Wenjun Yu

893 total citations
36 papers, 630 citations indexed

About

Wenjun Yu is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Wenjun Yu has authored 36 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Hematology. Recurrent topics in Wenjun Yu's work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Wenjun Yu is often cited by papers focused on MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Wenjun Yu collaborates with scholars based in China, Sweden and Germany. Wenjun Yu's co-authors include Ji‐Fu Wei, Ling Meng, Zuotao Zhao, Marcus Maurer, Tomasz Hawro, Chunmei Ji, Jianyong Li, Xiaoyan Qu, Ji Xu and Lijuan Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Wenjun Yu

31 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenjun Yu China 13 250 202 198 146 125 36 630
D L Boyle United States 11 154 0.6× 53 0.3× 376 1.9× 65 0.4× 93 0.7× 11 713
Lucia Zanatta Italy 11 173 0.7× 49 0.2× 140 0.7× 83 0.6× 49 0.4× 19 651
Jinil Han South Korea 14 302 1.2× 180 0.9× 119 0.6× 40 0.3× 22 0.2× 32 633
Weiping Li China 9 86 0.3× 28 0.1× 74 0.4× 96 0.7× 71 0.6× 22 323
Mengjun Ma China 14 382 1.5× 151 0.7× 77 0.4× 45 0.3× 77 0.6× 26 595
Lawrence D. Adams United States 12 389 1.6× 92 0.5× 33 0.2× 136 0.9× 37 0.3× 16 729
Sandrine Eimer France 15 246 1.0× 70 0.3× 62 0.3× 139 1.0× 185 1.5× 26 743
Stéphane Flamant France 14 393 1.6× 265 1.3× 46 0.2× 28 0.2× 146 1.2× 29 721
Wei An China 14 304 1.2× 56 0.3× 57 0.3× 28 0.2× 59 0.5× 38 628
Gabriella Gaudioso Italy 16 369 1.5× 228 1.1× 32 0.2× 79 0.5× 52 0.4× 29 778

Countries citing papers authored by Wenjun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjun Yu. A scholar is included among the top collaborators of Wenjun 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 Wenjun Yu. Wenjun 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.
2.
Xu, Shugong, et al.. (2025). Enhanced Fingerprint-Based Positioning With Practical Imperfections: Deep Learning-Based Approaches. IEEE Wireless Communications. 33(1). 252–258. 2 indexed citations
3.
4.
Yang, Jing, Wenjun Yu, Shuangyan Li, et al.. (2024). Maternal immune activation upregulates the AU020206-IRFs-STAT1 axis in modulating cytokine production in the brain. Theranostics. 14(14). 5682–5697.
5.
Li, Wei, et al.. (2024). Automatic grading of knee osteoarthritis with a plain radiograph radiomics model: combining anteroposterior and lateral images. Insights into Imaging. 15(1). 143–143. 5 indexed citations
6.
Zhang, Daying, et al.. (2024). Effects of Remifentanil Pretreatment on Sufentanil-induced Cough Suppression During the Induction of General Anesthesia. Journal of PeriAnesthesia Nursing. 40(1). 90–94. 1 indexed citations
7.
Li, Wei, Jin Liu, Wenjun Yu, et al.. (2023). Deep learning-assisted knee osteoarthritis automatic grading on plain radiographs: the value of multiview X-ray images and prior knowledge. Quantitative Imaging in Medicine and Surgery. 13(6). 3587–3601. 13 indexed citations
8.
Deng, Dawei, Yang Li, Hongjie Shi, et al.. (2023). TREM2 Insufficiency Protects against Pulmonary Fibrosis by Inhibiting M2 Macrophage Polarization. International Immunopharmacology. 118. 110070–110070. 30 indexed citations
9.
Wang, Bohan, Le Fu, Junjie Song, et al.. (2023). Low-temperature and flexible strategy to in-situ fabricate ZrSiO 4-based ceramic composites via doping and tuning solid-state reaction. Journal of Advanced Ceramics. 12(6). 1238–1257. 11 indexed citations
10.
Lei, Luo, Chen Chen, Liqin Ji, et al.. (2023). Comparative genomic survey and functional analysis of DKKL1 during spermatogenesis in the Chinese soft-shelled turtle (Pelodiscus sinensis). International Journal of Biological Macromolecules. 254(Pt 1). 127696–127696. 3 indexed citations
11.
Xiong, Yu-Jie, et al.. (2023). Multiple dependence representation of attention graph convolutional network relation extraction model. IET Cyber-Physical Systems Theory & Applications. 9(3). 247–257. 3 indexed citations
12.
Yu, Wen, et al.. (2022). Mesoporous crystalline Ti1-xSnxO2 (0 < x < 1) solid solution for a high-performance photocatalyst under visible light irradiation. Frontiers in Chemistry. 10. 1111435–1111435. 1 indexed citations
13.
Bai, Hua, Huayuan Zhu, Qing Yan, et al.. (2018). Long Non-Coding RNA MEG3 Functions as a Competing Endogenous RNA to Regulate HOXA11 Expression by Sponging miR-181a in Multiple Myeloma. Cellular Physiology and Biochemistry. 49(1). 87–100. 35 indexed citations
14.
Zhao, Zuotao, Chunmei Ji, Wenjun Yu, et al.. (2016). Omalizumab for the treatment of chronic spontaneous urticaria: A meta-analysis of randomized clinical trials. Journal of Allergy and Clinical Immunology. 137(6). 1742–1750.e4. 197 indexed citations
15.
Zhou, Huimin, Rui Zhang, Lu Kang, et al.. (2016). Deregulation of miRNA-181c potentially contributes to the pathogenesis of AD by targeting collapsin response mediator protein 2 in mice. Journal of the Neurological Sciences. 367. 3–10. 27 indexed citations
16.
Chen, Lijuan, et al.. (2016). The amplification of 1q21 is an adverse prognostic factor in patients with multiple myeloma in a Chinese population. OncoTargets and Therapy. 9. 295–295. 17 indexed citations
17.
Qu, Xiaoyan, Min Zhao, Shuang Wu, et al.. (2014). Circulating microRNA 483-5p as a novel biomarker for diagnosis survival prediction in multiple myeloma. Medical Oncology. 31(10). 55 indexed citations
18.
Wu, Shuang, Wenjun Yu, Xiaoyan Qu, et al.. (2014). Argonaute 2 promotes myeloma angiogenesis via microRNA dysregulation. Journal of Hematology & Oncology. 7(1). 40–40. 34 indexed citations
19.
Zhao, Min, Shuang Wu, Wenjun Yu, et al.. (2013). Circulating microRNA 483-5p in multiple myeloma as a novel biomarker for diagnosis and predicting survival. Blood. 122(21). 5343–5343. 3 indexed citations
20.
Wang, Anqi, Zhanguo Wang, Wenjun Yu, et al.. (2012). Self-reference chemical profiling in the comprehensive dissolution test of herbal medicines. Journal of Pharmaceutical and Biomedical Analysis. 70. 117–125. 2 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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