Kejun Zhou

1.8k total citations
47 papers, 1.3k citations indexed

About

Kejun Zhou is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Kejun Zhou has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Surgery and 13 papers in Oncology. Recurrent topics in Kejun Zhou's work include Pediatric Hepatobiliary Diseases and Treatments (14 papers), Drug Transport and Resistance Mechanisms (11 papers) and Liver Disease Diagnosis and Treatment (7 papers). Kejun Zhou is often cited by papers focused on Pediatric Hepatobiliary Diseases and Treatments (14 papers), Drug Transport and Resistance Mechanisms (11 papers) and Liver Disease Diagnosis and Treatment (7 papers). Kejun Zhou collaborates with scholars based in China, United States and Hong Kong. Kejun Zhou's co-authors include Yongtao Xiao, Wei Cai, Weihui Yan, Wei Cai, Wei Jia, Minghao Yin, Tianlu Chen, Guoxiang Xie, Yang Wang and Ying Lu and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Kejun Zhou

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kejun Zhou China 23 526 311 246 197 171 47 1.3k
Niels Kloosterhuis Netherlands 19 713 1.4× 268 0.9× 535 2.2× 140 0.7× 461 2.7× 46 1.7k
Yue Wu China 23 808 1.5× 290 0.9× 339 1.4× 151 0.8× 265 1.5× 97 1.9k
Lamiaa A. Ahmed Egypt 22 465 0.9× 163 0.5× 130 0.5× 107 0.5× 170 1.0× 71 1.4k
Sergio Rius‐Pérez Spain 16 554 1.1× 187 0.6× 188 0.8× 68 0.3× 315 1.8× 24 1.4k
Elijah Trefts United States 11 781 1.5× 223 0.7× 519 2.1× 127 0.6× 314 1.8× 16 1.8k
Min Kim South Korea 22 810 1.5× 118 0.4× 164 0.7× 93 0.5× 373 2.2× 59 1.4k
Honglan Zhou China 17 609 1.2× 230 0.7× 132 0.5× 115 0.6× 180 1.1× 67 1.2k
Lan Li China 18 526 1.0× 253 0.8× 543 2.2× 184 0.9× 168 1.0× 59 1.6k

Countries citing papers authored by Kejun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kejun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Kejun Zhou. A scholar is included among the top collaborators of Kejun 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 Kejun Zhou. Kejun 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
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Zhang, Naixin, Qiaochu Chen, Peipei Zhang, et al.. (2024). Quartet metabolite reference materials for inter-laboratory proficiency test and data integration of metabolomics profiling. Genome biology. 25(1). 34–34. 6 indexed citations
3.
Shi, Ling‐Feng, et al.. (2023). Novel Deep Learning Network for Gait Recognition Using Multimodal Inertial Sensors. Sensors. 23(2). 849–849. 37 indexed citations
4.
Xiao, Yongtao, Minghao Yin, Kejun Zhou, & Wei Cai. (2021). Targeted Metabolomics Reveals Birth Screening Biomarkers for Biliary Atresia in Dried Blood Spots. Journal of Proteome Research. 21(3). 721–726. 10 indexed citations
5.
Liang, Dandan, et al.. (2020). IP4M: an integrated platform for mass spectrometry-based metabolomics data mining. BMC Bioinformatics. 21(1). 444–444. 35 indexed citations
6.
Zheng, Xiaojiao, Kejun Zhou, Yunjing Zhang, et al.. (2018). Food withdrawal alters the gut microbiota and metabolome in mice. The FASEB Journal. 32(9). 4878–4888. 32 indexed citations
7.
Xiao, Yongtao, Kejun Zhou, Ying Lu, et al.. (2018). Administration of antibiotics contributes to cholestasis in pediatric patients with intestinal failure via the alteration of FXR signaling. Experimental & Molecular Medicine. 50(12). 1–14. 65 indexed citations
8.
Xiao, Yongtao, Minghao Yin, Ying Lu, Kejun Zhou, & Wei Cai. (2018). PHB2 interacts with LC3 and SQSTM1 is required for bile acids-induced mitophagy in cholestatic liver. Cell Death and Disease. 9(2). 160–160. 62 indexed citations
9.
Yan, Junkai, Yongtao Xiao, Jie Wen, et al.. (2017). Butyrate stimulates the growth of human intestinal smooth muscle cells by activation of yes‐associated protein. Journal of Cellular Physiology. 233(4). 3119–3128. 8 indexed citations
10.
Wang, Yang, Jun Wang, Minghao Yin, et al.. (2016). Contribution of Common Variants in GABRG2, RELN and NRG3 and Interaction Networks to the Risk of Hirschsprung Disease. Cellular Physiology and Biochemistry. 40(3-4). 509–526. 5 indexed citations
11.
Huang, Madelyn C., Christelle Douillet, Mingming Su, et al.. (2016). Metabolomic profiles of arsenic (+3 oxidation state) methyltransferase knockout mice: effect of sex and arsenic exposure. Archives of Toxicology. 91(1). 189–202. 22 indexed citations
12.
Cai, Lei, Tianlu Chen, Jinglei Yang, et al.. (2015). Serum trace element differences between Schizophrenia patients and controls in the Han Chinese population. Scientific Reports. 5(1). 15013–15013. 60 indexed citations
13.
Wen, Jie, Yongtao Xiao, Jun Wang, et al.. (2014). Low doses of CMV induce autoimmune-mediated and inflammatory responses in bile duct epithelia of regulatory T cell-depleted neonatal mice. Laboratory Investigation. 95(2). 180–192. 13 indexed citations
14.
Xiao, Yongtao, Jun Wang, Weihui Yan, et al.. (2014). Dysregulated miR-124 and miR-200 expression contribute to cholangiocyte proliferation in the cholestatic liver by targeting IL-6/STAT3 signalling. Journal of Hepatology. 62(4). 889–896. 68 indexed citations
15.
Xiao, Yongtao, Jun Wang, Yingwei Chen, et al.. (2014). Up-regulation of miR-200b in biliary atresia patients accelerates proliferation and migration of hepatic stallate cells by activating PI3K/Akt signaling. Cellular Signalling. 26(5). 925–932. 59 indexed citations
16.
17.
Xiao, Yongtao, et al.. (2012). Thymosin β4: A Potential Molecular Target for Tumor Therapy. Critical Reviews in Eukaryotic Gene Expression. 22(2). 109–116. 16 indexed citations
18.
Wu, Xi, Kefu Tang, Yang Li, et al.. (2012). Quantitative assessment of the effect of LRRK2 exonic variants on the risk of Parkinson’s disease: A meta-analysis. Parkinsonism & Related Disorders. 18(6). 722–730. 26 indexed citations
19.
Zhou, Kejun, Yifeng Yang, Linghan Gao, et al.. (2010). NMDA Receptor Hypofunction Induces Dysfunctions of Energy Metabolism And Semaphorin Signaling in Rats: A Synaptic Proteome Study. Schizophrenia Bulletin. 38(3). 579–591. 22 indexed citations
20.
Ji, Baohu, Zhao Zhang, Ming Zhang, et al.. (2009). Differential expression profiling of the synaptosome proteome in a rat model of antipsychotic resistance. Brain Research. 1295. 170–178. 12 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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