Dong‐Yan Shen

1.3k total citations
67 papers, 1.0k citations indexed

About

Dong‐Yan Shen is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Dong‐Yan Shen has authored 67 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 21 papers in Oncology and 14 papers in Surgery. Recurrent topics in Dong‐Yan Shen's work include Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Retinoids in leukemia and cellular processes (9 papers) and Drug Transport and Resistance Mechanisms (8 papers). Dong‐Yan Shen is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Retinoids in leukemia and cellular processes (9 papers) and Drug Transport and Resistance Mechanisms (8 papers). Dong‐Yan Shen collaborates with scholars based in China, United States and Macao. Dong‐Yan Shen's co-authors include Wei Zhang, Qing‐Xi Chen, Changqin Liu, Guili Huang, Xin Zeng, Wei Song, Gang Rui, Ran Zhu, Pan Zhou and Xiupu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Dong‐Yan Shen

61 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong‐Yan Shen China 19 565 219 209 131 86 67 1.0k
Sarah P. Short United States 18 605 1.1× 176 0.8× 251 1.2× 76 0.6× 79 0.9× 45 1.2k
Yang Ruan China 19 426 0.8× 174 0.8× 185 0.9× 57 0.4× 132 1.5× 28 1.1k
Jinlong Yu China 20 612 1.1× 276 1.3× 141 0.7× 72 0.5× 73 0.8× 64 1.1k
Libo Liu China 20 533 0.9× 193 0.9× 101 0.5× 82 0.6× 82 1.0× 77 1.1k
David C. Montrose United States 23 794 1.4× 256 1.2× 248 1.2× 168 1.3× 93 1.1× 40 1.5k
Fangfang Liu China 19 381 0.7× 115 0.5× 167 0.8× 68 0.5× 105 1.2× 46 893
Steven P. Zielske United States 20 739 1.3× 153 0.7× 320 1.5× 89 0.7× 71 0.8× 31 1.2k
Mikhail Ryzhikov United States 22 827 1.5× 308 1.4× 340 1.6× 86 0.7× 76 0.9× 71 1.4k
Françoise de Longueville Belgium 13 776 1.4× 230 1.1× 316 1.5× 92 0.7× 45 0.5× 18 1.3k
Ning Ji China 19 554 1.0× 159 0.7× 396 1.9× 75 0.6× 65 0.8× 51 984

Countries citing papers authored by Dong‐Yan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Yan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong‐Yan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Yan Shen. A scholar is included among the top collaborators of Dong‐Yan Shen 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 Dong‐Yan Shen. Dong‐Yan Shen 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.
Wang, Yatao, Xingxin Yang, Zirui Chen, et al.. (2025). RBM39 Functions as a Potential Oncogene Through the NF-κB Signaling Pathway in Colorectal Cancer Cells. Journal of Cancer. 16(7). 2233–2249.
2.
Wang, Lei, Hongmei Niu, Robert K. Yu, et al.. (2025). Pantothenic acid plays an important role in reducing body weight. SHILAP Revista de lepidopterología. 42. 200336–200336.
3.
Xu, Peng, et al.. (2024). Downregulation of dermatopontin in cholangiocarcinoma cells suppresses CCL19 secretion of macrophages and immune infiltration. Journal of Cancer Research and Clinical Oncology. 150(2). 66–66. 3 indexed citations
4.
Wang, Guohao, Dongmei Wang, Lu Xia, et al.. (2024). A metal–phenolic nanotuner induces cancer pyroptosis for sono-immunotherapy. Biomaterials Science. 13(2). 446–456. 2 indexed citations
5.
6.
7.
Luo, Chunying, et al.. (2023). DPY30 promotes colorectal carcinoma metastasis by upregulating ZEB1 transcriptional expression. Cancer Cell International. 23(1). 333–333.
8.
Shang, Jin, et al.. (2021). Diosgenin exerts anti-tumor effects through inactivation of cAMP/PKA/CREB signaling pathway in colorectal cancer. European Journal of Pharmacology. 908. 174370–174370. 21 indexed citations
9.
Huang, Mengjiao, et al.. (2021). An Ultrasound Model to Predict the Short-Term Effects of Endovascular Stent Placement in the Treatment of Carotid Artery Stenosis. Frontiers in Cardiovascular Medicine. 7. 607367–607367. 1 indexed citations
10.
Fan, Yanyun, Ying Shi, Xiaoxiao Huang, et al.. (2019). miR-9-5p Suppresses Malignant Biological Behaviors of Human Gastric Cancer Cells by Negative Regulation of TNFAIP8L3. Digestive Diseases and Sciences. 64(10). 2823–2829. 15 indexed citations
11.
Wu, Ying, et al.. (2018). Preoperative P-wave duration as a predictor of atrial fibrillation after coronary artery bypass grafting: A prospective cohort study with meta-analysis. International Journal of Nursing Sciences. 5(2). 151–156. 5 indexed citations
12.
Cai, Chengfu, Guodong Ye, Dong‐Yan Shen, et al.. (2018). Chibby suppresses aerobic glycolysis and proliferation of nasopharyngeal carcinoma via the Wnt/β-catenin-Lin28/let7-PDK1 cascade. Journal of Experimental & Clinical Cancer Research. 37(1). 104–104. 43 indexed citations
13.
Tian, Ling, Xin Dong, Jiayi Fan, et al.. (2017). Siamese crocodile bile induces apoptosis in NCI-H1299 human non-small cell lung cancer cells via a mitochondria-mediated intrinsic pathway and inhibits tumorigenesis. Molecular Medicine Reports. 15(4). 1727–1737. 3 indexed citations
14.
Mi, Yanjun, et al.. (2016). Experimental study on inhibitory effects of Brucea javanica oil emulsion against lung cells. 36(4). 304. 1 indexed citations
15.
Li, Hualiang, Ziran Zhang, Jing Nie, et al.. (2016). EVALUATION OF EFFECTIVENESS IN A NOVEL WOUND HEALING OINTMENT-CROCODILE OIL BURN OINTMENT. African Journal of Traditional Complementary and Alternative Medicines. 14(1). 62–72. 16 indexed citations
16.
Chen, Bo, et al.. (2016). Upregulation of retinoic acid receptor-β reverses drug resistance in cholangiocarcinoma cells by enhancing susceptibility to apoptosis. Molecular Medicine Reports. 14(4). 3602–3608. 12 indexed citations
17.
18.
Huang, Guili, Wenming Liu, Wei Zhang, et al.. (2016). IL-1β induced RXRα overexpression through activation of NF-κB signaling in gastric carcinoma. Biomedicine & Pharmacotherapy. 78. 329–334. 14 indexed citations
19.
Shen, Dong‐Yan, Wei Zhang, Xin Zeng, & Changqin Liu. (2013). Inhibition of Wnt/β‐catenin signaling downregulates P‐glycoprotein and reverses multi‐drug resistance of cholangiocarcinoma. Cancer Science. 104(10). 1303–1308. 89 indexed citations
20.
Shen, Dong‐Yan, Zanxi Fang, Pan You, et al.. (2009). Clinical significance and expression of cyclin kinase subunits 1 and 2 in hepatocellular carcinoma. Liver International. 30(1). 119–125. 39 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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