Chengyong Dong

924 total citations
29 papers, 721 citations indexed

About

Chengyong Dong is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Chengyong Dong has authored 29 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Chengyong Dong's work include Cancer, Hypoxia, and Metabolism (5 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Chengyong Dong is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Chengyong Dong collaborates with scholars based in China, United States and South Korea. Chengyong Dong's co-authors include Liming Wang, Keqiu Jiang, Zeli Yin, Rui Li, Shujuan Shao, Zhenming Gao, Kun Guo, Deguang Sun, Qinlong Liu and Fei Long and has published in prestigious journals such as Analytical Chemistry, Small and Experimental Cell Research.

In The Last Decade

Chengyong Dong

27 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengyong Dong China 17 387 251 201 110 103 29 721
Songtao Lai China 11 314 0.8× 168 0.7× 251 1.2× 96 0.9× 105 1.0× 21 645
Aimin Huang China 17 448 1.2× 207 0.8× 194 1.0× 83 0.8× 151 1.5× 61 856
Zhouyu Ning China 19 500 1.3× 357 1.4× 364 1.8× 116 1.1× 87 0.8× 40 911
Shamir Cassim France 14 407 1.1× 281 1.1× 149 0.7× 63 0.6× 116 1.1× 17 696
Xinzheng Dai China 18 407 1.1× 196 0.8× 196 1.0× 148 1.3× 126 1.2× 29 877
Yanyan Shen China 21 824 2.1× 293 1.2× 219 1.1× 71 0.6× 120 1.2× 63 1.2k
Chloé Sauzay France 12 329 0.9× 204 0.8× 150 0.7× 62 0.6× 58 0.6× 19 671
Dishui Gu China 12 355 0.9× 198 0.8× 173 0.9× 43 0.4× 122 1.2× 13 586
Xiaoguang Sun China 13 351 0.9× 317 1.3× 167 0.8× 76 0.7× 33 0.3× 19 756
Peishan Hu China 16 564 1.5× 310 1.2× 172 0.9× 47 0.4× 98 1.0× 30 832

Countries citing papers authored by Chengyong Dong

Since Specialization
Citations

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

Fields of papers citing papers by Chengyong Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyong Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Chengyong Dong. A scholar is included among the top collaborators of Chengyong Dong 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 Chengyong Dong. Chengyong Dong 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.
Xu, Bing, et al.. (2025). FBXW11 inhibits tumorigenesis by ubiquitinating YB1 in hepatocarcinoma. Journal of Cancer Research and Clinical Oncology. 151(9). 256–256.
3.
Ma, Xinying, et al.. (2025). RACGAP1 and MKI67 are potential prognostic biomarker in hepatocellular carcinoma caused by HBV/HCV via lactylation. Frontiers in Oncology. 15. 1537084–1537084. 2 indexed citations
4.
Guo, Kun, Yang Zhou, Yidan Zhao, et al.. (2022). Lipid-related FABP5 activation of tumor-associated monocytes fosters immune privilege via PD-L1 expression on Treg cells in hepatocellular carcinoma. Cancer Gene Therapy. 29(12). 1951–1960. 37 indexed citations
5.
Liu, Xiaolong, Ying Liu, Ting Ling, et al.. (2022). PLIN2 promotes HCC cells proliferation by inhibiting the degradation of HIF1α. Experimental Cell Research. 418(1). 113244–113244. 16 indexed citations
6.
Li, Rui, Chengyong Dong, Keqiu Jiang, et al.. (2020). Rab27B enhances drug resistance in hepatocellular carcinoma by promoting exosome-mediated drug efflux. Carcinogenesis. 41(11). 1583–1591. 25 indexed citations
7.
Jiang, Keqiu, Chengyong Dong, Zeli Yin, et al.. (2020). Exosome-derived ENO1 regulates integrin α6β4 expression and promotes hepatocellular carcinoma growth and metastasis. Cell Death and Disease. 11(11). 972–972. 77 indexed citations
8.
9.
Guo, Chunmei, Nannan Li, Chengyong Dong, et al.. (2020). 33-kDa ANXA3 isoform contributes to hepatocarcinogenesis via modulating ERK, PI3K/Akt-HIF and intrinsic apoptosis pathways. Journal of Advanced Research. 30. 85–102. 19 indexed citations
10.
Zhang, Shuangzhe, Miao Li, Wenxi Xia, et al.. (2019). Imaging and Inhibiting: A Dual Function Molecular Flare for Cancer Cells. Analytical Chemistry. 91(21). 13501–13507. 5 indexed citations
11.
Yin, Zeli, Chengyong Dong, Keqiu Jiang, et al.. (2019). Heterogeneity of cancer-associated fibroblasts and roles in the progression, prognosis, and therapy of hepatocellular carcinoma. Journal of Hematology & Oncology. 12(1). 101–101. 132 indexed citations
12.
Dong, Bing, Chongyu Zhao, Che Chi, et al.. (2019). The synergistic antitumor effect of Huaier combined with 5-Florouracil in human cholangiocarcinoma cells. BMC Complementary and Alternative Medicine. 19(1). 203–203. 21 indexed citations
13.
Dong, Chengyong, Ying Liu, Keqiu Jiang, et al.. (2018). The Nogo‐B receptor promotes human hepatocellular carcinoma cell growth via the Akt signal pathway. Journal of Cellular Biochemistry. 119(9). 7738–7746. 8 indexed citations
14.
Wang, Haibo, Chengyong Dong, Keqiu Jiang, et al.. (2018). Fluorescence imaging of hepatocellular carcinoma with a specific probe of COX-2. RSC Advances. 8(2). 994–1000. 5 indexed citations
15.
Yin, Zeli, Keqiu Jiang, Rui Li, Chengyong Dong, & Liming Wang. (2018). Multipotent mesenchymal stromal cells play critical roles in hepatocellular carcinoma initiation, progression and therapy. Molecular Cancer. 17(1). 178–178. 59 indexed citations
16.
Jiang, Keqiu, et al.. (2016). Microfluidic-based biomimetic models for life science research. RSC Advances. 6(32). 26863–26873. 13 indexed citations
17.
Dong, Chengyong, Fei Long, Keqiu Jiang, et al.. (2016). Spontaneously removed biliary stent drainage versus T-tube drainage after laparoscopic common bile duct exploration. Medicine. 95(39). e5011–e5011. 18 indexed citations
18.
Liu, Zhenzhen, Chengyong Dong, Chengye Wang, et al.. (2015). Mixed acinar-endocrine carcinoma of pancreas: a case report and brief review of the literature. OncoTargets and Therapy. 8. 1633–1633. 19 indexed citations
19.
Zhang, Chi, Xiang Hu, Xiaoyu Liu, et al.. (2015). Effect of tumor-associated macrophages on gastric cancer stem cell in omental milky spots and lymph node micrometastasis.. PubMed. 8(11). 13795–805. 10 indexed citations
20.
Ling, Sunbin, Tingting Feng, Qinghong Ke, et al.. (2014). Metformin inhibits proliferation and enhances chemosensitivity of intrahepatic cholangiocarcinoma cell lines. Oncology Reports. 31(6). 2611–2618. 55 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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