Xuexia Zhou

1.4k total citations
30 papers, 908 citations indexed

About

Xuexia Zhou is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Xuexia Zhou has authored 30 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Xuexia Zhou's work include RNA modifications and cancer (12 papers), RNA Research and Splicing (11 papers) and MicroRNA in disease regulation (10 papers). Xuexia Zhou is often cited by papers focused on RNA modifications and cancer (12 papers), RNA Research and Splicing (11 papers) and MicroRNA in disease regulation (10 papers). Xuexia Zhou collaborates with scholars based in China, Montenegro and United States. Xuexia Zhou's co-authors include Cuiyun Sun, Shizhu Yu, Cuijuan Shi, Xuebing Li, Lin Yu, Dan Hua, Yuanming Cheng, Wenjun Luo, Zhiqin Xie and Wenwu Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Xuexia Zhou

29 papers receiving 903 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuexia Zhou China 17 779 469 76 70 42 30 908
Elisa Penna Italy 11 756 1.0× 649 1.4× 118 1.6× 77 1.1× 32 0.8× 13 909
Zina Jeyapalan Rutnam Canada 12 802 1.0× 729 1.6× 82 1.1× 91 1.3× 38 0.9× 15 1.0k
Shuyuan Shen China 16 623 0.8× 526 1.1× 40 0.5× 37 0.5× 42 1.0× 21 712
Keshuo Ding China 18 646 0.8× 487 1.0× 168 2.2× 68 1.0× 67 1.6× 32 878
Xuchao Zhu China 14 712 0.9× 631 1.3× 122 1.6× 79 1.1× 61 1.5× 16 931
Carlos Stahlhut United States 9 781 1.0× 680 1.4× 44 0.6× 52 0.7× 45 1.1× 15 951
Yanjun Wen China 13 423 0.5× 352 0.8× 67 0.9× 84 1.2× 24 0.6× 31 543
Paul D. Cao United States 10 615 0.8× 335 0.7× 96 1.3× 38 0.5× 65 1.5× 10 741
Felicity C. Kalinowski Australia 11 519 0.7× 449 1.0× 121 1.6× 139 2.0× 44 1.0× 11 741

Countries citing papers authored by Xuexia Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xuexia Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuexia Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xuexia Zhou. A scholar is included among the top collaborators of Xuexia Zhou 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 Xuexia Zhou. Xuexia Zhou 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.
Sun, Cuiyun, Qian Wang, Dan Hua, et al.. (2025). Hypoxia-induced S100A10 promotes glioblastoma malignancy and chemoresistance by activating PI3K-AKT signaling pathway. Functional & Integrative Genomics. 25(1). 202–202.
2.
Wang, Yixuan, Cuiyun Sun, Qian Wang, et al.. (2025). ZNRF2 is essential for gliomagenesis through orchestrating glycolysis and acts as a promising therapeutic target in glioma. Journal of Translational Medicine. 23(1). 185–185. 1 indexed citations
3.
Li, Xuebing, Hongli Pan, Yaguang Fan, et al.. (2023). Wilms’ tumour gene 1 (WT1) enhances non-small cell lung cancer malignancy and is inhibited by microRNA-498-5p. BMC Cancer. 23(1). 2 indexed citations
4.
Pan, Hongli, Hua Huang, Qiang Chen, et al.. (2023). Identification of SRSF10 as a promising prognostic biomarker with functional significance among SRSFs for glioma. Life Sciences. 338. 122392–122392. 8 indexed citations
5.
Zhou, Xuexia, Xuebing Li, Run Wang, et al.. (2022). Recruitment of LEF1 by Pontin chromatin modifier amplifies TGFBR2 transcription and activates TGFβ/SMAD signalling during gliomagenesis. Cell Death and Disease. 13(9). 818–818. 3 indexed citations
6.
Wang, Run, Xuebing Li, Cuiyun Sun, et al.. (2021). The ATPase Pontin is a key cell cycle regulator by amplifying E2F1 transcription response in glioma. Cell Death and Disease. 12(2). 141–141. 11 indexed citations
7.
Hua, Dan, Tang Li-da, Wei‐Ting Wang, et al.. (2020). Improved Antiglioblastoma Activity and BBB Permeability by Conjugation of Paclitaxel to a Cell‐Penetrative MMP‐2‐Cleavable Peptide. Advanced Science. 8(3). 2001960–2001960. 41 indexed citations
8.
Zhou, Xuexia, Xuebing Li, Lin Yu, et al.. (2019). The RNA-binding protein SRSF1 is a key cell cycle regulator via stabilizing NEAT1 in glioma. The International Journal of Biochemistry & Cell Biology. 113. 75–86. 41 indexed citations
9.
Shi, Cuijuan, Chun Rao, Cuiyun Sun, et al.. (2018). miR-29s function as tumor suppressors in gliomas by targeting TRAF4 and predict patient prognosis. Cell Death and Disease. 9(11). 1078–1078. 17 indexed citations
10.
Liu, Jing, Jie Yang, Lin Yu, et al.. (2018). miR-361-5p inhibits glioma migration and invasion by targeting SND1. OncoTargets and Therapy. Volume 11. 5239–5252. 22 indexed citations
11.
Zhou, Xuexia, Run Wang, Xuebing Li, et al.. (2018). Splicing factor SRSF1 promotes gliomagenesis via oncogenic splice-switching of MYO1B. Journal of Clinical Investigation. 129(2). 676–693. 109 indexed citations
12.
Luo, Wenjun, Cuiyun Sun, Junhu Zhou, et al.. (2018). miR-135a-5p Functions as a Glioma Proliferation Suppressor by Targeting Tumor Necrosis Factor Receptor–Associated Factor 5 and Predicts Patients' Prognosis. American Journal Of Pathology. 189(1). 162–176. 19 indexed citations
13.
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
14.
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
15.
Li, Xuebing, Xuexia Zhou, Yaguang Fan, et al.. (2016). WW45, a Gli1 binding protein, negatively regulated Hedgehog signaling in lung cancer. Oncotarget. 7(42). 68966–68975. 14 indexed citations
16.
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
17.
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
18.
Zhou, Xuexia, Wenwu Wu, Ning Wei, et al.. (2014). Genome-wide analysis of SRSF10-regulated alternative splicing by deep sequencing of chicken transcriptome. Genomics Data. 2. 20–23. 3 indexed citations
19.
Zhou, Xuexia, Wenwu Wu, Li Huang, et al.. (2014). Transcriptome analysis of alternative splicing events regulated by SRSF10 reveals position-dependent splicing modulation. Nucleic Acids Research. 42(6). 4019–4030. 79 indexed citations
20.
Wang, Zhijia, Xuexia Zhou, Yuanming Cheng, et al.. (2013). Far upstream element-binding protein 1 and RNA secondary structure both mediate second-step splicing repression. Proceedings of the National Academy of Sciences. 110(29). E2687–95. 38 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026