Yujuan Dong

4.8k total citations · 1 hit paper
48 papers, 3.7k citations indexed

About

Yujuan Dong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yujuan Dong has authored 48 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 25 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Yujuan Dong's work include MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (19 papers) and RNA modifications and cancer (11 papers). Yujuan Dong is often cited by papers focused on MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (19 papers) and RNA modifications and cancer (11 papers). Yujuan Dong collaborates with scholars based in China, Hong Kong and United States. Yujuan Dong's co-authors include Jun Yu, Joseph J.�Y. Sung, Simon S.M. Ng, Francis K.L. Chan, Wei Kang, William Ka Kei Wu, Ka‐Fai To, Weiqin Yang, Qiaoyi Liang and Ho Tsoi and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yujuan Dong

46 papers receiving 3.6k citations

Hit Papers

Gut mucosal microbiome across stages of colorectal carcin... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Yujuan Dong
Ri Cui China
Ping Ji United States
Qian Zhao China
Keun Hur South Korea
Peng Gao China
Wen Yang China
Ri Cui China
Yujuan Dong
Citations per year, relative to Yujuan Dong Yujuan Dong (= 1×) peers Ri Cui

Countries citing papers authored by Yujuan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yujuan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujuan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yujuan Dong. A scholar is included among the top collaborators of Yujuan 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 Yujuan Dong. Yujuan 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
2.
Zhou, Yanan, Nianshuang Li, Ziwen He, et al.. (2025). Helicobacter pylori activates DOPEY1 to promote p53 degradation through the USP7/TRIP12 axis in gastric tumorigenesis. Oncogene. 44(18). 1245–1258. 2 indexed citations
3.
Bu, Wei, Yujuan Dong, Yuling Wang, et al.. (2025). Downregulation of Nrf2 deteriorates cognitive impairment in APP/PS1 mice by inhibiting mitochondrial biogenesis through the PPARγ/PGC1α signaling pathway. Behavioural Brain Research. 495. 115805–115805. 1 indexed citations
4.
Gan, Kaifeng, Zhe Luo, Yujuan Dong, et al.. (2025). Hypoxic niches established via endogenous oxygen production in scaffold under anoxia for enhanced bone regeneration. Regenerative Biomaterials. 12. rbaf070–rbaf070.
5.
Liu, Yichen, Yujuan Dong, Zhen Cao, et al.. (2025). The Multi-Dimensional Action Map of Resveratrol Against Alzheimer’s Disease: Mechanism Integration and Treatment Strategy Optimization. Nutrients. 17(21). 3451–3451. 1 indexed citations
6.
Cheung, Alvin H.K., Xiaoli Liu, Fenfen Ji, et al.. (2023). MLK4 promotes glucose metabolism in lung adenocarcinoma through CREB-mediated activation of phosphoenolpyruvate carboxykinase and is regulated by KLF5. Oncogenesis. 12(1). 35–35. 6 indexed citations
7.
Kang, Wei, Jinglin Zhang, Tingting Huang, et al.. (2021). NOTCH3, a crucial target of miR-491-5p/miR-875-5p, promotes gastric carcinogenesis by upregulating PHLDB2 expression and activating Akt pathway. Oncogene. 40(9). 1578–1594. 26 indexed citations
8.
Wang, Xiaohong, Qiaoyi Liang, Lianhai Zhang, et al.. (2019). C8orf76 Promotes Gastric Tumorigenicity and Metastasis by Directly Inducing lncRNA DUSP5P1 and Associates with Patient Outcomes. Clinical Cancer Research. 25(10). 3128–3140. 39 indexed citations
9.
Liu, Lei, Yanquan Zhang, Chi Chun Wong, et al.. (2018). RNF6 Promotes Colorectal Cancer by Activating the Wnt/β-Catenin Pathway via Ubiquitination of TLE3. Cancer Research. 78(8). 1958–1971. 70 indexed citations
10.
Higashimori, Akihiro, Yujuan Dong, Yanquan Zhang, et al.. (2018). Forkhead Box F2 Suppresses Gastric Cancer through a Novel FOXF2–IRF2BPL–β-Catenin Signaling Axis. Cancer Research. 78(7). 1643–1656. 52 indexed citations
11.
Cheung, Alvin H.K., Chit Chow, Jinglin Zhang, et al.. (2018). Specific targeting of point mutations in EGFR L858R-positive lung cancer by CRISPR/Cas9. Laboratory Investigation. 98(7). 968–976. 38 indexed citations
12.
Zhang, Jinglin, Yuhang Zhou, Tingting Huang, et al.. (2018). FGF18, a prominent player in FGF signaling, promotes gastric tumorigenesis through autocrine manner and is negatively regulated by miR-590-5p. Oncogene. 38(1). 33–46. 43 indexed citations
13.
Huang, Tingting, Yuhang Zhou, Jinglin Zhang, et al.. (2017). SRGAP1, a crucial target of miR-340 and miR-124, functions as a potential oncogene in gastric tumorigenesis. Oncogene. 37(9). 1159–1174. 32 indexed citations
14.
Kang, Wei, Joanna H. Tong, Raymond Wai Ming Lung, et al.. (2015). Targeting of YAP1 by microRNA-15a and microRNA-16-1 exerts tumor suppressor function in gastric adenocarcinoma. Molecular Cancer. 14(1). 52–52. 107 indexed citations
15.
Wu, Chung Wah, Siew C. Ng, Yujuan Dong, et al.. (2014). Identification of microRNA-135b in Stool as a Potential Noninvasive Biomarker for Colorectal Cancer and Adenoma. Clinical Cancer Research. 20(11). 2994–3002. 114 indexed citations
16.
Kang, Wei, Raymond Wai Ming Lung, Yujuan Dong, et al.. (2014). let-7b/g silencing activates AKT signaling to promote gastric carcinogenesis. Journal of Translational Medicine. 12(1). 281–281. 29 indexed citations
17.
Kang, Wei, Joanna H. Tong, Anthony W.H. Chan, et al.. (2014). Yin Yang 1 contributes to gastric carcinogenesis and its nuclear expression correlates with shorter survival in patients with early stage gastric adenocarcinoma. Journal of Translational Medicine. 12(1). 80–80. 57 indexed citations
18.
Dong, Yujuan, Junhong Zhao, Chung‐Wah Wu, et al.. (2013). Tumor Suppressor Functions of miR-133a in Colorectal Cancer. Molecular Cancer Research. 11(9). 1051–1060. 92 indexed citations
19.
Zhao, Jin, Qiaoyi Liang, Wei Kang, et al.. (2013). Somatostatin Receptor 1, a novel EBV-associated CpG hypermethylated gene, contributes to the pathogenesis of EBV-associated gastric cancer. British Journal of Cancer. 108(12). 2557–2564. 33 indexed citations
20.
Dong, Yujuan, Bojing Lu, Xiongwen Zhang, et al.. (2010). Cucurbitacin E, a tetracyclic triterpenes compound from Chinese medicine, inhibits tumor angiogenesis through VEGFR2-mediated Jak2-STAT3 signaling pathway. Carcinogenesis. 31(12). 2097–2104. 145 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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