Huaying Dong
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 2
- Breast Cancer Treatment Studies 2
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- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Co-authors
- Wei Wang (3 shared papers)Jing Han (3 shared papers)Jianguo Hu (2 shared papers)Fan Zhang (2 shared papers)Xionghui He (4 shared papers)Nian Wu (2 shared papers)Yuanwen Chen (2 shared papers)Lei Liu (2 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (2 papers)Molecular Therapy (1 paper)Frontiers in Oncology (1 paper)Breast Cancer (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Huaying Dong
10 papers receiving 212 citations
Peers
Comparison fields: 5 of 38
- Cancer Research 163
- Molecular Biology 176
- Oncology 29
- Immunology and Allergy 4
- Epidemiology 20
Countries citing papers authored by Huaying Dong
This map shows the geographic impact of Huaying Dong'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 Huaying Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaying Dong more than expected).
Fields of papers citing papers by Huaying Dong
This network shows the impact of papers produced by Huaying Dong. 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 Huaying Dong. The network helps show where Huaying Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Huaying Dong, 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 | 2018 | 93 | |
| 2 | 2020 | 44 | |
| 3 | 2020 | 36 | |
| 4 | 2023 | 11 | |
| 5 | 2019 | 10 | |
| 6 | 2021 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 0 |
About Huaying Dong
Huaying Dong is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Radiation, having authored 11 papers that have together received 215 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), Breast Cancer Treatment Studies (2 papers), Ferroptosis and cancer prognosis (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Cancer Research (163 citations), Molecular Biology (176 citations), Oncology (29 citations), Immunology and Allergy (4 citations) and Epidemiology (20 citations). Huaying Dong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wei Wang, Jing Han, Jianguo Hu, Fan Zhang, Xionghui He, Nian Wu, Yuanwen Chen, Lei Liu, Ru Chen and Shaowei Mo. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Molecular Therapy, Frontiers in Oncology, Breast Cancer and Frontiers in Genetics.
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.