Dean Rao
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 2
- Protein Kinase Regulation and GTPase Signaling 2
- Oncology 7
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Chengpeng Yu (10 shared papers)Jiaqi Sheng (7 shared papers)Wenjie Huang (10 shared papers)Limin Xia (8 shared papers)Yiming Luo (5 shared papers)Tiantian Wang (3 shared papers)Junli Lu (8 shared papers)Xiaoping Chen (2 shared papers)
- Journals
- Experimental Hematology and Oncology (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Cell Death and Disease (2 papers)BioMed Research International (1 paper)Biomarker Research (1 paper)
- Partner nations
- ChinaSouth KoreaIran
In The Last Decade
Dean Rao
19 papers receiving 278 citations
Dean Rao's Hit Papers
Peers
Comparison fields: 5 of 51
- Cancer Research 79
- Biological Psychiatry 13
- Immunology 71
- Molecular Biology 126
- Oncology 46
Countries citing papers authored by Dean Rao
This map shows the geographic impact of Dean Rao'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 Dean Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean Rao more than expected).
Fields of papers citing papers by Dean Rao
This network shows the impact of papers produced by Dean Rao. 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 Dean Rao. The network helps show where Dean Rao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dean Rao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Myeloid-derived suppressor cells in cancer: therapeutic targets to overcome tumor immune evasion Hit paper breakdown → | 2024 | 90 |
| 2 | 2022 | 40 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 26 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 14 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2025 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Dean Rao
Dean Rao is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 281 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Ferroptosis and cancer prognosis (2 papers), interferon and immune responses (2 papers), Cancer-related gene regulation (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cancer Research (79 citations), Biological Psychiatry (13 citations), Immunology (71 citations), Molecular Biology (126 citations) and Oncology (46 citations). Dean Rao has collaborated with scholars based in China, South Korea and Iran. Frequent co-authors include Chengpeng Yu, Jiaqi Sheng, Wenjie Huang, Limin Xia, Yiming Luo, Tiantian Wang, Junli Lu, Xiaoping Chen, Bixiang Zhang and Wenjie Huang. Their work appears in journals such as Experimental Hematology and Oncology, Frontiers in Cell and Developmental Biology, Cell Death and Disease, BioMed Research International and Biomarker Research.
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.