Yingxia Ning

629 total citations
20 papers, 354 citations indexed

About

Yingxia Ning is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yingxia Ning has authored 20 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Yingxia Ning's work include MicroRNA in disease regulation (5 papers), Cancer Cells and Metastasis (4 papers) and FOXO transcription factor regulation (4 papers). Yingxia Ning is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer Cells and Metastasis (4 papers) and FOXO transcription factor regulation (4 papers). Yingxia Ning collaborates with scholars based in China. Yingxia Ning's co-authors include Jianguo Cao, Xiaocheng Cao, Xin Luo, Kaiqun Ren, Meifang Quan, Meng Xu, Danyu Zhang, Xiuyun Li, Chang Xu and Fang Zhao and has published in prestigious journals such as Oncotarget, Biomedicine & Pharmacotherapy and Cancer Science.

In The Last Decade

Yingxia Ning

19 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingxia Ning China 10 212 147 109 49 33 20 354
Domenico Zito Italy 8 164 0.8× 123 0.8× 117 1.1× 78 1.6× 23 0.7× 12 427
Ulrika W. Nilsson Sweden 9 196 0.9× 128 0.9× 89 0.8× 60 1.2× 21 0.6× 10 398
Yolla Haibe Lebanon 8 196 0.9× 106 0.7× 155 1.4× 49 1.0× 31 0.9× 15 404
Jianhua Xu China 8 180 0.8× 107 0.7× 86 0.8× 60 1.2× 14 0.4× 13 302
Faying Xu China 4 289 1.4× 115 0.8× 105 1.0× 36 0.7× 27 0.8× 6 391
Nurmaa K. Dashzeveg Japan 10 243 1.1× 141 1.0× 130 1.2× 31 0.6× 18 0.5× 12 368
Xiaona Meng China 9 320 1.5× 179 1.2× 80 0.7× 95 1.9× 20 0.6× 17 446
Martyna Pakuła Poland 10 143 0.7× 57 0.4× 91 0.8× 45 0.9× 18 0.5× 15 289
Laura M. Popoviciu United States 6 139 0.7× 87 0.6× 92 0.8× 43 0.9× 31 0.9× 6 333
Fang Cui China 9 304 1.4× 219 1.5× 69 0.6× 49 1.0× 24 0.7× 18 455

Countries citing papers authored by Yingxia Ning

Since Specialization
Citations

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

Fields of papers citing papers by Yingxia Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxia Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxia Ning. A scholar is included among the top collaborators of Yingxia Ning 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 Yingxia Ning. Yingxia Ning 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.
Cao, Xiaozheng, Yaofeng Zhang, Yuwei Song, et al.. (2025). DNA methyltransferase 1/miR-342-3p/Forkhead box M1 signaling axis promotes self-renewal in cervical cancer stem-like cells in vitro and nude mice models. World Journal of Stem Cells. 17(3). 99472–99472. 1 indexed citations
2.
3.
Liu, Ting, et al.. (2023). Drug repositioning of disulfiram induces endometrioid epithelial ovarian cancer cell death via the both apoptosis and cuproptosis pathways. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 31(3). 333–343. 24 indexed citations
4.
Feng, Weifeng, Xinwei Guo, Yan Wang, et al.. (2023). A miRNA-205-based model for prediction of the recurrence of endometrioid endometrial cancer.. PubMed. 15(3). 1990–1995. 1 indexed citations
5.
Lv, Jin, Zhongqiu Lin, Yingxia Ning, et al.. (2022). Co-Overexpression of GRK5/ACTC1 Correlates With the Clinical Parameters and Poor Prognosis of Epithelial Ovarian Cancer. Frontiers in Molecular Biosciences. 8. 49–52. 5 indexed citations
6.
Ning, Yingxia, Zhaoyang Zeng, Weifeng Feng, et al.. (2021). VPS33B interacts with NESG1 to suppress cell growth and cisplatin chemoresistance in ovarian cancer. Cancer Science. 112(5). 1785–1797. 3 indexed citations
7.
Feng, Weifeng, et al.. (2021). High Expression of MYL9 Indicates Poor Clinical Prognosis of Epithelial Ovarian Cancer. Recent Patents on Anti-Cancer Drug Discovery. 16(4). 533–539. 9 indexed citations
8.
Yang, Fan, et al.. (2021). Sevoflurane alleviates hepatic ischaemia/reperfusion injury by up‐regulating miR‐96 and down‐regulating FOXO4. Journal of Cellular and Molecular Medicine. 25(13). 5899–5911. 6 indexed citations
9.
Ning, Yingxia, et al.. (2020). miR-6089/MYH9/β-catenin/c-Jun negative feedback loop inhibits ovarian cancer carcinogenesis and progression. Biomedicine & Pharmacotherapy. 125. 109865–109865. 44 indexed citations
10.
Xu, Chang, Xiaocheng Cao, Xiaozheng Cao, et al.. (2020). Isovitexin Inhibits Stemness and Induces Apoptosis in Hepatocellular Carcinoma SK-Hep-1 Spheroids by Upregulating miR-34a Expression. Anti-Cancer Agents in Medicinal Chemistry. 20(14). 1654–1663. 12 indexed citations
11.
Yao, Tingting, et al.. (2020). FOXO1 overexpression is correlated with poor prognosis in epithelial ovarian cancer. Cancer Biomarkers. 28(1). 1–8. 12 indexed citations
12.
Zhang, Chen, et al.. (2018). Drug–target–disease network analysis of gene–phenotype connectivity for genistein in ovarian cancer. OncoTargets and Therapy. Volume 11. 8901–8908. 4 indexed citations
13.
Ning, Yingxia, Yinghong Cui, Xiang Li, et al.. (2018). Co-culture of ovarian cancer stem-like cells with macrophages induced SKOV3 cells stemness via IL-8/STAT3 signaling. Biomedicine & Pharmacotherapy. 103. 262–271. 56 indexed citations
14.
Zhao, Fang, Hui Liu, Xiuyun Li, et al.. (2017). Suppressing miR-199a-3p by promoter methylation contributes to tumor aggressiveness and cisplatin resistance of ovarian cancer through promoting DDR1 expression. Journal of Ovarian Research. 10(1). 50–50. 67 indexed citations
15.
Ning, Yingxia, Meng Xu, Xiaocheng Cao, Xiang‐Ding Chen, & Xin Luo. (2017). Inactivation of AKT, ERK and NF-κB by genistein derivative, 7-difluoromethoxyl-5,4′-di-n-octylygenistein, reduces ovarian carcinoma oncogenicity. Oncology Reports. 38(2). 949–958. 25 indexed citations
16.
Ning, Yingxia, et al.. (2017). Let-7d increases ovarian cancer cell sensitivity to a genistein analog by targeting c-Myc. Oncotarget. 8(43). 74836–74845. 19 indexed citations
17.
Ning, Yingxia, Qingxiu Li, Kaiqun Ren, Meifang Quan, & Jianguo Cao. (2014). 7-difluoromethoxyl-5,4′-di-n-octyl genistein inhibits ovarian cancer stem cell characteristics through the downregulation of FOXM1. Oncology Letters. 8(1). 295–300. 24 indexed citations
18.
19.
Ning, Yingxia, et al.. (2014). Septicemic melioidosis: a case report and literature review.. PubMed. 6(2). E1–4. 9 indexed citations
20.
Chen, Li, et al.. (2013). Casticin combination with Cisplatin in sub-toxic concentration induced apoptosis of human ovarian cancer HO-8910 cells in vitro. The Chinese-German Journal of Clinical Oncology. 12(1). 35–39.

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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