Daoke Yang

614 total citations
30 papers, 340 citations indexed

About

Daoke Yang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daoke Yang has authored 30 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daoke Yang's work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers) and Ultrasound and Hyperthermia Applications (4 papers). Daoke Yang is often cited by papers focused on MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers) and Ultrasound and Hyperthermia Applications (4 papers). Daoke Yang collaborates with scholars based in China. Daoke Yang's co-authors include Tiansong Liang, Yingjuan Zheng, Juan Wang, Zhangsuo Liu, Jingyi Zhao, Xiaoxiao Zuo, Yue Gu, Xiangxian Zhang, Yonggang Shi and Jingyi Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Small.

In The Last Decade

Daoke Yang

29 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daoke Yang China 13 184 122 67 42 37 30 340
Sanchareeka Dey United States 8 224 1.2× 127 1.0× 73 1.1× 54 1.3× 44 1.2× 10 373
Kezhou Xia China 12 181 1.0× 96 0.8× 88 1.3× 39 0.9× 70 1.9× 23 350
Yuezhan Li China 8 271 1.5× 175 1.4× 56 0.8× 32 0.8× 36 1.0× 11 407
Wenjun Jiang China 9 156 0.8× 141 1.2× 76 1.1× 42 1.0× 22 0.6× 12 325
Seth Noorbakhsh United States 5 226 1.2× 130 1.1× 38 0.6× 47 1.1× 64 1.7× 11 360
Chenhui Cai China 5 140 0.8× 51 0.4× 87 1.3× 69 1.6× 34 0.9× 11 369
Xiaonan Qiu China 13 210 1.1× 122 1.0× 75 1.1× 26 0.6× 32 0.9× 34 403
Shumei Han China 10 233 1.3× 137 1.1× 43 0.6× 68 1.6× 56 1.5× 14 365
Haixue Jia China 11 249 1.4× 140 1.1× 128 1.9× 66 1.6× 28 0.8× 17 414
Revadee Liam‐Or United Kingdom 9 296 1.6× 150 1.2× 89 1.3× 46 1.1× 23 0.6× 13 388

Countries citing papers authored by Daoke Yang

Since Specialization
Citations

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

Fields of papers citing papers by Daoke Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoke Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Daoke Yang. A scholar is included among the top collaborators of Daoke Yang 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 Daoke Yang. Daoke Yang 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.
Gao, Shibo, et al.. (2025). Blood-Based Prognostic Prediction Model for Glioblastoma: Construction and Validation. Cancer Management and Research. Volume 17. 835–850. 1 indexed citations
3.
Li, Bingyan, Pengcheng Zhou, Huizhen Li, et al.. (2024). Analysis of the clinical efficacy and safety of anti‐PD‐1 immune checkpoint inhibitors in locally advanced nasopharyngeal cancer. Cancer Medicine. 13(14). e7359–e7359.
4.
Yang, Junping, et al.. (2023). A phase I clinical trial of sonodynamic therapy combined with temozolomide in the treatment of recurrent glioblastoma. Journal of Neuro-Oncology. 162(2). 317–326. 24 indexed citations
5.
Yang, Yuchuan, et al.. (2023). Research progress of hyperthermia in tumor therapy by influencing metabolic reprogramming of tumor cells. International Journal of Hyperthermia. 40(1). 2270654–2270654. 9 indexed citations
6.
Liang, Tiansong, et al.. (2023). The role of extracellular vesicles in the development of nasopharyngeal carcinoma and potential clinical applications. Cancer Medicine. 12(13). 14484–14497. 5 indexed citations
8.
Zheng, Yingjuan, Tiansong Liang, Juan Wang, et al.. (2022). Long non-coding RNA ZNF667-AS1 retards the development of esophageal squamous cell carcinoma via modulation of microRNA-1290-mediated PRUNE2. Translational Oncology. 21. 101371–101371. 6 indexed citations
9.
Zhao, Jingyi, Bingyan Li, Tiansong Liang, et al.. (2021). Histone demethylase KDM4A plays an oncogenic role in nasopharyngeal carcinoma by promoting cell migration and invasion. Experimental & Molecular Medicine. 53(8). 1207–1217. 19 indexed citations
10.
Huang, Runzhi, Zhenyu Li, Zhiwei Zeng, et al.. (2021). Construction of Bone Metastasis-Specific Regulation Network Based on Prognostic Stemness-Related Signatures in Breast Invasive Carcinoma. Frontiers in Oncology. 10. 613333–613333. 6 indexed citations
11.
Qin, Ling, et al.. (2020). Study on array antennas combined with nanoparticles for enhanced microwave hyperthermia of breast cancer. Materials Express. 10(10). 1607–1614. 2 indexed citations
12.
Zheng, Yingjuan, Tiansong Liang, Juan Wang, et al.. (2019). Silencing lncRNA LOC101928963 Inhibits Proliferation and Promotes Apoptosis in Spinal Cord Glioma Cells by Binding to PMAIP1. Molecular Therapy — Nucleic Acids. 18. 485–495. 17 indexed citations
13.
Wang, Xiang, et al.. (2019). <p>Targeting EZH2 for glioma therapy with a novel nanoparticle&ndash;siRNA complex</p>. International Journal of Nanomedicine. Volume 14. 2637–2653. 21 indexed citations
14.
Zheng, Yingjuan, Jingyi Zhao, Tiansong Liang, et al.. (2019). Long noncoding RNA SMAD5‐AS1 acts as a microRNA‐106a‐5p sponge to promote epithelial mesenchymal transition in nasopharyngeal carcinoma. The FASEB Journal. 33(11). 12915–12928. 35 indexed citations
15.
Hu, Yuzhu, Peizhi Zhou, Yunzhu Lin, Daoke Yang, & Bilan Wang. (2019). Anti-Colorectal Cancer Effect via Application of Polyethylene Glycol Modified Liposomal Apatinib. Journal of Biomedical Nanotechnology. 15(6). 1256–1266. 12 indexed citations
16.
Hu, Yuzhu, Cong Wu, Jiajun Guo, et al.. (2018). Enhanced uptake and improved anti-tumor efficacy of doxorubicin loaded fibrin gel with liposomal apatinib in colorectal cancer. International Journal of Pharmaceutics. 552(1-2). 319–327. 10 indexed citations
17.
Yu, Ting, et al.. (2018). Oral Administration of Liposome-Apatinib and Locally Delivery of Docetaxel/MPEG-PCL by Fibrin Glue Synergistically Improve Therapeutic Effect in Colorectal Cancer. Journal of Biomedical Nanotechnology. 14(12). 2077–2091. 17 indexed citations
18.
Li, Tao, Conghua Xie, Jie Li, et al.. (2018). Enteral Nutrition in Esophageal Cancer Patients Treated with Radiotherapy: A Chinese Expert Consensus 2018. Future Oncology. 15(5). 517–531. 21 indexed citations
19.
Yang, Daoke, Tiansong Liang, Yue Gu, et al.. (2015). Protein N-arginine methyltransferase 5 promotes the tumor progression and radioresistance of nasopharyngeal carcinoma. Oncology Reports. 35(3). 1703–1710. 13 indexed citations
20.
Qi, Chao, et al.. (2002). Clinical observation on thermophysics in radiofrequency heating. Zhonghua fangshe zhongliuxue zazhi. 11(3). 208–211. 1 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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