Miaolin Zhu
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 2
- PI3K/AKT/mTOR signaling in cancer 2
- DNA Repair Mechanisms 1
- Oncology 8
- Cancer Cells and Metastasis 4
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Yuan‐Zheng Xia (3 shared papers)Ruifang Dong (3 shared papers)Yuanyuan Zhao (6 shared papers)Wei Zhu (5 shared papers)Mei Wang (4 shared papers)Li Sun (4 shared papers)Lingyi Kong (2 shared papers)Qianqian Wang (4 shared papers)
In The Last Decade
Miaolin Zhu
24 papers receiving 565 citations
Peers
Comparison fields: 5 of 61
- Oncology 242
- Cancer Research 99
- Genetics 51
- Immunology 91
- Pulmonary and Respiratory Medicine 109
Countries citing papers authored by Miaolin Zhu
This map shows the geographic impact of Miaolin Zhu'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 Miaolin Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miaolin Zhu more than expected).
Fields of papers citing papers by Miaolin Zhu
This network shows the impact of papers produced by Miaolin Zhu. 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 Miaolin Zhu. The network helps show where Miaolin Zhu may publish in the future.
Co-authors
The 25 scholars most cited alongside Miaolin Zhu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 135 | |
| 2 | 2018 | 112 | |
| 3 | 2020 | 73 | |
| 4 | 2022 | 35 | |
| 5 | 2018 | 34 | |
| 6 | 2022 | 26 | |
| 7 | 2018 | 25 | |
| 8 | 2021 | 18 | |
| 9 | 2016 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2023 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Miaolin Zhu
Miaolin Zhu is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 25 papers that have together received 572 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Liver physiology and pathology (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Immune cells in cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), DNA Repair Mechanisms (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Oncology (242 citations), Cancer Research (99 citations), Genetics (51 citations), Immunology (91 citations) and Pulmonary and Respiratory Medicine (109 citations). Miaolin Zhu has collaborated with scholars based in China, Italy and France. Frequent co-authors include Yuan‐Zheng Xia, Ruifang Dong, Yuanyuan Zhao, Wei Zhu, Mei Wang, Li Sun, Lingyi Kong, Qianqian Wang, Jing Bian and Yiting Xu. Their work appears in journals such as Oncotarget, Journal of Translational Medicine, Frontiers in Pharmacology, Journal of Environmental Pathology Toxicology and Oncology and Therapeutic Advances in Medical 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.