Fajun Qu

846 total citations
32 papers, 630 citations indexed

About

Fajun Qu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Fajun Qu has authored 32 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Fajun Qu's work include Prostate Cancer Treatment and Research (10 papers), Renal cell carcinoma treatment (5 papers) and Epigenetics and DNA Methylation (4 papers). Fajun Qu is often cited by papers focused on Prostate Cancer Treatment and Research (10 papers), Renal cell carcinoma treatment (5 papers) and Epigenetics and DNA Methylation (4 papers). Fajun Qu collaborates with scholars based in China and United States. Fajun Qu's co-authors include Xiuwu Pan, Xingang Cui, Danfeng Xu, Sishun Gan, Chuanmin Chu, Hong Yi, Yi Gao, Jianqing Ye, Xingang Cui and Junkai Wang and has published in prestigious journals such as Frontiers in Immunology, Experimental Cell Research and Cancer Letters.

In The Last Decade

Fajun Qu

31 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fajun Qu China 16 401 244 182 119 80 32 630
Sishun Gan China 17 370 0.9× 212 0.9× 167 0.9× 144 1.2× 75 0.9× 29 550
Yuchuan Zhou China 11 310 0.8× 223 0.9× 212 1.2× 74 0.6× 52 0.7× 27 517
Baoying Yuan China 14 338 0.8× 277 1.1× 63 0.3× 129 1.1× 116 1.4× 24 604
Sheng Han China 17 355 0.9× 200 0.8× 93 0.5× 100 0.8× 89 1.1× 33 586
Guannan Tang China 14 407 1.0× 366 1.5× 78 0.4× 170 1.4× 60 0.8× 23 726
Guijuan Luo China 10 443 1.1× 317 1.3× 181 1.0× 133 1.1× 94 1.2× 12 645
Qingfeng Ni China 15 334 0.8× 256 1.0× 88 0.5× 113 0.9× 98 1.2× 32 586
Abdo J. Najy United States 14 367 0.9× 180 0.7× 111 0.6× 222 1.9× 56 0.7× 23 618
Alexandra Drakaki United States 12 430 1.1× 357 1.5× 103 0.6× 215 1.8× 94 1.2× 37 758

Countries citing papers authored by Fajun Qu

Since Specialization
Citations

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

Fields of papers citing papers by Fajun Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fajun Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Fajun Qu. A scholar is included among the top collaborators of Fajun Qu 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 Fajun Qu. Fajun Qu 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.
Dong, Keqin, Jie Ding, Jia Xia, et al.. (2024). CRISPR genome-wide screening identifies PAK1 as a critical driver of ARSI cross-resistance in prostate cancer progression. Cancer Letters. 587. 216725–216725. 8 indexed citations
2.
Chen, Wenjin, Hao Cao, Jianwei Cao, et al.. (2022). Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study. Cell Death and Disease. 13(1). 50–50. 14 indexed citations
3.
4.
Wu, Yanyuan, Bowen Shi, Fajun Qu, et al.. (2022). Modified Prostate Health Index Density Significantly Improves Clinically Significant Prostate Cancer (csPCa) Detection. Frontiers in Oncology. 12. 864111–864111. 11 indexed citations
5.
Chen, Shaojun, Lin Zhang, Xiuwu Pan, et al.. (2022). Tumor-associated macrophages promote migration and invasion via modulating IL-6/STAT3 signaling in renal cell carcinoma. International Immunopharmacology. 111. 109139–109139. 15 indexed citations
6.
Xu, Da, Hao Zhang, Haiyi Gong, et al.. (2020). Identification of a Potential Mechanism of Acute Kidney Injury During the Covid-19 Outbreak: A Study Based on Single-Cell Transcriptome Analysis. 20 indexed citations
7.
Pan, Xiuwu, Hao Zhang, Da Xu, et al.. (2020). Identification of a novel cancer stem cell subpopulation that promotes progression of human fatal renal cell carcinoma by single-cell RNA-seq analysis. International Journal of Biological Sciences. 16(16). 3149–3162. 43 indexed citations
8.
Liu, Xi, Lu Chen, Hong Yi, et al.. (2019). IFITM3 promotes bone metastasis of prostate cancer cells by mediating activation of the TGF-β signaling pathway. Cell Death and Disease. 10(7). 517–517. 49 indexed citations
9.
Chen, Lu, Yi Gao, Hai Huang, et al.. (2018). PPP5C promotes cell proliferation and survival in human prostate cancer by regulating of the JNK and ERK1/2 phosphorylation. OncoTargets and Therapy. Volume 11. 5797–5809. 13 indexed citations
10.
Cheng, Kejun, Lu Chen, Fajun Qu, et al.. (2018). α-Viniferin activates autophagic apoptosis and cell death by reducing glucocorticoid receptor expression in castration-resistant prostate cancer cells. Medical Oncology. 35(7). 105–105. 12 indexed citations
11.
Qu, Fajun, Jianqing Ye, Xiuwu Pan, et al.. (2018). MicroRNA-497-5p down-regulation increases PD-L1 expression in clear cell renal cell carcinoma. Journal of drug targeting. 27(1). 67–74. 47 indexed citations
12.
Gan, Sishun, Jian-Qing Ye, Fajun Qu, et al.. (2017). Inhibition of PCSK9 protects against radiation-induced damage of prostate cancer cells. OncoTargets and Therapy. Volume 10. 2139–2146. 37 indexed citations
13.
Chen, Ming, Jian-Qing Ye, Xingang Cui, et al.. (2017). Disruption of serine/threonine protein phosphatase 5 inhibits tumorigenesis of urinary bladder cancer cells. International Journal of Oncology. 51(1). 39–48. 8 indexed citations
14.
Pan, Xiuwu, Lu Chen, Hong Yi, et al.. (2016). EIF3D silencing suppresses renal cell carcinoma tumorigenesis via inducing G2/M arrest through downregulation of Cyclin B1/CDK1 signaling. International Journal of Oncology. 48(6). 2580–2590. 39 indexed citations
15.
Gao, Yi, Jingfei Teng, Hong Yi, et al.. (2015). The oncogenic role of EIF3D is associated with increased cell cycle progression and motility in prostate cancer. Medical Oncology. 32(7). 518–518. 24 indexed citations
16.
Pan, Xiuwu, Hai Huang, Yi Huang, et al.. (2015). Radiofrequency ablation versus partial nephrectomy for treatment of renal masses: A systematic review and meta‐analysis. The Kaohsiung Journal of Medical Sciences. 31(12). 649–658. 24 indexed citations
17.
18.
Zhang, Xiangmin, Dongxu Zhang, Fajun Qu, et al.. (2014). Knockdown of NOB1 expression inhibits the malignant transformation of human prostate cancer cells. Molecular and Cellular Biochemistry. 396(1-2). 1–8. 12 indexed citations
19.
Qu, Fajun, Xingang Cui, Hong Yi, et al.. (2013). MicroRNA-185 suppresses proliferation, invasion, migration, and tumorigenicity of human prostate cancer cells through targeting androgen receptor. Molecular and Cellular Biochemistry. 377(1-2). 121–130. 81 indexed citations
20.
Cui, Xingang, Danfeng Xu, Chao Lv, et al.. (2011). Suppression of MED19 expression by shRNA induces inhibition of cell proliferation and tumorigenesis in human prostate cancer cells. BMB Reports. 44(8). 547–552. 15 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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