Ming Lv

853 total citations
46 papers, 691 citations indexed

About

Ming Lv is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ming Lv has authored 46 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Immunology. Recurrent topics in Ming Lv's work include Monoclonal and Polyclonal Antibodies Research (7 papers), RNA Interference and Gene Delivery (5 papers) and Cell death mechanisms and regulation (5 papers). Ming Lv is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), RNA Interference and Gene Delivery (5 papers) and Cell death mechanisms and regulation (5 papers). Ming Lv collaborates with scholars based in China, Japan and United States. Ming Lv's co-authors include Jiannan Feng, Bing Shen, Jing Wang, Jiyan Zhang, Xinying Li, Chunxia Qiao, Qingyang Wang, Zhongxue Wu, Liqian Sun and Manman Zhao and has published in prestigious journals such as Hepatology, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Ming Lv

46 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Lv China 17 369 125 116 107 92 46 691
Jeong Yoon Song South Korea 10 286 0.8× 195 1.6× 143 1.2× 48 0.4× 74 0.8× 21 570
Yu Geng China 16 386 1.0× 130 1.0× 113 1.0× 103 1.0× 107 1.2× 20 684
Michi Tanaka Japan 14 232 0.6× 94 0.8× 107 0.9× 147 1.4× 40 0.4× 25 959
Shuyu Li China 15 359 1.0× 116 0.9× 140 1.2× 141 1.3× 112 1.2× 35 771
Kristine Misund Norway 20 669 1.8× 146 1.2× 205 1.8× 124 1.2× 72 0.8× 50 986
Zheng Jiang China 19 527 1.4× 211 1.7× 171 1.5× 111 1.0× 171 1.9× 36 974
Jun Zheng China 15 310 0.8× 174 1.4× 109 0.9× 56 0.5× 53 0.6× 45 593
Sarah Yoon South Korea 15 574 1.6× 286 2.3× 180 1.6× 118 1.1× 146 1.6× 22 918
Fei Chu United States 16 574 1.6× 181 1.4× 381 3.3× 119 1.1× 125 1.4× 34 1.1k

Countries citing papers authored by Ming Lv

Since Specialization
Citations

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

Fields of papers citing papers by Ming Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Lv. A scholar is included among the top collaborators of Ming Lv 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 Ming Lv. Ming Lv 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.
Lv, Ming, Handong Yang, Wenwen Wu, et al.. (2025). The clinical significance of T-cell regulation in hypertension treatment. PubMed. 16. 1550206–1550206. 2 indexed citations
2.
Xiao, Guangxu, Yuhan Zhao, Hongying Du, et al.. (2023). Guanxinning injection ameliorates cardiac remodeling in HF mouse and 3D heart spheroid models via p38/FOS/MMP1-mediated inhibition of myocardial hypertrophy and fibrosis. Biomedicine & Pharmacotherapy. 162. 114642–114642. 20 indexed citations
3.
Wei, Qi, et al.. (2022). Signature constructed by glycolysis-immune-related genes can predict the prognosis of osteosarcoma patients. Investigational New Drugs. 40(4). 818–830. 14 indexed citations
4.
Wei, Qi, et al.. (2021). Prognostic Signature of Osteosarcoma Based on 14 Autophagy-Related Genes. Pathology & Oncology Research. 27. 1609782–1609782. 14 indexed citations
5.
Duan, Yanting, Longlong Luo, Chunxia Qiao, et al.. (2019). A novel human anti‐AXL monoclonal antibody attenuates tumour cell migration. Scandinavian Journal of Immunology. 90(2). e12777–e12777. 23 indexed citations
6.
Huang, Qin, Ming Lv, Xiaofang He, et al.. (2018). Low Concentrations of Caffeine and Its Analogs Extend the Lifespan of Caenorhabditis elegans by Modulating IGF-1-Like Pathway. Frontiers in Aging Neuroscience. 10. 211–211. 15 indexed citations
7.
Liu, Changjun, Ming Lv, Zongyun Chen, et al.. (2016). Seroprevalence of human immunodeficiency virus, hepatitis B and C viruses, and Treponema pallidum infections among blood donors at Shiyan, Central China. BMC Infectious Diseases. 16(1). 531–531. 24 indexed citations
9.
Zhu, Ting, et al.. (2015). Neddylation controls basal MKK7 kinase activity in breast cancer cells. Oncogene. 35(20). 2624–2633. 17 indexed citations
10.
Zhao, Lei, et al.. (2015). Therapeutic effect of lymphokine-activated killer cells treated with low-dose ionizing radiation on osteosarcoma. Oncology Letters. 10(2). 879–882. 3 indexed citations
11.
Wang, Qun, Jing Yang, Tang Kun, et al.. (2014). Pharmacological characteristics and efficacy of a novel anti-angiogenic antibody FD006 in corneal neovascularization. BMC Biotechnology. 14(1). 17–17. 13 indexed citations
12.
Yang, Jing, Qun Wang, Chunxia Qiao, et al.. (2014). Potent anti-angiogenesis and anti-tumor activity of a novel human anti-VEGF antibody, MIL60. Cellular and Molecular Immunology. 11(3). 285–293. 22 indexed citations
13.
Luo, Longlong, Qun Luo, Leiming Guo, et al.. (2013). Structure-based affinity maturation of a chimeric anti-ricin antibody C4C13. Journal of Biomolecular Structure and Dynamics. 32(3). 416–423. 6 indexed citations
14.
Guo, Yuanyuan, Wendie Wang, Jing Wang, et al.. (2012). Receptor for activated C kinase 1 promotes hepatocellular carcinoma growth by enhancing mitogen-activated protein kinase kinase 7 activity. Hepatology. 57(1). 140–151. 57 indexed citations
15.
Hu, Yi, Chunxia Qiao, Ming Lv, et al.. (2012). Arg9 facilitates the translocation and downstream signal inhibition of an anti-HER2 single chain antibody. BMC Research Notes. 5(1). 336–336. 3 indexed citations
16.
Qiao, Chunxia, Ming Lv, Lin Zhou, et al.. (2012). Structural basis of LaDR5, a novel agonistic anti-death receptor 5 (DR5) monoclonal antibody, to inhibit DR5/TRAIL complex formation. BMC Immunology. 13(1). 40–40. 1 indexed citations
17.
Wang, Jing, Ming Lv, Qingyang Wang, et al.. (2010). Defective anchoring of JNK1 in the cytoplasm by MKK7 in Jurkat cells is associated with resistance to Fas-mediated apoptosis. Molecular Biology of the Cell. 22(1). 117–127. 16 indexed citations
18.
Cui, Jian, Qingyang Wang, Jing Wang, et al.. (2009). Basal c-Jun NH2-terminal protein kinase activity is essential for survival and proliferation of T-cell acute lymphoblastic leukemia cells. Molecular Cancer Therapeutics. 8(12). 3214–3222. 40 indexed citations
19.
Wang, Jing, Lin Zhou, Ming Lv, et al.. (2008). Characterization of a Novel Anti-DR5 Monoclonal Antibody WD1 with the Potential to Induce Tumor Cell Apoptosis. Cellular and Molecular Immunology. 5(1). 55–60. 7 indexed citations
20.
Xia, Qing, Hongxia Wang, Jie Wang, et al.. (2005). Proteomic analysis of interleukin 6-induced differentiation in mouse myeloid leukemia cells. The International Journal of Biochemistry & Cell Biology. 37(6). 1197–1207. 14 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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