Weiwei Yang

1.7k total citations
43 papers, 1.2k citations indexed

About

Weiwei Yang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Weiwei Yang has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Cancer Research and 13 papers in Immunology. Recurrent topics in Weiwei Yang's work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (7 papers) and MicroRNA in disease regulation (5 papers). Weiwei Yang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (7 papers) and MicroRNA in disease regulation (5 papers). Weiwei Yang collaborates with scholars based in China, United States and Germany. Weiwei Yang's co-authors include Xiaoming Jin, Ning Ning, He Chen, Tianzhen Wang, Zheng‐Xiang Li, Qiuting Wen, Li Xu, Ming Chen, Yinji Jin and Lin Li and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Weiwei Yang

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwei Yang China 20 709 456 279 256 141 43 1.2k
Lirong Peng China 22 1.1k 1.6× 303 0.7× 333 1.2× 319 1.2× 144 1.0× 47 1.6k
David E. Muench United States 14 812 1.1× 331 0.7× 279 1.0× 359 1.4× 81 0.6× 22 1.4k
Emiliano Dalla Italy 18 836 1.2× 278 0.6× 201 0.7× 215 0.8× 217 1.5× 39 1.2k
Zhen Xiang China 15 467 0.7× 299 0.7× 266 1.0× 201 0.8× 67 0.5× 28 1.1k
Andrea Mohr Ireland 21 839 1.2× 214 0.5× 318 1.1× 214 0.8× 135 1.0× 30 1.2k
Jian Wu China 21 956 1.3× 255 0.6× 474 1.7× 309 1.2× 393 2.8× 91 1.7k
Faqing Tang China 21 910 1.3× 338 0.7× 311 1.1× 119 0.5× 103 0.7× 55 1.4k
Lan Yang China 20 1.0k 1.4× 435 1.0× 270 1.0× 230 0.9× 103 0.7× 57 1.6k

Countries citing papers authored by Weiwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Yang. A scholar is included among the top collaborators of Weiwei Yang 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 Weiwei Yang. Weiwei Yang 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.
Guo, Ting, Liu Z, Jingwei Duan, et al.. (2023). Impaired dNKAP function drives genome instability and tumorigenic growth in Drosophila epithelia. Journal of Molecular Cell Biology. 15(12).
2.
Yang, Weiwei, et al.. (2023). Effects of carbamazepine on the central nervous system of zebrafish at human therapeutic plasma levels. iScience. 26(10). 107688–107688. 10 indexed citations
3.
Zhou, Depu, Huijing Xu, Weiwei Yang, et al.. (2023). FGF10 mitigates doxorubicin-induced myocardial toxicity in mice via activation of FGFR2b/PHLDA1/AKT axis. Acta Pharmacologica Sinica. 44(10). 2004–2018. 5 indexed citations
4.
Yang, Weiwei, et al.. (2022). UNC13D inhibits STING signaling by attenuating its oligomerization on the endoplasmic reticulum. EMBO Reports. 23(11). e55099–e55099. 14 indexed citations
5.
Zhu, Qiang, Hong Zhou, Liming Wu, et al.. (2022). O-GlcNAcylation promotes pancreatic tumor growth by regulating malate dehydrogenase 1. Nature Chemical Biology. 18(10). 1087–1095. 65 indexed citations
6.
Jiang, Tao, et al.. (2020). Hydrogen Sulfide Ameliorates Lung Ischemia-Reperfusion Injury Through SIRT1 Signaling Pathway in Type 2 Diabetic Rats. Frontiers in Physiology. 11. 596–596. 25 indexed citations
7.
Chen, Yuchen, Weiwei Yang, Ting Guo, et al.. (2020). The conserved microRNA miR-210 regulates lipid metabolism and photoreceptor maintenance in the Drosophila retina. Cell Death and Differentiation. 28(2). 764–779. 19 indexed citations
8.
Zhao, Ran, Jian Zhou, Minghui Zhang, et al.. (2020). AURKA Increase the Chemosensitivity of Colon Cancer Cells to Oxaliplatin by Inhibiting the TP53‐Mediated DNA Damage Response Genes. BioMed Research International. 2020(1). 8916729–8916729. 13 indexed citations
9.
Wang, Nan, Weiwei Yang, Lan Li, & Ming Tian. (2020). MEF2D upregulation protects neurons from oxygen–glucose deprivation/re-oxygenation-induced injury by enhancing Nrf2 activation. Brain Research. 1741. 146878–146878. 8 indexed citations
10.
Hao, Dapeng, Guangyu Wang, Weiwei Yang, et al.. (2019). Reactive versus Constitutive: Reconcile the Controversial Results about the Prognostic Value of PD-L1 Expression in cancer. International Journal of Biological Sciences. 15(9). 1933–1941. 2 indexed citations
11.
Guo, Ting, Xiaoye Jin, Weiwei Yang, et al.. (2019). The autophagy-related gene Atg101 in Drosophila regulates both neuron and midgut homeostasis. Journal of Biological Chemistry. 294(14). 5666–5676. 32 indexed citations
12.
An, Xiang, Yuanyuan Zhu, Tongsen Zheng, et al.. (2018). An Analysis of the Expression and Association with Immune Cell Infiltration of the cGAS/STING Pathway in Pan-Cancer. Molecular Therapy — Nucleic Acids. 14. 80–89. 125 indexed citations
13.
14.
Liu, Duanyang, Dan Kong, Jing Li, et al.. (2018). HE4 level in ascites may assess the ovarian cancer chemotherapeutic effect. Journal of Ovarian Research. 11(1). 47–47. 10 indexed citations
15.
Yang, Weiwei, Ning Ning, & Xiaoming Jin. (2017). The lncRNA H19 Promotes Cell Proliferation by Competitively Binding to miR-200a and Derepressing β-Catenin Expression in Colorectal Cancer. BioMed Research International. 2017. 1–8. 72 indexed citations
16.
Wang, Shuai, Yongkang Yang, Tao Chen, et al.. (2016). RNF 123 has an E3 ligase‐independent function in RIG ‐I‐like receptor‐mediated antiviral signaling. EMBO Reports. 17(8). 1155–1168. 15 indexed citations
17.
Shen, Guomin, Ning Ning, Xi Liu, et al.. (2015). Adipose differentiation-related protein is not involved in hypoxia inducible factor-1-induced lipid accumulation under hypoxia. Molecular Medicine Reports. 12(6). 8055–8061. 5 indexed citations
18.
Cui, Jie, Yunfeng Hu, Lei Xia, et al.. (2015). Expressions and clinical significance of autophagy-related markers Beclin1, LC3, and EGFR in human cervical squamous cell carcinoma. OncoTargets and Therapy. 8. 2243–2243. 25 indexed citations
19.
Chen, Haiwei, Yongkang Yang, Hao Xu, et al.. (2015). Ring finger protein 166 potentiates RNA virus-induced interferon-β production via enhancing the ubiquitination of TRAF3 and TRAF6. Scientific Reports. 5(1). 14770–14770. 36 indexed citations
20.
Yang, Weiwei, Wei Han, Jun Wu, et al.. (2013). Fibroblast activation protein-α promotes ovarian cancer cell proliferation and invasion via extracellular and intracellular signaling mechanisms. Experimental and Molecular Pathology. 95(1). 105–110. 39 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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