Yu Ren

4.6k total citations · 1 hit paper
82 papers, 3.6k citations indexed

About

Yu Ren is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yu Ren has authored 82 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 33 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Yu Ren's work include Cancer-related molecular mechanisms research (20 papers), MicroRNA in disease regulation (18 papers) and RNA modifications and cancer (10 papers). Yu Ren is often cited by papers focused on Cancer-related molecular mechanisms research (20 papers), MicroRNA in disease regulation (18 papers) and RNA modifications and cancer (10 papers). Yu Ren collaborates with scholars based in China, United States and Egypt. Yu Ren's co-authors include Chunsheng Kang, Xuan Zhou, Mei Mei, Peiyu Pu, Xubo Yuan, Qian Xiao-min, Chaoyong Liu, Lixia Long, Zhendong Shi and Guangxiu Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Yu Ren

79 papers receiving 3.6k citations

Hit Papers

Blood Exosomes Endowed with Magnetic and Targeting Proper... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Ren China 31 2.8k 2.1k 493 308 246 82 3.6k
Róisín M. Dwyer Ireland 31 1.8k 0.7× 1.2k 0.6× 829 1.7× 332 1.1× 291 1.2× 68 3.2k
Ute Reuning Germany 34 1.8k 0.7× 1.5k 0.7× 1.2k 2.4× 446 1.4× 586 2.4× 83 4.3k
Pengcheng Bu China 26 2.1k 0.8× 1.5k 0.7× 700 1.4× 280 0.9× 227 0.9× 50 2.9k
Raman Bahal United States 28 2.9k 1.1× 952 0.5× 178 0.4× 250 0.8× 240 1.0× 62 3.5k
Mansoureh Sameni United States 36 1.7k 0.6× 1.8k 0.9× 1.1k 2.3× 337 1.1× 177 0.7× 58 3.7k
Jennifer E. Koblinski United States 27 1.3k 0.5× 752 0.4× 829 1.7× 348 1.1× 222 0.9× 71 2.7k
Pilar de la Puente United States 22 1.2k 0.4× 855 0.4× 717 1.5× 609 2.0× 324 1.3× 50 2.7k
Cristina Federici Italy 23 3.6k 1.3× 2.1k 1.0× 458 0.9× 450 1.5× 779 3.2× 29 4.4k
Verónica Estrella United States 17 1.4k 0.5× 679 0.3× 462 0.9× 449 1.5× 279 1.1× 28 2.5k
Chad V. Pecot United States 26 1.8k 0.6× 1.1k 0.5× 865 1.8× 415 1.3× 389 1.6× 59 2.9k

Countries citing papers authored by Yu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ren. A scholar is included among the top collaborators of Yu Ren 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 Yu Ren. Yu Ren 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.
2.
Zhou, Zhijun, Qun Chen, Jingxuan Yang, et al.. (2025). Evaluation of Ferroptosis as a Biomarker to Predict Treatment Outcomes of Cancer Immunotherapy. Cancer Research Communications. 5(8). 1288–1297.
3.
Wang, Mo, Jianwei Zheng, Xiaoxue Yu, et al.. (2024). Targeting STAT3 potentiates CDK4/6 inhibitors therapy in head and neck squamous cell carcinoma. Cancer Letters. 593. 216956–216956. 4 indexed citations
4.
Wang, Yuhong, Bo Pang, Binbin Zhang, et al.. (2023). Lysine methylation promotes NFAT5 activation and determines temozolomide efficacy in glioblastoma. Nature Communications. 14(1). 4062–4062. 14 indexed citations
5.
Zhang, Haoran, Bo Zhang, Qin Wang, et al.. (2020). lncRNA HOTAIR Promotes DNA Repair and Radioresistance of Breast Cancer via EZH2. DNA and Cell Biology. 39(12). 2166–2173. 43 indexed citations
6.
Chen, Xiaohong, Feng Chen, Yu Ren, et al.. (2019). IL-6 signaling contributes to radioresistance of prostate cancer through key DNA repair-associated molecules ATM, ATR, and BRCA 1/2. Journal of Cancer Research and Clinical Oncology. 145(6). 1471–1484. 19 indexed citations
7.
Ren, Yu, Yunfei Wang, Jing Zhang, et al.. (2019). Targeted design and identification of AC1NOD4Q to block activity of HOTAIR by abrogating the scaffold interaction with EZH2. Clinical Epigenetics. 11(1). 29–29. 73 indexed citations
8.
Hu, Siyi, Yu Ren, Yue Wang, et al.. (2019). Surface plasmon resonance enhancement of photoluminescence intensity and bioimaging application of gold nanorod@CdSe/ZnS quantum dots. Beilstein Journal of Nanotechnology. 10. 22–31. 24 indexed citations
9.
Li, Yansheng, Yu Ren, Yunfei Wang, et al.. (2019). A Compound AC1Q3QWB Selectively Disrupts HOTAIR-Mediated Recruitment of PRC2 and Enhances Cancer Therapy of DZNep. Theranostics. 9(16). 4608–4623. 84 indexed citations
10.
Ren, Yu, Huanhuan Jia, Yiqi Xu, et al.. (2018). Paracrine and epigenetic control of CAF-induced metastasis: the role of HOTAIR stimulated by TGF-ß1 secretion. Molecular Cancer. 17(1). 5–5. 174 indexed citations
11.
Chen, Feng, Tao Huang, Yu Ren, et al.. (2016). Clinical significance of CDH13 promoter methylation as a biomarker for bladder cancer: a meta-analysis. BMC Urology. 16(1). 52–52. 14 indexed citations
12.
Zhou, Xuan, Su Liu, Guoshuai Cai, et al.. (2015). Long Non Coding RNA MALAT1 Promotes Tumor Growth and Metastasis by inducing Epithelial-Mesenchymal Transition in Oral Squamous Cell Carcinoma. Scientific Reports. 5(1). 15972–15972. 198 indexed citations
13.
Ren, Yu, Xuan Zhou, Lei Han, et al.. (2015). AC1MMYR2 impairs high dose paclitaxel-induced tumor metastasis by targeting miR-21/CDK5 axis. Cancer Letters. 362(2). 174–182. 51 indexed citations
14.
Zhou, Xuan, Yu Ren, Aiqin Liu, et al.. (2014). STAT3 inhibitor WP1066 attenuates miRNA-21 to suppress human oral squamous cell carcinoma growth in vitro and in vivo. Oncology Reports. 31(5). 2173–2180. 64 indexed citations
15.
Shi, Zhendong, Junxia Zhang, Qian Xiao-min, et al.. (2013). AC1MMYR2, an Inhibitor of Dicer-Mediated Biogenesis of Oncomir miR-21, Reverses Epithelial–Mesenchymal Transition and Suppresses Tumor Growth and Progression. Cancer Research. 73(17). 5519–5531. 157 indexed citations
16.
Zhang, Kailiang, Lei Han, Luyue Chen, et al.. (2013). Blockage of a miR-21/EGFR regulatory feedback loop augments anti-EGFR therapy in glioblastomas. Cancer Letters. 342(1). 139–149. 74 indexed citations
17.
Ren, Yu, et al.. (2012). Somatic cell nuclear transfer efficiency associated with donor cell types in the cashmere goat.. Journal of Animal and Veterinary Advances. 11(24). 4578–4584. 1 indexed citations
18.
Qiu, Xiaofei, et al.. (2012). Characterization of sphere-forming cells with stem-like properties from the small cell lung cancer cell line H446. Cancer Letters. 323(2). 161–170. 87 indexed citations
19.
Wu, Haiqing, Yu Ren, Shuo Li, et al.. (2012). In vitro culture and induced differentiation of sheep skeletal muscle satellite cells. Cell Biology International. 36(6). 579–587. 37 indexed citations
20.
Ren, Yu, Xuan Zhou, Mei Mei, et al.. (2010). MicroRNA-21 inhibitor sensitizes human glioblastoma cells U251 (PTEN-mutant) and LN229 (PTEN-wild type) to taxol. BMC Cancer. 10(1). 27–27. 189 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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