E Changyong

457 total citations
21 papers, 339 citations indexed

About

E Changyong is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, E Changyong has authored 21 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in E Changyong's work include Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). E Changyong is often cited by papers focused on Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). E Changyong collaborates with scholars based in China and United States. E Changyong's co-authors include Duo Yu, Shan Yu, Xueshibojie Liu, Xuewen Zhang, Shui Liu, Jinghui Yang, Yongsheng Yang, Chen Yang, Zhenxiao Wang and Zhiwen Gong and has published in prestigious journals such as Life Sciences, Journal of Cellular Physiology and Journal of Cellular Biochemistry.

In The Last Decade

E Changyong

18 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Changyong China 12 167 123 100 51 46 21 339
Kailiang Zhao China 10 182 1.1× 73 0.6× 117 1.2× 54 1.1× 54 1.2× 38 354
Yingwei Zhu China 11 129 0.8× 67 0.5× 73 0.7× 53 1.0× 35 0.8× 30 302
Changku Jia China 10 238 1.4× 91 0.7× 115 1.1× 55 1.1× 81 1.8× 22 427
Xiaolu Lin China 13 233 1.4× 131 1.1× 67 0.7× 66 1.3× 60 1.3× 33 450
Zhaowei Zou China 11 283 1.7× 148 1.2× 78 0.8× 72 1.4× 53 1.2× 20 454
Tao Xue China 10 126 0.8× 121 1.0× 72 0.7× 64 1.3× 45 1.0× 42 357
Hanzhang Zhu China 11 180 1.1× 115 0.9× 103 1.0× 78 1.5× 87 1.9× 18 377
Jiaqi Yang China 8 232 1.4× 129 1.0× 75 0.8× 26 0.5× 29 0.6× 23 373
Qian Qiao China 12 239 1.4× 53 0.4× 66 0.7× 40 0.8× 47 1.0× 25 439

Countries citing papers authored by E Changyong

Since Specialization
Citations

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

Fields of papers citing papers by E Changyong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Changyong

This figure shows the co-authorship network connecting the top 25 collaborators of E Changyong. A scholar is included among the top collaborators of E Changyong 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 E Changyong. E Changyong 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.
Guo, Zhen‐Ni, et al.. (2025). Primary Intrahepatic Biliary Neuroendocrine Neoplasms: A Case Report and Literature Review. Journal of Gastrointestinal Cancer. 56(1). 179–179.
2.
Wang, Ying, Siyu Chen, Mei Lan, et al.. (2025). AC electrokinetic mixing-assisted controllable liposome synthesis using a mold-extraction fabricated microfluidic chip. Biofabrication. 18(1). 15008–15008.
3.
Zhang, Zheng, Lun Wang, Zhiqiang Wei, E Changyong, & Tao Jiang. (2024). Robotic-assisted sleeve gastrectomy with simultaneous Roux-en-Y cystojejunostomy in a patient with sever obesity and a pancreatic pseudocyst: a case report. Frontiers in Surgery. 10. 1323704–1323704.
4.
Changyong, E, et al.. (2024). Safety and learning curve analysis of robotic-assisted pancreaticoduodenectomy: experience of a single surgeon. Journal of Robotic Surgery. 18(1). 92–92. 5 indexed citations
5.
Changyong, E, et al.. (2022). STAM binding protein regulated by hsa_circ_0007334 exerts oncogenic potential in pancreatic cancer. Pancreatology. 22(7). 1003–1012. 6 indexed citations
6.
Liu, Shui, Yan Cai, E Changyong, Jiyao Sheng, & Xuewen Zhang. (2021). Screening and Validation of Independent Predictors of Poor Survival in Pancreatic Cancer. Pathology & Oncology Research. 27. 1609868–1609868. 11 indexed citations
7.
Yu, Shan, Xueshibojie Liu, Duo Yu, E Changyong, & Jinghui Yang. (2020). Piperine protects LPS-induced mastitis by inhibiting inflammatory response. International Immunopharmacology. 87. 106804–106804. 17 indexed citations
8.
Yu, Shan, Xueshibojie Liu, Duo Yu, E Changyong, & Jinghui Yang. (2020). Morin Protects LPS-Induced Mastitis via Inhibiting NLRP3 Inflammasome and NF-κB Signaling Pathways. Inflammation. 43(4). 1293–1303. 43 indexed citations
9.
Yang, Jinghui, Duo Yu, Xueshibojie Liu, E Changyong, & Shan Yu. (2020). LINC00641/miR-4262/NRGN axis confines cell proliferation in glioma. Cancer Biology & Therapy. 21(8). 758–766. 25 indexed citations
10.
Changyong, E, et al.. (2019). <p>LncRNA LOC105372579 promotes proliferation and epithelial-mesenchymal transition in hepatocellular carcinoma via activating miR-4316/FOXP4 signaling</p>. Cancer Management and Research. Volume 11. 2871–2879. 14 indexed citations
11.
Yang, Jinghui, Duo Yu, Xueshibojie Liu, E Changyong, & Shan Yu. (2019). LncRNA PCED1B‐AS1 activates the proliferation and restricts the apoptosis of glioma through cooperating with miR‐194‐5p/PCED1B axis. Journal of Cellular Biochemistry. 121(2). 1823–1833. 27 indexed citations
12.
Li, Chunsheng, E Changyong, Yangyang Zhou, & Wei Yu. (2019). Candidate genes and potential mechanisms for chemoradiotherapy sensitivity in locally advanced rectal cancer. Oncology Letters. 2 indexed citations
13.
Changyong, E, et al.. (2019). Silencing of a novel lncRNA LOC105369748 suppresses the progression of hepatocellular carcinoma by sponging miR‐5095 from MBD2. Journal of Cellular Physiology. 234(10). 18504–18512. 7 indexed citations
14.
Yang, Chen, E Changyong, Zhiwen Gong, et al.. (2018). Chimeric antigen receptor-engineered T-cell therapy for liver cancer. Hepatobiliary & pancreatic diseases international. 17(4). 301–309. 74 indexed citations
15.
Jiang, Tao, E Changyong, Dan Wang, et al.. (2017). Efficacy comparison of radiofrequency ablation and hepatic resection for hepatocellular carcinoma: A meta-analysis. Journal of Cancer Research and Therapeutics. 13(4). 625–625. 17 indexed citations
16.
Liu, Wentao, Jing Li, Yan Cai, et al.. (2016). Hepatic IGF-1R overexpression combined with the activation of GSK-3β and FOXO3a in the development of liver cirrhosis. Life Sciences. 147. 97–102. 13 indexed citations
17.
Xu, Jianting, et al.. (2016). Matrix metalloproteinase expression and molecular interaction network analysis in gastric cancer. Oncology Letters. 12(4). 2403–2408. 27 indexed citations
18.
19.
Changyong, E, Jing Li, Dan Shao, et al.. (2014). The Insulin-Like Growth Factor-I Receptor Inhibitor Picropodophyllin-Induced Selective Apoptosis of Hepatocellular Carcinoma Cell Through a Caspase-Dependent Mitochondrial Pathway. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 21(2). 103–110. 15 indexed citations
20.
Changyong, E, et al.. (2013). Combined Hepatocellular–Cholangiocarcinoma with Fever of Unknown Origin: A Case Report and Review of Literature. Cell Biochemistry and Biophysics. 69(1). 1–6. 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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