Daojun Lv

2.1k total citations · 1 hit paper
55 papers, 1.3k citations indexed

About

Daojun Lv is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Daojun Lv has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 22 papers in Pulmonary and Respiratory Medicine and 21 papers in Cancer Research. Recurrent topics in Daojun Lv's work include Cancer-related molecular mechanisms research (13 papers), Circular RNAs in diseases (12 papers) and MicroRNA in disease regulation (9 papers). Daojun Lv is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), Circular RNAs in diseases (12 papers) and MicroRNA in disease regulation (9 papers). Daojun Lv collaborates with scholars based in China, United States and Poland. Daojun Lv's co-authors include Fangpeng Shu, Shan‐Chao Zhao, Chong Wang, Yu‐Zhong Yu, Xian‐Lu Song, Xumin Zhou, Kaihui Wu, Bin Lei, Xiangming Mao and Xiangming Mao and has published in prestigious journals such as Journal of Hazardous Materials, The Journal of Urology and International Journal of Hydrogen Energy.

In The Last Decade

Daojun Lv

52 papers receiving 1.3k citations

Hit Papers

Gut dysbiosis promotes prostate cancer progression and do... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daojun Lv China 21 915 630 253 165 104 55 1.3k
Xinyu Shi China 17 632 0.7× 410 0.7× 220 0.9× 233 1.4× 224 2.2× 74 1.2k
Quanyan Liu China 22 973 1.1× 685 1.1× 165 0.7× 163 1.0× 58 0.6× 48 1.3k
Fangpeng Shu China 17 497 0.5× 382 0.6× 238 0.9× 79 0.5× 83 0.8× 35 889
Qingxia Zhao China 17 1.0k 1.1× 476 0.8× 58 0.2× 88 0.5× 127 1.2× 41 1.4k
Heming Li China 19 506 0.6× 325 0.5× 192 0.8× 475 2.9× 150 1.4× 60 1.1k
Xiaomei Tang China 14 439 0.5× 330 0.5× 149 0.6× 184 1.1× 57 0.5× 49 862
Ran Xu China 22 879 1.0× 583 0.9× 167 0.7× 146 0.9× 66 0.6× 52 1.3k
Shiyan Wang China 20 1.4k 1.5× 633 1.0× 107 0.4× 240 1.5× 129 1.2× 42 1.8k
Guojin Huang China 19 422 0.5× 168 0.3× 148 0.6× 196 1.2× 76 0.7× 44 899
Yi Jin China 14 507 0.6× 352 0.6× 122 0.5× 111 0.7× 138 1.3× 36 872

Countries citing papers authored by Daojun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Daojun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daojun Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Daojun Lv. A scholar is included among the top collaborators of Daojun 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 Daojun Lv. Daojun 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.
Song, Xian‐Lu, et al.. (2025). ELOVL2 mediated stabilization of AR contributes to enzalutamide resistance in prostate cancer. Frontiers in Cell and Developmental Biology. 13. 1598400–1598400.
2.
Yu, Yu‐Zhong, Daojun Lv, Tao Xie, et al.. (2024). NAT10 Promotes Prostate Cancer Growth and Metastasis by Acetylating mRNAs of HMGA1 and KRT8. Advanced Science. 11(32). e2310131–e2310131. 23 indexed citations
4.
Luo, Junqi, Taowei Yang, Jun Wu, et al.. (2023). Exosomal PGAM1 promotes prostate cancer angiogenesis and metastasis by interacting with ACTG1. Cell Death and Disease. 14(8). 40 indexed citations
5.
Cen, Shengren, et al.. (2023). Comprehensive analysis of the biological functions of endoplasmic reticulum stress in prostate cancer. Frontiers in Endocrinology. 14. 1090277–1090277. 2 indexed citations
6.
Yu, Yu‐Zhong, Daojun Lv, Chong Wang, et al.. (2022). Hsa_circ_0003258 promotes prostate cancer metastasis by complexing with IGF2BP3 and sponging miR-653-5p. Molecular Cancer. 21(1). 12–12. 108 indexed citations
8.
Zou, Libin, Wenbin Chen, Xumin Zhou, et al.. (2022). N6-methyladenosine demethylase FTO suppressed prostate cancer progression by maintaining CLIC4 mRNA stability. Cell Death Discovery. 8(1). 184–184. 33 indexed citations
9.
Zhong, Weibo, Kaihui Wu, Zining Long, et al.. (2022). Gut dysbiosis promotes prostate cancer progression and docetaxel resistance via activating NF-κB-IL6-STAT3 axis. Microbiome. 10(1). 94–94. 132 indexed citations breakdown →
10.
Zhang, Yichi, Yifeng Lin, Daojun Lv, et al.. (2022). Identification and validation of a novel signature for prediction the prognosis and immunotherapy benefit in bladder cancer. PeerJ. 10. e12843–e12843. 14 indexed citations
11.
Tan, Xiao, Wenbin Chen, Daojun Lv, et al.. (2021). LncRNA SNHG1 and RNA binding protein hnRNPL form a complex and coregulate CDH1 to boost the growth and metastasis of prostate cancer. Cell Death and Disease. 12(2). 138–138. 40 indexed citations
12.
Chen, Wenbin, Shengren Cen, Xumin Zhou, et al.. (2021). Circular RNA CircNOLC1, Upregulated by NF-KappaB, Promotes the Progression of Prostate Cancer via miR-647/PAQR4 Axis. Frontiers in Cell and Developmental Biology. 8. 624764–624764. 41 indexed citations
13.
Lv, Daojun, Yu‐Zhong Yu, Chong Wang, et al.. (2021). SMARCC1 Suppresses Tumor Progression by Inhibiting the PI3K/AKT Signaling Pathway in Prostate Cancer. Frontiers in Cell and Developmental Biology. 9. 678967–678967. 14 indexed citations
14.
Lv, Daojun, Xiangkun Wu, Ming Wang, et al.. (2021). Functional Assessment of Four Novel Immune-Related Biomarkers in the Pathogenesis of Clear Cell Renal Cell Carcinoma. Frontiers in Cell and Developmental Biology. 9. 621618–621618. 9 indexed citations
15.
Lv, Daojun, Xiangkun Wu, Xi Chen, et al.. (2021). A novel immune-related gene-based prognostic signature to predict biochemical recurrence in patients with prostate cancer after radical prostatectomy. Cancer Immunology Immunotherapy. 70(12). 3587–3602. 22 indexed citations
16.
Lei, Bin, et al.. (2019). UBE2W down‐regulation promotes cell apoptosis and correlates with hypospermatogenesis. Andrologia. 52(1). e13474–e13474. 5 indexed citations
17.
Wei, Yingying, Xue Wang, Daojun Lv, et al.. (2019). Dynamic Changes of DNA Methylation and Transcriptome Expression in Porcine Ovaries during Aging. BioMed Research International. 2019. 1–15. 11 indexed citations
18.
Lv, Daojun, Xian‐Lu Song, Bin Huang, et al.. (2019). HMGB1 Promotes Prostate Cancer Development and Metastasis by Interacting with Brahma-Related Gene 1 and Activating the Akt Signaling Pathway. Theranostics. 9(18). 5166–5182. 57 indexed citations
19.
Jiang, Hongye, et al.. (2019). Upregulated circZMIZ1 promotes the proliferation of prostate cancer cells and is a valuable marker in plasma. Neoplasma. 67(1). 68–77. 24 indexed citations
20.
Chen, Jianning, Daojun Lv, Muhammad Ali Raza, et al.. (2019). Comprehensive transcriptional profiling of aging porcine liver. PeerJ. 7. e6949–e6949. 6 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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