Yanjun Wen

673 total citations
31 papers, 543 citations indexed

About

Yanjun Wen is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yanjun Wen has authored 31 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Yanjun Wen's work include MicroRNA in disease regulation (8 papers), Cancer Research and Treatments (7 papers) and Virus-based gene therapy research (6 papers). Yanjun Wen is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cancer Research and Treatments (7 papers) and Virus-based gene therapy research (6 papers). Yanjun Wen collaborates with scholars based in China and Canada. Yanjun Wen's co-authors include Cuiyun Sun, Shizhu Yu, Cuijuan Shi, Lin Yu, Shujun Zhao, Yanyan Li, Xuexia Zhou, Linlin Ren, Jinling Xu and Qian Wang and has published in prestigious journals such as PLoS ONE, British Journal of Cancer and European Journal of Immunology.

In The Last Decade

Yanjun Wen

30 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanjun Wen China 13 423 352 84 67 31 31 543
Ley‐Hian Low Australia 9 694 1.6× 348 1.0× 67 0.8× 63 0.9× 26 0.8× 10 753
Constanze Zeller United Kingdom 11 410 1.0× 169 0.5× 41 0.5× 77 1.1× 32 1.0× 12 498
Puxiang Chen China 13 555 1.3× 482 1.4× 56 0.7× 58 0.9× 21 0.7× 20 710
Natalia Teider United States 7 398 0.9× 215 0.6× 38 0.5× 104 1.6× 29 0.9× 7 468
Scott Chartrand United States 5 236 0.6× 126 0.4× 46 0.5× 93 1.4× 28 0.9× 5 368
Alexander Shevelev Russia 13 356 0.8× 186 0.5× 92 1.1× 62 0.9× 73 2.4× 33 581
Daniela Alfano Italy 14 296 0.7× 300 0.9× 56 0.7× 149 2.2× 31 1.0× 18 554
Shunlin Jiang United States 10 349 0.8× 137 0.4× 59 0.7× 104 1.6× 22 0.7× 14 499
Olubunmi Afonja United States 9 484 1.1× 112 0.3× 63 0.8× 72 1.1× 37 1.2× 18 610
M Bennett United States 9 811 1.9× 643 1.8× 211 2.5× 112 1.7× 36 1.2× 9 1.1k

Countries citing papers authored by Yanjun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjun Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjun Wen. A scholar is included among the top collaborators of Yanjun Wen 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 Yanjun Wen. Yanjun Wen 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, Huining, Lin Yu, Jing Liu, et al.. (2017). miR-320a functions as a suppressor for gliomas by targeting SND1 and β-catenin, and predicts the prognosis of patients. Oncotarget. 8(12). 19723–19737. 44 indexed citations
2.
Shi, Cuijuan, Linlin Ren, Cuiyun Sun, et al.. (2017). miR-29a/b/c function as invasion suppressors for gliomas by targeting CDC42 and predict the prognosis of patients. British Journal of Cancer. 117(7). 1036–1047. 50 indexed citations
3.
Kan, Bing, Yang Li, Yanjun Wen, et al.. (2016). Irradiated VEGF164-modified tumor cell vaccine protected mice from the parental tumor challenge. Anti-Cancer Drugs. 28(2). 197–205. 2 indexed citations
4.
Xu, Hui, Jing Sun, Cuijuan Shi, et al.. (2015). miR-29s inhibit the malignant behavior of U87MG glioblastoma cell line by targeting DNMT3A and 3B. Neuroscience Letters. 590. 40–46. 32 indexed citations
5.
Liu, Jing, Jinling Xu, Huining Li, et al.. (2015). miR-146b-5p functions as a tumor suppressor by targeting TRAF6 and predicts the prognosis of human gliomas. Oncotarget. 6(30). 29129–29142. 80 indexed citations
6.
Sun, Jing, et al.. (2013). Effects of miR-29a on CDC42 expression and glioma cell migration and invasion. 40(11). 629–633. 2 indexed citations
7.
Sun, Cuiyun, Qian Wang, Shizhu Yu, et al.. (2013). Antisense MMP-9 RNA inhibits malignant glioma cell growth in vitro and in vivo. Neuroscience Bulletin. 29(1). 83–93. 27 indexed citations
8.
Wang, Ying, Yanyan Li, Jing Sun, et al.. (2013). Tumor-suppressive effects of miR-29c on gliomas. Neuroreport. 24(12). 637–645. 16 indexed citations
9.
Li, Yanyan, Ying Wang, Lin Yu, et al.. (2013). miR-146b-5p inhibits glioma migration and invasion by targeting MMP16. Cancer Letters. 339(2). 260–269. 105 indexed citations
10.
Gu, Jundong, Yanjun Wen, Siwei Zhu, et al.. (2013). Association between P16INK4a Promoter Methylation and Non-Small Cell Lung Cancer: A Meta-Analysis. PLoS ONE. 8(4). e60107–e60107. 25 indexed citations
11.
Deng, Hongxin, Qingyuan Jiang, Yang Yang, et al.. (2011). Intravenous liposomal delivery of the short hairpin RNAs against Plk1 controls the growth of established human hepatocellular carcinoma. Cancer Biology & Therapy. 11(4). 401–409. 10 indexed citations
12.
Zhao, Hui, et al.. (2011). Esophageal cancer associated with right aortic arch and thyroid adenoma. Thoracic Cancer. 2(3). 120–122. 1 indexed citations
13.
Chen, Ping, et al.. (2010). [Construction of recombinant adenovirus carrying HBx and mIL-12].. PubMed. 41(6). 936–40. 1 indexed citations
14.
Lu, Huimin, Qingqing Tang, Xingchen Peng, et al.. (2009). [Inhibition of tumour cells with hepatitis B virus x (HBx) gene adenoviral vector in vivo].. PubMed. 40(5). 803–6. 1 indexed citations
15.
Qin, Gang, et al.. (2007). Expression of Immunoglobulin M (IgM) in Multiple Epitheliogenic Malignant Tumor Tissue and Carcinoma Cell Lines. Zhongliu fangzhi yanjiu. 34(9). 686–689. 1 indexed citations
16.
Cao, Mei, Hongxin Deng, Jian Zhao, et al.. (2007). Antitumour activity of cationic‐liposome‐conjugated adenovirus containing the CCL19 [chemokine (C‐C motif) ligand 19] gene. Biotechnology and Applied Biochemistry. 48(2). 109–116. 8 indexed citations
17.
Li, Gang, Ling Tian, Yuquan Wei, et al.. (2005). [Fusion expression, purification and bioassay of IFN-gamma inducible protein-10 and thioredoxin gene in E. coli].. PubMed. 22(3). 535–9. 1 indexed citations
18.
Wu, Yang, Li Yang, Bing Hu, et al.. (2005). Synergistic anti-tumor effect of recombinant human endostatin adenovirus combined with gemcitabine. Anti-Cancer Drugs. 16(5). 551–557. 23 indexed citations
19.
Tan, Guang‐Hong, Yuquan Wei, Ling Tian, et al.. (2004). Active immunotherapy of tumors with a recombinant xenogeneic endoglin as a model antigen. European Journal of Immunology. 34(7). 2012–2021. 35 indexed citations
20.
Luo, Yan, Ling Tian, Yang Wu, et al.. (2004). [Prokaryotic expression, purification and refolding of extracellular ligand binding domains of chick Tie-2 and its immunogenicity].. PubMed. 35(2). 154–7. 1 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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