Kun Lv

2.6k total citations · 2 hit papers
67 papers, 1.8k citations indexed

About

Kun Lv is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Kun Lv has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 28 papers in Cancer Research and 13 papers in Immunology. Recurrent topics in Kun Lv's work include Cancer-related molecular mechanisms research (20 papers), RNA modifications and cancer (18 papers) and MicroRNA in disease regulation (12 papers). Kun Lv is often cited by papers focused on Cancer-related molecular mechanisms research (20 papers), RNA modifications and cancer (18 papers) and MicroRNA in disease regulation (12 papers). Kun Lv collaborates with scholars based in China, Ireland and Japan. Kun Lv's co-authors include Mengying Zhang, Xueqin Li, Hui Yang, Min Zhong, Qifeng Suo, Xiaolong Zhu, Yingying Zhang, Yingying Zhang, Weiya Pei and Mingzhe Ma and has published in prestigious journals such as ACS Nano, PLoS ONE and Scientific Reports.

In The Last Decade

Kun Lv

64 papers receiving 1.8k citations

Hit Papers

Hypoxia inducible lncRNA-CBSLR modulates ferroptosis thro... 2021 2026 2022 2024 2021 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Lv China 25 1.1k 742 448 232 162 67 1.8k
Le Anh Luong United Kingdom 24 1.3k 1.2× 617 0.8× 539 1.2× 120 0.5× 241 1.5× 32 2.1k
Feng Jiang China 25 1.2k 1.1× 597 0.8× 244 0.5× 121 0.5× 61 0.4× 70 1.7k
Yang Zheng China 17 782 0.7× 438 0.6× 241 0.5× 92 0.4× 155 1.0× 51 1.2k
Yu Han China 22 1.1k 1.0× 934 1.3× 203 0.5× 173 0.7× 101 0.6× 101 1.9k
Ning Shi China 23 768 0.7× 432 0.6× 208 0.5× 262 1.1× 89 0.5× 124 1.5k
Jing Ge China 22 907 0.8× 512 0.7× 268 0.6× 613 2.6× 94 0.6× 39 2.0k
Jiahai Shi China 21 977 0.9× 479 0.6× 137 0.3× 230 1.0× 252 1.6× 91 1.7k
Sucharita SenBanerjee United States 14 1.8k 1.6× 401 0.5× 327 0.7× 109 0.5× 243 1.5× 14 2.4k
Yan He China 20 772 0.7× 510 0.7× 314 0.7× 56 0.2× 117 0.7× 118 1.5k

Countries citing papers authored by Kun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Kun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Lv. A scholar is included among the top collaborators of Kun 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 Kun Lv. Kun 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.
Yang, Hui, Shengmei Zhu, Huijun Wei, et al.. (2025). tsRNADisease: a manually curated database of tsRNAs associated with human disease. Journal of genetics and genomics. 53(3). 537–543. 3 indexed citations
2.
Wen, Yongqiang, Wenhao Zhou, Jian Mao, et al.. (2025). Annexin A’s Life in Pan-Cancer: Especially in Glioma Immune Cells. NeuroMolecular Medicine. 27(1). 17–17. 1 indexed citations
4.
Lv, Kun, et al.. (2024). Extracellular vesicle-delivered hsa_circ_0090081 regulated by EIF4A3 enhances gastric cancer tumorigenesis. Cell Division. 19(1). 19–19. 1 indexed citations
5.
Xing, Yujie, Tao Ma, Kai Li, et al.. (2024). β-Hydroxybutyrate suppresses M1 macrophage polarization through β-hydroxybutyrylation of the STAT1 protein. Cell Death and Disease. 15(12). 874–874. 13 indexed citations
6.
Li, Chan, et al.. (2024). EIF4A3-Induced hsa_circ_0118578 Expression Enhances the Tumorigenesis of Papillary Thyroid Cancer. Cancer Biotherapy and Radiopharmaceuticals. 40(4). 285–292.
7.
Kong, Xiang, Shujun Wan, Lan Jiang, et al.. (2024). Increased serum extrachromosomal circular DNA SORBS1circle level is associated with insulin resistance in patients with newly diagnosed type 2 diabetes mellitus. Cellular & Molecular Biology Letters. 29(1). 12–12. 11 indexed citations
8.
Yang, Hui, Hanyu Zhou, Minjie Fu, et al.. (2024). TMEM64 aggravates the malignant phenotype of glioma by activating the Wnt/β-catenin signaling pathway. International Journal of Biological Macromolecules. 260(Pt 1). 129332–129332. 31 indexed citations
9.
Yang, Zhen, Xiaocen Liu, Hao Xu, et al.. (2024). Integrative analysis of genomic and epigenomic regulation reveals miRNA mediated tumor heterogeneity and immune evasion in lower grade glioma. Communications Biology. 7(1). 824–824. 32 indexed citations
10.
Sun, Yue, Liqun Guo, Deguo Wang, et al.. (2023). Metformin alleviates glucolipotoxicity-induced pancreatic β cell ferroptosis through regulation of the GPX4/ACSL4 axis. European Journal of Pharmacology. 956. 175967–175967. 22 indexed citations
11.
Zhu, Xiaolong, Xingwei Wu, Hui Yang, et al.. (2023). m6A-mediated upregulation of LINC01003 regulates cell migration by targeting the CAV1/FAK signaling pathway in glioma. Biology Direct. 18(1). 27–27. 4 indexed citations
12.
Zhou, Simin, Yue Sun, Yujie Xing, et al.. (2022). Exenatide ameliorates hydrogen peroxide-induced pancreatic β-cell apoptosis through regulation of METTL3-mediated m6A methylation. European Journal of Pharmacology. 924. 174960–174960. 22 indexed citations
13.
Yang, Hui, Xiaocen Liu, Xiaolong Zhu, et al.. (2022). GINS1 promotes the proliferation and migration of glioma cells through USP15-mediated deubiquitination of TOP2A. iScience. 25(9). 104952–104952. 18 indexed citations
14.
Xu, Yang, Xiaodong Wu, Wenjie Hu, et al.. (2021). RIP3 facilitates necroptosis through CaMKII and AIF after intracerebral hemorrhage in mice. Neuroscience Letters. 749. 135699–135699. 18 indexed citations
15.
Xing, Yujie, Shujun Wan, Yi Cheng, et al.. (2021). A SGLT2 Inhibitor Dapagliflozin Alleviates Diabetic Cardiomyopathy by Suppressing High Glucose-Induced Oxidative Stress in vivo and in vitro. Frontiers in Pharmacology. 12. 708177–708177. 56 indexed citations
16.
Zhu, Xiaolong, Hui Yang, Mengying Zhang, et al.. (2021). YTHDC1-mediated VPS25 regulates cell cycle by targeting JAK-STAT signaling in human glioma cells. Cancer Cell International. 21(1). 645–645. 28 indexed citations
17.
Liu, Xiaocen, Mengying Zhang, Xiaolong Zhu, et al.. (2021). Loss of FAM60A attenuates cell proliferation in glioma via suppression of PI3K/Akt/mTOR signaling pathways. Translational Oncology. 14(11). 101196–101196. 8 indexed citations
18.
Pei, Weiya, Yingying Zhang, Xueqin Li, et al.. (2020). LncRNA AK085865 depletion ameliorates asthmatic airway inflammation by modulating macrophage polarization. International Immunopharmacology. 83. 106450–106450. 34 indexed citations
19.
Zhang, Yingying, et al.. (2017). miR-155 contributes to Df1-induced asthma by increasing the proliferative response of Th cells via CTLA-4 downregulation. Cellular Immunology. 314. 1–9. 54 indexed citations
20.
Lv, Kun, et al.. (2015). Separation of ovule proteins during female gametophyte cellularization of Pinus tabuliformis using 2D-DIGE.. Plant Omics. 8(2). 106–111. 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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