Aibing Wu

1.0k total citations
27 papers, 774 citations indexed

About

Aibing Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Aibing Wu has authored 27 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Aibing Wu's work include Cancer-related gene regulation (7 papers), RNA modifications and cancer (5 papers) and Cancer-related molecular mechanisms research (5 papers). Aibing Wu is often cited by papers focused on Cancer-related gene regulation (7 papers), RNA modifications and cancer (5 papers) and Cancer-related molecular mechanisms research (5 papers). Aibing Wu collaborates with scholars based in China. Aibing Wu's co-authors include Zhixiong Yang, Weiren Luo, Weiyi Fang, Siyi Li, Kai‐Tai Yao, Zhen Liu, Xiaoli Yu, Yuzhou Wang, Yan Zhen and Qianbing Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Life Sciences.

In The Last Decade

Aibing Wu

27 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aibing Wu China	15	442	367	277	110	61	27	774
Xubin Deng China	17	731 1.7×	583 1.6×	223 0.8×	67 0.6×	48 0.8×	27	948
Zengfu Xue China	14	607 1.4×	452 1.2×	219 0.8×	76 0.7×	119 2.0×	20	897
Jun Hao China	18	735 1.7×	533 1.5×	192 0.7×	143 1.3×	84 1.4×	38	1.0k
Dat Nguyen United States	10	414 0.9×	237 0.6×	238 0.9×	71 0.6×	102 1.7×	20	701
Paola Bianca Italy	5	341 0.8×	204 0.6×	322 1.2×	105 1.0×	60 1.0×	6	639
Xianzi Wen China	17	577 1.3×	282 0.8×	150 0.5×	92 0.8×	88 1.4×	35	759
Kuniaki Sato Japan	17	537 1.2×	339 0.9×	236 0.9×	99 0.9×	80 1.3×	66	852
Marisol González-Huarriz Spain	14	419 0.9×	237 0.6×	314 1.1×	72 0.7×	35 0.6×	25	734
Gongmin Zhu China	11	471 1.1×	265 0.7×	206 0.7×	133 1.2×	115 1.9×	16	765

Countries citing papers authored by Aibing Wu

Since Specialization

Citations

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

Fields of papers citing papers by Aibing Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aibing Wu

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

All Works

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20 of 20 papers shown

Chen, Hualin, Donghong Yang, Hua Tao, et al.. (2022). Activation of the Hedgehog pathway mediates resistance to epidermal growth factor receptor inhibitors in non-small cell lung cancer. Journal of Cancer. 13(3). 987–997. 12 indexed citations

Wu, Aibing, et al.. (2022). Discrete element modeling and physical experiment research on the biomechanical properties of cotton stalk. Computers and Electronics in Agriculture. 204. 107502–107502. 31 indexed citations

Wu, Aibing, et al.. (2019). SHCBP1 promotes cisplatin induced apoptosis resistance, migration and invasion through activating Wnt pathway. Life Sciences. 235. 116798–116798. 23 indexed citations

Chen, Hualin, Aibing Wu, Hua Tao, et al.. (2018). Concurrent versus sequential whole brain radiotherapy and TKI in EGFR-mutated NSCLC patients with brain metastasis. Medicine. 97(44). e13014–e13014. 16 indexed citations

Wu, Aibing, Jinmei Li, Kunpeng Wu, et al.. (2016). LATS2 as a poor prognostic marker regulates non-small cell lung cancer invasion by modulating MMPs expression. Biomedicine & Pharmacotherapy. 82. 290–297. 13 indexed citations

Zhen, Yan, Dongming Li, Wen Li, et al.. (2016). Reduced PDCD4 Expression Promotes Cell Growth Through PI3K/Akt Signaling in Non-Small Cell Lung Cancer. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 23(1). 61–68. 36 indexed citations

Wu, Aibing, Jinmei Li, Yuzhou Wang, et al.. (2015). Let-7a inhibits migration, invasion and epithelial-mesenchymal transition by targeting HMGA2 in nasopharyngeal carcinoma. Journal of Translational Medicine. 13(1). 105–105. 62 indexed citations

Yang, Zhixiong, et al.. (2015). High-mobility group A2 overexpression is an unfavorable prognostic biomarker for nasopharyngeal carcinoma patients. Molecular and Cellular Biochemistry. 409(1-2). 155–162. 19 indexed citations

Su, Wenmei, et al.. (2015). Controversies regarding T status and N status for non-small cell lung cancer.. PubMed. 8(7). 11675–82. 2 indexed citations

10.

Liu, Zhen, Yan Chen, Shengni Hua, et al.. (2014). Knocking down CDK4 mediates the elevation of let-7c suppressing cell growth in nasopharyngeal carcinoma. BMC Cancer. 14(1). 274–274. 20 indexed citations

11.

Wang, Yuzhou, Kunpeng Wu, Aibing Wu, et al.. (2014). MMP-14 overexpression correlates with poor prognosis in non-small cell lung cancer. Tumor Biology. 35(10). 9815–9821. 53 indexed citations

12.

Liu, Yi, et al.. (2014). Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy. World Journal of Surgical Oncology. 12(1). 95–95. 39 indexed citations

13.

Li, Shujun, et al.. (2014). [Clinical significance of MMP2 overexpression in endometrial adenocarcinoma].. PubMed. 34(3). 423–5. 6 indexed citations

14.

Qi, Songtao, Ye Song, Yu-Ping Peng, et al.. (2012). ZEB2 Mediates Multiple Pathways Regulating Cell Proliferation, Migration, Invasion, and Apoptosis in Glioma. PLoS ONE. 7(6). e38842–e38842. 149 indexed citations

15.

Luo, Weiren, Xiaoyi Chen, Siyi Li, Aibing Wu, & Kai‐Tai Yao. (2012). Neoplastic spindle cells in nasopharyngeal carcinoma show features of epithelial–mesenchymal transition. Histopathology. 61(1). 113–122. 39 indexed citations

16.

Wu, Aibing, Weiren Luo, Qianbing Zhang, et al.. (2012). Aldehyde dehydrogenase 1, a functional marker for identifying cancer stem cells in human nasopharyngeal carcinoma. Cancer Letters. 330(2). 181–189. 67 indexed citations

17.

Liu, Zhen, Jing Chen, Weiren Luo, et al.. (2012). Overexpressed DNA-binding protein inhibitor 2 as an unfavorable prognosis factor promotes cell proliferation in nasopharyngeal carcinoma. Acta Biochimica et Biophysica Sinica. 44(6). 503–512. 4 indexed citations

18.

Wu, Aibing, et al.. (2012). Upregulation of microRNA-492 induced by epigenetic drug treatment inhibits the malignant phenotype of clear cell renal cell carcinoma in vitro. Molecular Medicine Reports. 12(1). 1413–1420. 12 indexed citations

19.

Luo, Weiren, Aibing Wu, Weiyi Fang, Siyi Li, & Kai‐Tai Yao. (2012). Nuclear expression of N‐cadherin correlates with poor prognosis of nasopharyngeal carcinoma. Histopathology. 61(2). 237–246. 33 indexed citations

20.

Wu, Aibing, Bin Wu, Jinsong Guo, et al.. (2011). Elevated expression of CDK4 in lung cancer. Journal of Translational Medicine. 9(1). 38–38. 81 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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