Wei Yu

6.1k total citations
132 papers, 4.2k citations indexed

About

Wei Yu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Wei Yu has authored 132 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 29 papers in Pulmonary and Respiratory Medicine and 29 papers in Oncology. Recurrent topics in Wei Yu's work include Prostate Cancer Treatment and Research (15 papers), RNA modifications and cancer (14 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Wei Yu is often cited by papers focused on Prostate Cancer Treatment and Research (15 papers), RNA modifications and cancer (14 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Wei Yu collaborates with scholars based in China, United States and France. Wei Yu's co-authors include Marie Annick Buendia, Christine Neuveut, Charlotte Labalette, Claire-Angélique Renard, Marie‐Annick Buendia, Jeanne Tran Van Nhieu, Biaoyang Lin, Claire Renard, Laurence Lévy and Qichun Wei and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Wei Yu

125 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Yu China 34 2.5k 829 764 637 491 132 4.2k
Hiroaki Kanda Japan 22 2.0k 0.8× 1.2k 1.4× 624 0.8× 699 1.1× 735 1.5× 98 3.9k
Ilona Kovalszky Hungary 40 2.1k 0.9× 932 1.1× 1.0k 1.3× 703 1.1× 607 1.2× 182 4.8k
Kai Breuhahn Germany 41 3.1k 1.2× 1.0k 1.2× 1.4k 1.9× 530 0.8× 341 0.7× 128 5.2k
Matthias S. Matter Switzerland 32 1.6k 0.6× 903 1.1× 1.0k 1.3× 429 0.7× 421 0.9× 91 3.7k
Wei Qiu China 40 2.5k 1.0× 860 1.0× 1.1k 1.4× 432 0.7× 375 0.8× 112 4.3k
Davide Treré Italy 37 3.3k 1.3× 1.1k 1.3× 984 1.3× 373 0.6× 350 0.7× 128 4.7k
Yutaka Midorikawa Japan 31 1.7k 0.7× 689 0.8× 729 1.0× 518 0.8× 388 0.8× 110 3.4k
Hua Huang China 29 1.3k 0.5× 662 0.8× 658 0.9× 783 1.2× 446 0.9× 144 3.3k
Pei‐Yi Chu Taiwan 37 2.6k 1.0× 1.5k 1.8× 1.1k 1.5× 530 0.8× 726 1.5× 210 4.7k
Lingqiang Zhang China 46 4.1k 1.7× 1.3k 1.5× 1.1k 1.4× 786 1.2× 382 0.8× 182 5.8k

Countries citing papers authored by Wei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Yu. A scholar is included among the top collaborators of Wei Yu 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 Wei Yu. Wei Yu 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, Cong, Qian Zeng, Xin Ju, et al.. (2025). Mutant p53 Regulates Pyruvate Dehydrogenase Kinase 1 ( PDK1 ) to Promote Proliferation and Migration in Breast Cancer. Cancer Science. 117(2). 335–352.
2.
Guirouilh‐Barbat, Josée, Camille Gelot, Gaëlle Pennarun, et al.. (2025). Genome rearrangements induced by the stimulation of end-joining of DNA double strand breaks through multiple phosphorylation of MRE11 by the kinase PKB/AKT1. Nucleic Acids Research. 53(11).
3.
4.
Yu, Wei, Dian Zhang, He Shi, et al.. (2023). PDK1 promotes breast cancer progression by enhancing the stability and transcriptional activity of HIF-1α. Genes & Diseases. 11(4). 101041–101041. 8 indexed citations
5.
Yu, Wei, Heather Menden, Sheng Xia, et al.. (2023). IRF7 and UNC93B1 variants in an infant with recurrent herpes simplex virus infection. Journal of Clinical Investigation. 133(11). 12 indexed citations
6.
7.
Wu, Jiannan, et al.. (2023). Effects of LEF-11 acetylation modification on the regulation of baculovirus infection. Acta Virologica. 67(1). 42–50. 1 indexed citations
8.
Burrows, Nilka Rı́os, Alain K. Koyama, Devasmita Choudhury, et al.. (2022). Age-Related Association between Multimorbidity and Mortality in US Veterans with Incident Chronic Kidney Disease. American Journal of Nephrology. 53(8-9). 652–662. 6 indexed citations
9.
Yu, Wei, Zhenhua Liu, Yuke Chen, et al.. (2020). The inflammation patterns of different inflammatory cells in histological structures of hyperplasic prostatic tissues. Translational Andrology and Urology. 9(4). 1639–1649. 11 indexed citations
10.
Jiang, Lushun, Xuehang Jin, Zhe Wu, et al.. (2020). Inhibiting RRM2 to enhance the anticancer activity of chemotherapy. Biomedicine & Pharmacotherapy. 133. 110996–110996. 89 indexed citations
11.
Liu, Chen, Teli Liu, Zhongyi Zhang, et al.. (2020). 68Ga-PSMA PET/CT Combined with PET/Ultrasound-Guided Prostate Biopsy Can Diagnose Clinically Significant Prostate Cancer in Men with Previous Negative Biopsy Results. Journal of Nuclear Medicine. 61(9). 1314–1319. 61 indexed citations
12.
Zhang, Zhongyuan, Yu Fan, Cheng Shen, et al.. (2019). DDD score for renal tumor: An intuitive and comprehensive anatomical scoring system to access the outcomes of retroperitoneal laparoscopic partial nephrectomy. International Journal of Urology. 26(4). 451–456. 6 indexed citations
13.
Dahan, Jennifer, Florence Levillayer, Tian Xia, et al.. (2017). LIM-Only Protein FHL2 Is a Negative Regulator of Transforming Growth Factor β 1 Expression. Molecular and Cellular Biology. 37(10). 17 indexed citations
14.
Gu, Linhui, Jianguo Feng, Zhiguo Zheng, Haiyan Xu, & Wei Yu. (2016). Polyphyllin I inhibits the growth of ovarian cancer cells in nude mice. Oncology Letters. 12(6). 4969–4974. 28 indexed citations
15.
Fan, Yu, Shuai Hu, Jie Liu, et al.. (2014). Low Intraprostatic DHT Promotes the Infiltration of CD8+ T Cells in BPH TissuesviaModulation of CCL5 Secretion. Mediators of Inflammation. 2014. 1–9. 19 indexed citations
16.
Jin, Chengmeng, Wei Yu, Xiaoyan Lou, et al.. (2013). UCHL1 Is a Putative Tumor Suppressor in Ovarian Cancer Cells and Contributes to Cisplatin Resistance. Journal of Cancer. 4(8). 662–670. 61 indexed citations
17.
Ding, Dong, Xiaoyan Lou, Dasong Hua, et al.. (2012). Recurrent Targeted Genes of Hepatitis B Virus in the Liver Cancer Genomes Identified by a Next-Generation Sequencing–Based Approach. PLoS Genetics. 8(12). e1003065–e1003065. 151 indexed citations
18.
Yu, Wei, et al.. (2012). Dynamic protein-protein interaction subnetworks of lung cancer in cases with smoking history. Chinese Journal of Cancer. 32(2). 84–90. 6 indexed citations
19.
Renard, Claire-Angélique, Charlotte Labalette, Carolina Armengol, et al.. (2007). Tbx3 Is a Downstream Target of the Wnt/β-Catenin Pathway and a Critical Mediator of β-Catenin Survival Functions in Liver Cancer. Cancer Research. 67(3). 901–910. 120 indexed citations
20.
Ueda, Keiji, Wei Yu, & Don Ganem. (1996). Activation of N-myc2 Gene Expression byCis-Acting Elements of Oncogenic Hepadnaviral Genomes: Key Role of Enhancer II. Virology. 217(1). 413–417. 17 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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