Guangxiu Wang

3.1k total citations
55 papers, 2.4k citations indexed

About

Guangxiu Wang is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Guangxiu Wang has authored 55 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 31 papers in Cancer Research and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Guangxiu Wang's work include MicroRNA in disease regulation (25 papers), Circular RNAs in diseases (19 papers) and Cancer-related molecular mechanisms research (15 papers). Guangxiu Wang is often cited by papers focused on MicroRNA in disease regulation (25 papers), Circular RNAs in diseases (19 papers) and Cancer-related molecular mechanisms research (15 papers). Guangxiu Wang collaborates with scholars based in China, United States and Montenegro. Guangxiu Wang's co-authors include Peiyu Pu, Zhifan Jia, Chunsheng Kang, Anling Zhang, Lei Han, Xuan Zhou, Mei Mei, Yu Ren, Yongping You and Peng Xu and has published in prestigious journals such as PLoS ONE, Cancer Research and Brain Research.

In The Last Decade

Guangxiu Wang

55 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangxiu Wang China 24 1.9k 1.6k 181 177 110 55 2.4k
Shizhu Yu China 28 1.7k 0.9× 1.3k 0.8× 157 0.9× 154 0.9× 83 0.8× 55 2.1k
Zhendong Shi China 24 1.7k 0.9× 1.3k 0.8× 163 0.9× 137 0.8× 62 0.6× 37 2.0k
Mario Acunzo United States 31 2.3k 1.2× 1.9k 1.2× 239 1.3× 124 0.7× 153 1.4× 48 2.8k
Yuri D’Alessandra Italy 21 2.0k 1.1× 1.8k 1.1× 247 1.4× 68 0.4× 76 0.7× 37 2.8k
Sicong Zhang China 16 2.3k 1.2× 1.1k 0.7× 293 1.6× 104 0.6× 75 0.7× 32 2.6k
Aidong Zhou China 20 2.2k 1.1× 1.1k 0.7× 346 1.9× 127 0.7× 124 1.1× 44 2.6k
Kai Huang China 24 1.4k 0.7× 892 0.6× 240 1.3× 195 1.1× 84 0.8× 92 2.1k
Paulina Kucharzewska Poland 14 1.4k 0.7× 990 0.6× 147 0.8× 119 0.7× 44 0.4× 29 1.8k
Chandramu Chetty United States 24 923 0.5× 730 0.5× 451 2.5× 156 0.9× 98 0.9× 32 1.6k
Zhenhong Ni China 21 1.8k 0.9× 849 0.5× 204 1.1× 147 0.8× 98 0.9× 43 2.6k

Countries citing papers authored by Guangxiu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangxiu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxiu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxiu Wang. A scholar is included among the top collaborators of Guangxiu Wang 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 Guangxiu Wang. Guangxiu Wang 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.
Zhou, Junhu, Fei Tong, Jixing Zhao, et al.. (2023). Identification of the E2F1-RAD51AP1 axis as a key factor in MGMT-methylated GBM TMZ resistance. Cancer Biology and Medicine. 20(5). 385–400. 11 indexed citations
2.
Sun, Jikui, Banban Li, Zhifan Jia, et al.. (2018). RUNX3 inhibits glioma survival and invasion via suppression of the β-catenin/TCF-4 signaling pathway. Journal of Neuro-Oncology. 140(1). 15–26. 33 indexed citations
3.
Wang, Zengguang, Kai Huang, Yanwei Liu, et al.. (2018). PLK4 is a determinant of temozolomide sensitivity through phosphorylation of IKBKE in glioblastoma. Cancer Letters. 443. 91–107. 47 indexed citations
4.
Tian, Yuan, Minhua Ye, Anling Zhang, et al.. (2015). MicroRNAs let-7b/i suppress human glioma cell invasion and migration by targeting IKBKE directly. Biochemical and Biophysical Research Communications. 458(2). 307–312. 34 indexed citations
5.
Wang, Guangxiu, Fang Dai, Kai Yu, et al.. (2015). Resveratrol inhibits glioma cell growth via targeting oncogenic microRNAs and multiple signaling pathways. International Journal of Oncology. 46(4). 1739–1747. 78 indexed citations
6.
Chen, Luyue, Kailiang Zhang, Zhendong Shi, et al.. (2014). A lentivirus-mediated miR-23b sponge diminishes the malignant phenotype of glioma cells in vitro and in vivo. Oncology Reports. 31(4). 1573–1580. 66 indexed citations
7.
Li, Lei, et al.. (2013). Effect of short messaging service education on health behavior of adolescent patients with hypertension. Zhonghua xiandai huli zazhi. 19(28). 3466–3468. 1 indexed citations
8.
Wang, Kun, Zhifan Jia, Jian Zou, et al.. (2013). Analysis of hsa-miR-30a-5p Expression in Human Gliomas. Pathology & Oncology Research. 19(3). 405–411. 33 indexed citations
9.
Jia, Zhifan, Kun Wang, Anling Zhang, et al.. (2013). miR-19a and miR-19b Overexpression in Gliomas. Pathology & Oncology Research. 19(4). 847–853. 63 indexed citations
10.
Zhang, Anling, Jianwei Hao, Kun Wang, et al.. (2013). Down-regulation of miR-106b suppresses the growth of human glioma cells. Journal of Neuro-Oncology. 112(2). 179–189. 20 indexed citations
11.
Wang, Kun, Zhifan Jia, Anling Zhang, et al.. (2011). Inhibitory effects of knocking down microRNA-19a and microRNA-19b on glioma cell growth in vitro. Chinese Journal of Neuromedicine. 10(4). 365–368. 1 indexed citations
12.
Zhang, Chunzhi, Chunsheng Kang, Ping Wang, et al.. (2011). MicroRNA-221 and -222 Regulate Radiation Sensitivity by Targeting the PTEN Pathway. International Journal of Radiation Oncology*Biology*Physics. 80(1). 240–248. 56 indexed citations
13.
Ren, Yu, Xuan Zhou, Mei Mei, et al.. (2010). MicroRNA-21 inhibitor sensitizes human glioblastoma cells U251 (PTEN-mutant) and LN229 (PTEN-wild type) to taxol. BMC Cancer. 10(1). 27–27. 189 indexed citations
14.
Zhou, Xuan, Yu Ren, Lynette M. Moore, et al.. (2010). Downregulation of miR-21 inhibits EGFR pathway and suppresses the growth of human glioblastoma cells independent of PTEN status. Laboratory Investigation. 90(2). 144–155. 296 indexed citations
15.
Wang, Guangxiu, Chunsheng Kang, & Peiyu Pu. (2010). Increased expression of Akt2 and activity of PI3K and cell proliferation with the ascending of tumor grade of human gliomas. Clinical Neurology and Neurosurgery. 112(4). 324–327. 23 indexed citations
16.
Zhang, Chunzhi, Junxia Zhang, Anling Zhang, et al.. (2010). MiR-221 and miR-222 target PUMA to induce cell survival in glioblastoma. Molecular Cancer. 9(1). 229–229. 249 indexed citations
17.
Xu, Peng, Shizhu Yu, Rongcai Jiang, et al.. (2009). Differential Expression of Notch Family Members in Astrocytomas and Medulloblastomas. Pathology & Oncology Research. 15(4). 703–710. 35 indexed citations
18.
Jia, Zhifan, Qiang Huang, Chunsheng Kang, et al.. (2009). Overexpression of septin 7 suppresses glioma cell growth. Journal of Neuro-Oncology. 98(3). 329–340. 40 indexed citations
19.
Zhang, Qingyu, Chunsheng Kang, Jing Zhang, et al.. (2009). Inhibitory effects of adenovirus mediated Akt1 and PIK3R1 shRNA on the growth of malignant tumor cells in vitro and in vivo. Cancer Biology & Therapy. 8(11). 1002–1009. 17 indexed citations
20.
Xu, Peng, Mingzhe Qiu, Zhiyong Zhang, et al.. (2009). The oncogenic roles of Notch1 in astrocytic gliomas in vitro and in vivo. Journal of Neuro-Oncology. 97(1). 41–51. 62 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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