Daoke Yang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Nanoparticle-Based Drug Delivery
Papers in
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- Cancer-related molecular mechanisms research 5
- Cancer, Lipids, and Metabolism 3
- Cancer, Hypoxia, and Metabolism 3
- MicroRNA in disease regulation 3
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- Circular RNAs in diseases 3
- Co-authors
- Yingjuan Zheng (14 shared papers)Tiansong Liang (8 shared papers)Juan Wang (5 shared papers)Zhangsuo Liu (2 shared papers)Jingyi Zhao (5 shared papers)Jingyi Zhao (2 shared papers)Yonggang Shi (2 shared papers)Xiangxian Zhang (3 shared papers)
- Journals
- Journal of Biomedical Nanotechnology (3 papers)International Journal of Hyperthermia (2 papers)Cancer Medicine (2 papers)The FASEB Journal (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- China
In The Last Decade
Daoke Yang
31 papers receiving 376 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 105
- Biomaterials 37
- Molecular Biology 166
- Biomedical Engineering 74
- Molecular Medicine 7
Countries citing papers authored by Daoke Yang
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
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-authors
The 25 scholars most cited alongside Daoke Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 34 | |
| 2 | 2023 | 32 | |
| 3 | Down-regulation of PAX6 by promoter methylation is associated with poor prognosis in non small cell lung cancer. | 2015 | 29 |
| 4 | 2019 | 25 | |
| 5 | 2021 | 24 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2023 | 21 | |
| 9 | 2018 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2015 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2024 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 2021 | 7 |
About Daoke Yang
Daoke Yang is a scholar working on Cancer Research, Molecular Biology, Biotechnology, Genetics and Biomedical Engineering, having authored 32 papers that have together received 380 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Ultrasound and Hyperthermia Applications (4 papers), Circular RNAs in diseases (3 papers), Cancer, Lipids, and Metabolism (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), MicroRNA in disease regulation (3 papers), Cancer Research and Treatments (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (105 citations), Biomaterials (37 citations), Molecular Biology (166 citations), Biomedical Engineering (74 citations) and Molecular Medicine (7 citations). Daoke Yang has collaborated with scholars based in China. Frequent co-authors include Yingjuan Zheng, Tiansong Liang, Juan Wang, Zhangsuo Liu, Jingyi Zhao, Jingyi Zhao, Yonggang Shi, Xiangxian Zhang, Yue Gu and Xiaoxiao Zuo. Their work appears in journals such as Journal of Biomedical Nanotechnology, International Journal of Hyperthermia, Cancer Medicine, The FASEB Journal and Frontiers in Oncology.
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.