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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- Circular RNAs in diseases 4
- RNA modifications and cancer 4
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Tiansong Liang (8 shared papers)Yingjuan Zheng (14 shared papers)Juan Wang (5 shared papers)Zhangsuo Liu (2 shared papers)Jingyi Zhao (5 shared papers)Yue Gu (2 shared papers)Xiangxian Zhang (3 shared papers)Yonggang Shi (2 shared papers)
- Journals
- Journal of Biomedical Nanotechnology (3 papers)Cancer Medicine (2 papers)International Journal of Hyperthermia (2 papers)ACS Chemical Neuroscience (1 paper)Oncology Reports (1 paper)
- Partner nations
- China
In The Last Decade
Daoke Yang
29 papers receiving 332 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 122
- Biomaterials 42
- Molecular Biology 184
- Molecular Medicine 9
- Biomedical Engineering 67
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 35 | |
| 2 | Down-regulation of PAX6 by promoter methylation is associated with poor prognosis in non small cell lung cancer. | 2015 | 29 |
| 3 | 2019 | 25 | |
| 4 | 2023 | 24 | |
| 5 | 2019 | 21 | |
| 6 | 2018 | 21 | |
| 7 | 2021 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2019 | 17 | |
| 10 | 2018 | 17 | |
| 11 | 2020 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 6 |
About Daoke Yang
Daoke Yang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery, having authored 30 papers that have together received 340 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), Ultrasound and Hyperthermia Applications (4 papers), Nanoplatforms for cancer theranostics (3 papers), Cancer Research and Treatments (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (122 citations), Biomaterials (42 citations), Molecular Biology (184 citations), Molecular Medicine (9 citations) and Biomedical Engineering (67 citations). Daoke Yang has collaborated with scholars based in China. Frequent co-authors include Tiansong Liang, Yingjuan Zheng, Juan Wang, Zhangsuo Liu, Jingyi Zhao, Yue Gu, Xiangxian Zhang, Yonggang Shi, Xiaoxiao Zuo and Jingyi Zhao. Their work appears in journals such as Journal of Biomedical Nanotechnology, Cancer Medicine, International Journal of Hyperthermia, ACS Chemical Neuroscience and Oncology Reports.
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.