Da Miao
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Reproductive tract infections research
Papers in
-
- Gut microbiota and health 4
- RNA modifications and cancer 2
-
- Lung Cancer Treatments and Mutations 5
- Ferroptosis and cancer prognosis 2
- Co-authors
- Shuwen Han (7 shared papers)Qi Quan (6 shared papers)Yang Xi (4 shared papers)Chun Zhang (1 shared paper)Yang Xia (6 shared papers)Wei Wu (3 shared papers)Ying Han (1 shared paper)Jiaqi Zhou (2 shared papers)
- Journals
- OncoTargets and Therapy (2 papers)Journal of Medical Internet Research (1 paper)Cancer Biology & Therapy (1 paper)Cancer Management and Research (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Da Miao
22 papers receiving 433 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 100
- Microbiology 31
- Molecular Biology 231
- Oncology 72
- Hepatology 15
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 | 82 | |
| 2 | 2023 | 73 | |
| 3 | The exosome-mediated PI3k/Akt/mTOR signaling pathway in cervical cancer. | 2019 | 41 |
| 4 | 2019 | 37 | |
| 5 | 2018 | 36 | |
| 6 | 2019 | 36 | |
| 7 | 2021 | 23 | |
| 8 | 2020 | 18 | |
| 9 | 2024 | 18 | |
| 10 | 2021 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2020 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Da Miao
Da Miao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Hepatology, having authored 23 papers that have together received 442 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Gut microbiota and health (4 papers), Ferroptosis and cancer prognosis (2 papers), Lung Cancer Research Studies (2 papers), Liver physiology and pathology (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper). The work is most often cited by research in Cancer Research (100 citations), Microbiology (31 citations), Molecular Biology (231 citations), Oncology (72 citations) and Hepatology (15 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, Yang Xia, Wei Wu, Ying Han, Jiaqi Zhou, Jing Zhao and Ting Zhang. Their work appears in journals such as OncoTargets and Therapy, Journal of Medical Internet Research, Cancer Biology & Therapy, Cancer Management and Research 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.