Da Miao
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Reproductive tract infections research
Papers in
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- Gut microbiota and health 5
- RNA modifications and cancer 3
- Circular RNAs in diseases 2
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- Lung Cancer Treatments and Mutations 6
- Ferroptosis and cancer prognosis 2
- Co-authors
- Shuwen Han (11 shared papers)Qi Quan (6 shared papers)Yang Xi (4 shared papers)Chun Zhang (1 shared paper)Wei Wu (3 shared papers)Chun Zhang (2 shared papers)Yang Xia (6 shared papers)Jing Zhong (2 shared papers)
- Journals
- OncoTargets and Therapy (2 papers)Gene (1 paper)Nature Reviews Clinical Oncology (1 paper)Future Oncology (1 paper)Cancer Communications (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Da Miao
19 papers receiving 395 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 123
- Microbiology 31
- Oncology 103
- Molecular Biology 256
- Pulmonary and Respiratory Medicine 72
Countries citing papers authored by Da Miao
This map shows the geographic impact of Da Miao'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 Da Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Miao more than expected).
Fields of papers citing papers by Da Miao
This network shows the impact of papers produced by Da Miao. 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 Da Miao. The network helps show where Da Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Miao, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 77 | |
| 2 | 2023 | 59 | |
| 3 | The exosome-mediated PI3k/Akt/mTOR signaling pathway in cervical cancer. | 2019 | 41 |
| 4 | 2019 | 36 | |
| 5 | 2018 | 36 | |
| 6 | 2019 | 33 | |
| 7 | 2021 | 23 | |
| 8 | 2020 | 18 | |
| 9 | 2024 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2020 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Da Miao
Da Miao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Epidemiology, having authored 23 papers that have together received 403 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Gut microbiota and health (5 papers), Cancer-related molecular mechanisms research (4 papers), Lung Cancer Research Studies (4 papers), RNA modifications and cancer (3 papers), Liver physiology and pathology (2 papers), Ferroptosis and cancer prognosis (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (123 citations), Microbiology (31 citations), Oncology (103 citations), Molecular Biology (256 citations) and Pulmonary and Respiratory Medicine (72 citations). Da Miao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuwen Han, Qi Quan, Yang Xi, Chun Zhang, Wei Wu, Chun Zhang, Yang Xia, Jing Zhong, Jing Zhao and Wen Li. Their work appears in journals such as OncoTargets and Therapy, Gene, Nature Reviews Clinical Oncology, Future Oncology and Cancer Communications.
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.