Yingya Wu

596 total citations
14 papers, 457 citations indexed

About

Yingya Wu is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Yingya Wu has authored 14 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Organic Chemistry. Recurrent topics in Yingya Wu's work include Virus-based gene therapy research (5 papers), Bacillus and Francisella bacterial research (4 papers) and Connexins and lens biology (4 papers). Yingya Wu is often cited by papers focused on Virus-based gene therapy research (5 papers), Bacillus and Francisella bacterial research (4 papers) and Connexins and lens biology (4 papers). Yingya Wu collaborates with scholars based in China, Canada and United States. Yingya Wu's co-authors include Chao Zhang, Ren Huang, Fenghua Yang, Peter H. Backx, Xiangmin Li, Qi Yang, Zhenguo Yang, Yú Chen, Ren‐Ke Li and Faryal Mehwish Awan and has published in prestigious journals such as PLoS ONE, Theranostics and Oncotarget.

In The Last Decade

Yingya Wu

13 papers receiving 455 citations

Peers

Yingya Wu
Yingya Wu
Citations per year, relative to Yingya Wu Yingya Wu (= 1×) peers Yucheng Zhong

Countries citing papers authored by Yingya Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingya Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingya Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingya Wu. A scholar is included among the top collaborators of Yingya Wu 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 Yingya Wu. Yingya Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Li, Hong, Guangxian Zhang, Yingya Wu, et al.. (2020). Synergistic inhibitory effect of resveratrol and TK/GCV therapy on melanoma cells. Journal of Cancer Research and Clinical Oncology. 146(6). 1489–1499. 10 indexed citations
2.
Li, Hong, Haiyan Du, Guang‐Xian Zhang, et al.. (2019). Curcumin plays a synergistic role in combination with HSV-TK/GCV in inhibiting growth of murine B16 melanoma cells and melanoma xenografts. PeerJ. 7. e7760–e7760. 12 indexed citations
3.
Xiao, Jianyong, Xiaolan Wang, Yingya Wu, et al.. (2018). Synergistic effect of resveratrol and HSV-TK/GCV therapy on murine hepatoma cells. Cancer Biology & Therapy. 20(2). 183–191. 15 indexed citations
4.
Zeng, Yan, William W. Du, Yingya Wu, et al.. (2017). A Circular RNA Binds To and Activates AKT Phosphorylation and Nuclear Localization Reducing Apoptosis and Enhancing Cardiac Repair. Theranostics. 7(16). 3842–3855. 327 indexed citations
5.
Zhang, Guang‐Xian, Xiancheng Zeng, Juan Liu, et al.. (2016). Dioscin suppresses hepatocellular carcinoma tumor growth by inducing apoptosis and regulation of TP53, BAX, BCL2 and cleaved CASP3. Phytomedicine. 23(12). 1329–1336. 51 indexed citations
6.
Xiao, Jianyong, Guang‐Xian Zhang, Bin Li, et al.. (2016). Dioscin augments HSV-tk-mediated suicide gene therapy for melanoma by promoting connexin-based intercellular communication. Oncotarget. 8(1). 798–807. 21 indexed citations
7.
Xiao, Jianyong, Guang‐Xian Zhang, Pengxiang Qiu, et al.. (2013). Tanshinone IIA Increases the Bystander Effect of Herpes Simplex Virus Thymidine Kinase/Ganciclovir Gene Therapy via Enhanced Gap Junctional Intercellular Communication. PLoS ONE. 8(7). e67662–e67662. 14 indexed citations
8.
Du, Biaoyan, Yurong Guo, Yi Hua, Yuhui Tan, & Yingya Wu. (2013). [The preliminary research on the gap junction mechanisms for synergistic effects of liuwei di-huang pill containing serum on suicide gene therapy of melanoma].. PubMed. 33(5). 651–8. 1 indexed citations
9.
Wu, Yingya. (2010). Enhancement of Liuwei Dihuang Bolus on Bystander Effect of HSV-tk/GCV Suicide Gene Therapy for Mice Melanoma Cells. Guangzhou Zhongyiyao Daxue xuebao. 1 indexed citations
10.
Hua, Yi, et al.. (2009). Investigate the mechanism of Liuwei Dihuang Bolus enhancing hepatocarcinoma suicide gene therapy from Cx26.. Zhonghua zhongyiyao zazhi. 24(9). 1200–1204. 1 indexed citations
11.
Wu, Yingya. (2009). Proliferation-inhibited and apoptosis-inducted effects of evodiamine on human hepatoma cell line HepG2. 2 indexed citations
12.
Wu, Yingya. (2008). Synergistic Killing Action of Suicide Gene System Combined with Medicated Serum of Liuwei Dihuang Bolus on Hepatoma Cells. Guangzhou Zhongyiyao Daxue xuebao. 1 indexed citations
13.
Chen, Weiwen, et al.. (2005). Effects of berberine, evodiamine and indirubin on gastric cancer cell. World Chinese Journal of Digestology. 13(4). 472–472.
14.
Du, Biaoyan, et al.. (2004). Retroviral Vector Introduced in the Construction of HSV1-tk/GCV Antitumor Suicide-gene Therapeutic System. Guangzhou Zhongyiyao Daxue xuebao. 21(5). 395–398. 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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