Puxiang Chen

943 total citations
20 papers, 710 citations indexed

About

Puxiang Chen is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Puxiang Chen has authored 20 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cancer Research and 6 papers in Epidemiology. Recurrent topics in Puxiang Chen's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (7 papers) and Epigenetics and DNA Methylation (5 papers). Puxiang Chen is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (7 papers) and Epigenetics and DNA Methylation (5 papers). Puxiang Chen collaborates with scholars based in China, United Kingdom and United States. Puxiang Chen's co-authors include Qiaoyan Li, Xiaoying Wu, Fufan Zhu, Guanghui Gong, Junpu Wang, Xiaolin Fang, Jun Zhou, Hong Tan, Zhulin Yang and Jifang Wen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Molecular Cancer.

In The Last Decade

Puxiang Chen

20 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Puxiang Chen China 13 555 482 58 56 41 20 710
Pradeep Chaluvally–Raghavan United States 12 344 0.6× 236 0.5× 133 2.3× 117 2.1× 61 1.5× 24 520
Meredith Hill Australia 6 490 0.9× 426 0.9× 41 0.7× 49 0.9× 43 1.0× 10 622
Lianqi Shao China 16 531 1.0× 453 0.9× 31 0.5× 38 0.7× 30 0.7× 21 616
Ananthi J. Asirvatham United States 8 340 0.6× 232 0.5× 79 1.4× 99 1.8× 57 1.4× 8 506
Xueren Gao China 16 332 0.6× 231 0.5× 99 1.7× 117 2.1× 39 1.0× 40 557
Feng-Wei Wang China 11 545 1.0× 478 1.0× 72 1.2× 36 0.6× 52 1.3× 11 663
Guixing Jiang China 14 489 0.9× 346 0.7× 139 2.4× 114 2.0× 55 1.3× 26 676
Jianhuang Lin United States 10 402 0.7× 109 0.2× 127 2.2× 83 1.5× 28 0.7× 13 498

Countries citing papers authored by Puxiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Puxiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puxiang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Puxiang Chen. A scholar is included among the top collaborators of Puxiang Chen 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 Puxiang Chen. Puxiang Chen 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.
Chen, Yan, Xiang Li, Puxiang Chen, et al.. (2025). ZNF671 methylation is a potential regression predictor of cervical intraepithelial neoplasia grade 3 in the colposcopy-to-conization interval. Pathology - Research and Practice. 273. 156116–156116. 1 indexed citations
2.
3.
Li, Xiang, Yan Chen, Jing Xiong, et al.. (2024). Biomarkers differentiating regression from progression among untreated cervical intraepithelial neoplasia grade 2 lesions. Journal of Advanced Research. 74. 391–402. 4 indexed citations
4.
Zhu, Peng, Jing Xiong, Ding Yuan, et al.. (2023). ZNF671 methylation test in cervical scrapings for cervical intraepithelial neoplasia grade 3 and cervical cancer detection. Cell Reports Medicine. 4(8). 101143–101143. 15 indexed citations
5.
Liu, Yuxiang, Yan Chen, Jing Xiong, et al.. (2023). Performance of DNA methylation analysis in the detection of high-grade cervical intraepithelial neoplasia or worse (CIN3+): a cross-sectional study. Infectious Agents and Cancer. 18(1). 77–77. 3 indexed citations
6.
Chen, Puxiang, Qinghua Zhang, & Ting Zhang. (2023). Melatonin Alleviates Perimenopausal Sleep Disorders by Regulating the Expression of MTNR1A and Hormone Level: A Retrospective Study. SHILAP Revista de lepidopterología. 50(2). 2 indexed citations
7.
Gao, Wenli, Han Wang, Ran Wang, et al.. (2022). Chronic Inflammation Pathway NF-κB Cooperates with Epigenetic Reprogramming to Drive the Malignant Progression of Glioblastoma. International Journal of Biological Sciences. 18(15). 5770–5786. 8 indexed citations
8.
Lou, Jiacheng, Meiwei Chen, Han Wang, et al.. (2020). Circular RNA CDR1as disrupts the p53/MDM2 complex to inhibit Gliomagenesis. Molecular Cancer. 19(1). 138–138. 158 indexed citations
9.
10.
Zhao, Yan, Qiaoyan Li, Xiaoying Wu, & Puxiang Chen. (2016). Upregulation of p27Kip1 by demethylation sensitizes cisplatin-resistant human ovarian cancer SKOV3 cells. Molecular Medicine Reports. 14(2). 1659–1666. 10 indexed citations
11.
Lv, Dekang, Xiang Wang, Jun Dong, et al.. (2016). Systematic characterization of lncRNAs' cell-to-cell expression heterogeneity in glioblastoma cells. Oncotarget. 7(14). 18403–18414. 20 indexed citations
12.
Li, Juanni, Long Li, Zexia Li, et al.. (2015). The role of miR-205 in the VEGF-mediated promotion of human ovarian cancer cell invasion. Gynecologic Oncology. 137(1). 125–133. 52 indexed citations
13.
Chen, Puxiang, Qiaoyan Li, & Zhulin Yang. (2015). Musashi-1 Expression is a Prognostic Factor in Ovarian Adenocarcinoma and Correlates with ALDH-1 Expression. Pathology & Oncology Research. 21(4). 1133–1140. 20 indexed citations
14.
Zhou, Jun, Guanghui Gong, Hong Tan, et al.. (2015). Urinary microRNA-30a-5p is a potential biomarker for ovarian serous adenocarcinoma. Oncology Reports. 33(6). 2915–2923. 145 indexed citations
15.
Zhou, Wei, et al.. (2015). Icariin stimulates the proliferation of rat bone mesenchymal stem cells via ERK and p38 MAPK signaling.. PubMed. 8(5). 7125–33. 50 indexed citations
16.
Chen, Puxiang, et al.. (2014). Upregulation of Limk1 caused by microRNA-138 loss aggravates the metastasis of ovarian cancer by activation of Limk1/cofilin signaling. Oncology Reports. 32(5). 2070–2076. 37 indexed citations
17.
Gong, Guanghui, Puxiang Chen, Long Li, et al.. (2014). Loss of lamin A but not lamin C expression in epithelial ovarian cancer cells is associated with metastasis and poor prognosis. Pathology - Research and Practice. 211(2). 175–182. 25 indexed citations
18.
Chen, Puxiang, Qiaoyan Li, & Zhulin Yang. (2013). Axl and prostasin are biomarkers for prognosis of ovarian adenocarcinoma. Annals of Diagnostic Pathology. 17(5). 425–429. 22 indexed citations
19.
Li, Qiaoyan, Fufan Zhu, & Puxiang Chen. (2012). miR-7 and miR-218 epigenetically control tumor suppressor genes RASSF1A and Claudin-6 by targeting HoxB3 in breast cancer. Biochemical and Biophysical Research Communications. 424(1). 28–33. 73 indexed citations
20.
Li, Hua, et al.. (2009). [Pathogenicity of Ureaplasma urealyticum serotype 3 in genital tract of mice].. PubMed. 44(3). 204–8. 1 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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