Kejun Guo

493 total citations
24 papers, 374 citations indexed

About

Kejun Guo is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Kejun Guo has authored 24 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Kejun Guo's work include Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers) and Cervical Cancer and HPV Research (2 papers). Kejun Guo is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers) and Cervical Cancer and HPV Research (2 papers). Kejun Guo collaborates with scholars based in China, United States and Germany. Kejun Guo's co-authors include Tian‐Ren Li, Fang Wen, Yuan Miao, Siyang Zhang, Yi Zhang, Yi Guo, Lei Dou, Yi Zhang, Yi Zhang and Guangping Wu and has published in prestigious journals such as Food Chemistry, Chemical Engineering Journal and International Journal of Biological Macromolecules.

In The Last Decade

Kejun Guo

21 papers receiving 372 citations

Peers

Kejun Guo

ONCOL

EPIDE

PRM

Haoming Xia China

Samira Sadeghi Iran

Andreea Nuţu Romania

Ana Barat Ireland

Xiao Yi China

Haoming Xia China

Kejun Guo

253 ×0.9

215 ×1.3

51 ×1.1

ONCOL

43 ×1.5

EPIDE

48 ×1.8

PRM

Citations per year, relative to Kejun Guo Kejun Guo (= 1×) peers Haoming Xia

Countries citing papers authored by Kejun Guo

Since Specialization

Citations

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

Fields of papers citing papers by Kejun Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Kejun Guo. A scholar is included among the top collaborators of Kejun Guo 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 Kejun Guo. Kejun Guo 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

Guo, Kejun, et al.. (2025). A self-powered photocatalytic fuel sensor for single-cell analysis with high reliability. Chemical Engineering Journal. 515. 163784–163784. 1 indexed citations

Zhang, Liang, et al.. (2025). Preparation and characterization of liposoluble tea polyphenol based functional emulsion films and the regulation of its releasing property. Food Chemistry. 476. 143413–143413. 4 indexed citations

Han, Xue, Kejun Guo, Ying Chen, et al.. (2024). Two-ways regulation of the emulsion gel properties of curdlan by dry ball milling treatment and their relationships with the microstructures, emulsification characteristics and gel properties of ball milled curdlan. Food Chemistry. 464(Pt 3). 141355–141355. 2 indexed citations

Zhang, Liang, Xue Han, Kejun Guo, et al.. (2024). Pickering emulsion gels with curdlan as both the emulsifier and the gelling agent: Emulsifying mechanism, gelling performance and gel properties. Food Chemistry. 465(Pt 1). 141971–141971. 5 indexed citations

Zhang, Liang, Yuqing Zhang, Kejun Guo, et al.. (2024). Variation of nanoparticles in pickering emulsion optimize the physical, control-release and sustained antioxidant properties of hydroxypropyl methylcellulose based microporous film. International Journal of Biological Macromolecules. 287. 138646–138646. 1 indexed citations

Zhong, Lin, Kejun Guo, Li Su, & Juan Wang. (2023). A sandwiched photoelectrochemical sensor for high-throughput single-cell analysis based on low-toxic and near-infrared AgInS2 microarray. Chemical Engineering Journal. 470. 144137–144137. 15 indexed citations

Guo, Kejun, et al.. (2023). Based on BP neural network glass cultural relics chemical category and composition prediction model construction. Highlights in Science Engineering and Technology. 42. 111–117.

Guo, Kejun, et al.. (2022). Extensions for Macaulay Duration, Modified Duration, and Further Study on Immunization Strategy. Advances in economics, business and management research. 211.

Zhou, Quanzhu, et al.. (2021). Green, fast and scalable preparation of few-layers graphene. FlatChem. 30. 100303–100303. 11 indexed citations

10.

Wu, Mingzhe, Shiyu Wang, Min Zheng, et al.. (2018). The Diagnostic Utility of p16 Immunostaining in Differentiating Cancer and HSIL from LSIL and Benign in Cervical Cells. Cell Transplantation. 28(2). 195–200. 15 indexed citations

11.

Zhang, Yi, et al.. (2015). MicroRNA-142-3p inhibits cell proliferation and invasion of cervical cancer cells by targeting FZD7. Tumor Biology. 36(10). 8065–8073. 75 indexed citations

12.

Zhang, Siyang, et al.. (2015). Down-regulation of Frizzled-7 expression inhibits migration, invasion, and epithelial–mesenchymal transition of cervical cancer cell lines. Medical Oncology. 32(4). 102–102. 35 indexed citations

13.

Dou, Lei, et al.. (2015). miR-27b is upregulated in cervical carcinogenesis and promotes cell growth and invasion by regulating CDH11 and epithelial-mesenchymal transition. Oncology Reports. 35(3). 1645–1651. 36 indexed citations

14.

Li, Tian‐Ren, et al.. (2015). Oncogene ATAD2 promotes cell proliferation, invasion and migration in cervical cancer. Oncology Reports. 33(5). 2337–2344. 51 indexed citations

15.

Li, Tian‐Ren, et al.. (2014). CDKN3 is an independent prognostic factor and promotes ovarian carcinoma cell proliferation in ovarian cancer. Oncology Reports. 31(4). 1825–1831. 36 indexed citations

16.

Bai, Xuefeng, Kejun Guo, Zhiguo J. Song, et al.. (2014). BRCA1 promoter hypermethylation in sporadic epithelial ovarian carcinoma: Association with low expression of BRCA1, improved survival and co-expression of DNA methyltransferases. Oncology Letters. 7(4). 1088–1096. 22 indexed citations

17.

Wu, Mingzhe, et al.. (2013). Transcription Expression and Clinical Significance of mRNA of Vascular Endothelial Growth Factor and Endostatin in Liquid-Based Preparation Specimens from Patients with Cervical Dysplasia and Carcinoma. Acta Cytologica. 57(5). 522–527. 2 indexed citations

18.

Xue, Hui, Yangchao Chen, Xiaopeng Cai, et al.. (2013). The combined effect of survivin-targeted shRNA and emodin on the proliferation and invasion of ovarian cancer cells. Anti-Cancer Drugs. 24(9). 937–944. 11 indexed citations

19.

Dai, Dong-Qiu, et al.. (2009). Comparative evaluation of the effects of 5-Aza-2’-deoxycytidine and Trichostatin A on reactivation of hMLH1 in COC1/DDP ovarian cancer cell line. Chinese Journal of Cancer Research. 21(2). 102–108. 1 indexed citations

20.

Dai, Dong‐Qiu, et al.. (2008). [Effects of 5-Aza-2'-deoxycytidine and trichostatin A on DNA methylation and expression of hMLH1 in ovarian cancer cell line COC1/DDP].. PubMed. 27(12). 1251–5. 6 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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