Qiao‐Li Lv

1.5k total citations · 1 hit paper
64 papers, 1.1k citations indexed

About

Qiao‐Li Lv is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qiao‐Li Lv has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 29 papers in Cancer Research and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qiao‐Li Lv's work include Cancer-related molecular mechanisms research (23 papers), Circular RNAs in diseases (13 papers) and MicroRNA in disease regulation (12 papers). Qiao‐Li Lv is often cited by papers focused on Cancer-related molecular mechanisms research (23 papers), Circular RNAs in diseases (13 papers) and MicroRNA in disease regulation (12 papers). Qiao‐Li Lv collaborates with scholars based in China, United States and Taiwan. Qiao‐Li Lv's co-authors include Hong‐Hao Zhou, Shuhui Chen, Lei Hu, Hong‐Hao Zhou, Chong-Zhen Qin, Qiang Qu, Guihua Wang, Lihua Zhang, Bao Sun and Xue Zhang and has published in prestigious journals such as Cancer Research, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Qiao‐Li Lv

61 papers receiving 1.1k citations

Hit Papers

The role of artificial intelligence and machine learning ... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiao‐Li Lv China 21 767 552 124 95 93 64 1.1k
Yongsheng Zhang China 19 604 0.8× 366 0.7× 157 1.3× 89 0.9× 72 0.8× 46 879
Zhigang Sun China 18 556 0.7× 323 0.6× 122 1.0× 76 0.8× 94 1.0× 49 842
Yidan Ren China 14 622 0.8× 307 0.6× 252 2.0× 121 1.3× 108 1.2× 23 1.0k
Zhirui Zeng China 17 632 0.8× 469 0.8× 138 1.1× 164 1.7× 105 1.1× 73 887
Hongyan Jin China 20 879 1.1× 557 1.0× 219 1.8× 65 0.7× 111 1.2× 32 1.3k
Rareş Drulă Romania 11 601 0.8× 292 0.5× 189 1.5× 115 1.2× 67 0.7× 18 914
Runping Fang China 18 733 1.0× 403 0.7× 154 1.2× 70 0.7× 82 0.9× 26 943
Haibin Zhang China 19 677 0.9× 399 0.7× 180 1.5× 77 0.8× 128 1.4× 55 1.2k

Countries citing papers authored by Qiao‐Li Lv

Since Specialization
Citations

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

Fields of papers citing papers by Qiao‐Li Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiao‐Li Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Qiao‐Li Lv. A scholar is included among the top collaborators of Qiao‐Li 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 Qiao‐Li Lv. Qiao‐Li 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.
Li, Ming, Zhiliang Xu, Shanhui Liang, et al.. (2025). Progress in ubiquitination and hepatocellular carcinoma: a bibliometric analysis. Discover Oncology. 16(1). 371–371. 1 indexed citations
2.
Lv, Qiao‐Li, Dongyu Liu, Xiaoling Xiong, et al.. (2025). Plasma Small Extracellular Vesicle microRNAs as Non-Invasive Biomarkers for Lung Cancer Detection. International Journal of Nanomedicine. Volume 20. 10999–11013.
3.
Wang, Xinqiang, Muhammad Nadeem Khan, Muhammad Shafiq, et al.. (2025). Six-year retrospective analysis of the epidemiology and risk factors of multidrug-resistant bloodstream infections in oncology patients in Jiangxi, China. Microbiology Spectrum. 13(10). e0146825–e0146825.
5.
Li, Bo, Ren Liu, Qiao‐Li Lv, et al.. (2024). NRF2 signaling plays an essential role in cancer progression through the NRF2-GPX2-NOTCH3 axis in head and neck squamous cell carcinoma. Oncogenesis. 13(1). 35–35. 1 indexed citations
6.
Bilal, Hazrat, et al.. (2024). Fungal Influences on Cancer Initiation, Progression, and Response to Treatment. Cancer Research. 85(3). 413–423. 6 indexed citations
7.
Liu, Xuefei, Changchun Wang, Qiao‐Li Lv, et al.. (2024). Abnormal Cellular Populations Shape Thymic Epithelial Tumor Heterogeneity and Anti‐Tumor by Blocking Metabolic Interactions in Organoids. Advanced Science. 11(42). e2406653–e2406653. 3 indexed citations
8.
Liu, Haiyun, et al.. (2023). Bacoside a inhibits the growth of glioma by promoting apoptosis and autophagy in U251 and U87 cells. Naunyn-Schmiedeberg s Archives of Pharmacology. 397(4). 2105–2120. 4 indexed citations
9.
Zhang, Zhe, Xiaoli Shen, Zilong Tan, et al.. (2023). Interferon gamma-related gene signature based on anti-tumor immunity predicts glioma patient prognosis. Frontiers in Genetics. 13. 1053263–1053263. 12 indexed citations
10.
Yu, Lulu, et al.. (2023). CircRNAs in tumor immunity and immunotherapy: Perspectives from innate and adaptive immunity. Cancer Letters. 564. 216219–216219. 27 indexed citations
11.
Xiao, Qi, Qiao‐Li Lv, Chen‐Hui Luo, et al.. (2023). A two-stage genome-wide association study identifies novel germline genetic variations in CACNA2D3 associated with radiotherapy response in nasopharyngeal carcinoma. Journal of Translational Medicine. 21(1). 11–11. 2 indexed citations
12.
Kang, Kai, Da‐Peng Wang, Qiao‐Li Lv, & Feng Chen. (2023). VEGF-A ameliorates ischemia hippocampal neural injury via regulating autophagy and Akt/CREB signaling in a rat model of chronic cerebral hypoperfusion. Journal of Stroke and Cerebrovascular Diseases. 32(11). 107367–107367. 5 indexed citations
13.
Wang, Yang, Fan Xiao, Yi Zhao, et al.. (2022). A two-stage genome-wide association study to identify novel genetic loci associated with acute radiotherapy toxicity in nasopharyngeal carcinoma. Molecular Cancer. 21(1). 169–169. 8 indexed citations
14.
Chen, Xueru, et al.. (2021). A Novel Inflammatory lncRNAs Prognostic Signature for Predicting the Prognosis of Low-Grade Glioma Patients. Frontiers in Genetics. 12. 697819–697819. 6 indexed citations
15.
Lu, Tianzhu, Xiaochang Gong, Qiao‐Li Lv, et al.. (2021). High Expression of Hyaluronan-Mediated Motility Receptor Predicts Adverse Outcomes: A Potential Therapeutic Target for Head and Neck Squamous Cell Carcinoma. Frontiers in Oncology. 11. 608842–608842. 23 indexed citations
16.
Zhang, Xue, et al.. (2021). Correction to: Akt/FoxM1 signaling pathway-mediated upregulation of MYBL2 promotes progression of human glioma. Journal of Experimental & Clinical Cancer Research. 40(1). 181–181. 1 indexed citations
17.
Yu, Kai, Huan Yang, Qiao‐Li Lv, et al.. (2021). Construction of a competitive endogenous RNA network and analysis of potential regulatory axis targets in glioblastoma. Cancer Cell International. 21(1). 102–102. 8 indexed citations
18.
Wang, Li-Chong, Shuhui Chen, Xiaoli Shen, et al.. (2020). M6A RNA Methylation Regulator HNRNPC Contributes to Tumorigenesis and Predicts Prognosis in Glioblastoma Multiforme. Frontiers in Oncology. 10. 536875–536875. 67 indexed citations
20.
Zhang, Xue, et al.. (2017). Akt/FoxM1 signaling pathway-mediated upregulation of MYBL2 promotes progression of human glioma. Journal of Experimental & Clinical Cancer Research. 36(1). 105–105. 83 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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