Zhujiang Zhao

910 total citations
26 papers, 757 citations indexed

About

Zhujiang Zhao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zhujiang Zhao has authored 26 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Zhujiang Zhao's work include Epigenetics and DNA Methylation (17 papers), Cancer-related gene regulation (16 papers) and RNA modifications and cancer (10 papers). Zhujiang Zhao is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Cancer-related gene regulation (16 papers) and RNA modifications and cancer (10 papers). Zhujiang Zhao collaborates with scholars based in China, Bangladesh and Hong Kong. Zhujiang Zhao's co-authors include Hong Fan, Xuemei Qiu, Pihai Gong, Fengchang Qiao, Shaodan Zhang, Huazhang Wu, Xiaohui Shen, Jianqiong Zhang, Xianwei Su and He Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

In The Last Decade

Zhujiang Zhao

26 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhujiang Zhao China 16 641 341 74 63 55 26 757
Yingjun Xie China 11 423 0.7× 366 1.1× 121 1.6× 49 0.8× 76 1.4× 20 623
Pihai Gong China 12 483 0.8× 411 1.2× 64 0.9× 62 1.0× 37 0.7× 14 589
Elena Miotto Italy 9 385 0.6× 270 0.8× 77 1.0× 29 0.5× 46 0.8× 13 536
Michal Gilon Israel 9 833 1.3× 848 2.5× 67 0.9× 109 1.7× 57 1.0× 10 1.0k
Farhad Akbari Moqadam Netherlands 11 562 0.9× 425 1.2× 62 0.8× 32 0.5× 38 0.7× 12 736
Shineng Zhang China 12 365 0.6× 276 0.8× 204 2.8× 32 0.5× 55 1.0× 29 520
Zhi Lv China 14 311 0.5× 306 0.9× 70 0.9× 47 0.7× 96 1.7× 38 520
Erdun Bao China 7 325 0.5× 208 0.6× 57 0.8× 24 0.4× 20 0.4× 11 406

Countries citing papers authored by Zhujiang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Zhujiang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhujiang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhujiang Zhao. A scholar is included among the top collaborators of Zhujiang Zhao 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 Zhujiang Zhao. Zhujiang Zhao 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, Mengyuan, et al.. (2020). A multicomponent-based microemulsion for boosting ovarian cancer therapy through dual modification with transferrin and SA-R6H4. Drug Delivery and Translational Research. 11(5). 1969–1982. 9 indexed citations
2.
Li, Yi‐Ping, et al.. (2019). H3K9me3, H3K36me3, and H4K20me3 Expression Correlates with Patient Outcome in Esophageal Squamous Cell Carcinoma as Epigenetic Markers. Digestive Diseases and Sciences. 64(8). 2147–2157. 18 indexed citations
3.
4.
Qiao, Fengchang, Pihai Gong, Yunwei Song, et al.. (2018). Downregulated PITX1 Modulated by MiR-19a-3p Promotes Cell Malignancy and Predicts a Poor Prognosis of Gastric Cancer by Affecting Transcriptionally Activated PDCD5. Cellular Physiology and Biochemistry. 46(6). 2215–2231. 29 indexed citations
5.
Zhao, Zhujiang, Ying Hu, Xiaohui Shen, et al.. (2017). HBx represses RIZ1 expression by DNA methyltransferase 1 involvement in decreased miR-152 in hepatocellular carcinoma. Oncology Reports. 37(5). 2811–2818. 28 indexed citations
6.
Hu, Jiaojiao, Wei Song, Shaodan Zhang, et al.. (2016). HBx-upregulated lncRNA UCA1 promotes cell growth and tumorigenesis by recruiting EZH2 and repressing p27Kip1/CDK2 signaling. Scientific Reports. 6(1). 23521–23521. 130 indexed citations
7.
Fan, Hong, Zhujiang Zhao, He Cui, et al.. (2015). Genome-wide profiling of DNA methylation reveals preferred sequences of DNMTs in hepatocellular carcinoma cells. Tumor Biology. 37(1). 877–885. 9 indexed citations
8.
Zhao, Zhujiang, Ling Wang, Wei Song, et al.. (2015). Reduced miR-29a-3p expression is linked to the cell proliferation and cell migration in gastric cancer. World Journal of Surgical Oncology. 13(1). 101–101. 49 indexed citations
9.
Chen, Hong, Ying Pan, Zhi Wang, et al.. (2013). Hypermethylation and Clinicopathological Significance of RASAL1 Gene in Gastric Cancer. Asian Pacific Journal of Cancer Prevention. 14(11). 6261–6265. 11 indexed citations
10.
Qiao, Fengchang, Xianwei Su, Xuemei Qiu, et al.. (2012). Enforced expression of RASAL1 suppresses cell proliferation and the transformation ability of gastric cancer cells. Oncology Reports. 28(4). 1475–1481. 12 indexed citations
11.
Zhao, Zhujiang, Can Li, Yunwei Song, et al.. (2011). Association of the DNMT3A −448A>G polymorphism with genetic susceptibility to colorectal cancer. Oncology Letters. 3(2). 450–454. 18 indexed citations
12.
Fan, Hong, Dongsheng Liu, Xuemei Qiu, et al.. (2010). A functional polymorphism in the DNA methyltransferase-3A promoter modifies the susceptibility in gastric cancer but not in esophageal carcinoma. BMC Medicine. 8(1). 12–12. 74 indexed citations
13.
Qiu, Xuemei, Fengchang Qiao, Xianwei Su, Zhujiang Zhao, & Hong Fan. (2010). Epigenetic activation of E-cadherin is a candidate therapeutic target in human hepatocellular carcinoma. Experimental and Therapeutic Medicine. 1(3). 519–523. 13 indexed citations
14.
Fan, Hong, et al.. (2009). Overexpression of DNA methyltransferase 1 and its biological significance in primary hepatocellular carcinoma. World Journal of Gastroenterology. 15(16). 2020–2020. 25 indexed citations
15.
Fan, Hong, Dongsheng Liu, Shuhong Zhang, et al.. (2008). DNMT3B 579 G>T promoter polymorphism and risk of esophagus carcinoma in Chinese. World Journal of Gastroenterology. 14(14). 2230–2230. 21 indexed citations
16.
Fan, Hong, et al.. (2008). Promoter polymorphisms of DNMT3B and the risk of colorectal cancer in Chinese: a case-control study. Journal of Experimental & Clinical Cancer Research. 27(1). 24–24. 26 indexed citations
17.
Fan, Hong, et al.. (2007). Gene induction and apoptosis in human hepatocellular carcinoma cells SMMC-7721 exposed to 5-aza-2′-deoxycytidine. Chinese Medical Journal. 120(18). 1626–1631. 10 indexed citations
18.
Fan, Hong, et al.. (2007). DNA methyltransferase 1 knockdown induces silenced CDH1 gene reexpression by demethylation of methylated CpG in hepatocellular carcinoma cell line SMMC-7721. European Journal of Gastroenterology & Hepatology. 19(11). 952–961. 34 indexed citations
19.
Fan, Hong, et al.. (2005). [Construction of DNMT1 siRNA stable expressing vector and evaluation of its silenced efficiency in blocking gene expression].. PubMed. 22(2). 142–5. 2 indexed citations
20.
Zhao, Zhujiang, et al.. (2000). Cloning and expression of K88 fimbrial subunit gene and preparation of antiserum against a recombinant protein.. Shanghai nongye xuebao. 16(2). 38–41. 3 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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