A246–A246. 2 indexed citations
2.
Zhang, Yifei, Rong Hua, Fang‐Xiong Zhang, et al.. (2018). A Membrane Potential- and Calpain-Dependent Reversal of Caspase-1 Inhibition Regulates Canonical NLRP3 Inflammasome. Cell Reports. 24(9). 2356–2369.e5. 46 indexed citations
3.
Mu, Libing, Lin Miao, Hefei Ruan, et al.. (2018). A phosphatidylinositol 4,5-bisphosphate redistribution-based sensing mechanism initiates a phagocytosis programing. Nature Communications. 9(1). 4259–4259. 41 indexed citations
4.
Shi, Yan & Libing Mu. (2017). An expanding stage for commensal microbes in host immune regulation. Cellular and Molecular Immunology. 14(4). 339–348. 27 indexed citations
5.
Wen, Yu‐Mei, Libing Mu, & Yan Shi. (2016). Immunoregulatory functions of immune complexes in vaccine and therapy. EMBO Molecular Medicine. 8(10). 1120–1133. 42 indexed citations
6.
Zhu, Gui-fang, Zhimeng Fan, Mingxia Ding, et al.. (2015). An EGFR/PI3K/AKT axis promotes accumulation of the Rac1-GEF Tiam1 that is critical in EGFR-driven tumorigenesis. Oncogene. 34(49). 5971–5982. 70 indexed citations
7.
Gao, Lei, Yonghua Jiang, Libing Mu, et al.. (2015). Efficient Generation of Mice with Consistent Transgene Expression by FEEST. Scientific Reports. 5(1). 16284–16284. 4 indexed citations
8.
Fang, Wenfeng, Libing Mu, Yanna Tang, et al.. (2015). Overexpression of wildtype EGFR is tumorigenic and denotes a therapeutic target in non-small cell lung cancer. Oncotarget. 7(4). 3884–3896. 39 indexed citations
9.
Zhu, Guixin, Miao Ding, Libing Mu, et al.. (2014). DNA Damage Induces the Accumulation of Tiam1 by Blocking β-TrCP-dependent Degradation. Journal of Biological Chemistry. 289(22). 15482–15494. 17 indexed citations
10.
Hari, Aswin, Anutosh Ganguly, Libing Mu, et al.. (2014). Redirecting soluble antigen for MHC class I cross‐presentation during phagocytosis. European Journal of Immunology. 45(2). 383–395. 27 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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