Meichen Dong
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aquatic Science top 5%
Papers in
-
- RNA modifications and cancer 4
- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 2
- Gene Regulatory Network Analysis 2
-
- interferon and immune responses 3
- Co-authors
- Baiqu Huang (4 shared papers)Jun Lü (4 shared papers)Pingfu Hou (3 shared papers)Dongmei Fan (3 shared papers)Zhongwei Li (3 shared papers)Hongyuan Li (2 shared papers)Yuchao Jiang (3 shared papers)Fei Zou (2 shared papers)
- Journals
- Cell Death and Differentiation (2 papers)Biometrics (1 paper)Oncotarget (1 paper)International Journal of Biological Macromolecules (1 paper)Journal of Viral Hepatitis (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Meichen Dong
21 papers receiving 954 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 336
- Aquatic Science 67
- Molecular Biology 616
- Computational Mathematics 5
- Immunology 140
Countries citing papers authored by Meichen Dong
This map shows the geographic impact of Meichen 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 Meichen Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meichen Dong more than expected).
Fields of papers citing papers by Meichen Dong
This network shows the impact of papers produced by Meichen 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 Meichen Dong. The network helps show where Meichen Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Meichen 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 272 | |
| 2 | 2019 | 143 | |
| 3 | 2020 | 132 | |
| 4 | 2012 | 74 | |
| 5 | 2017 | 74 | |
| 6 | 2022 | 60 | |
| 7 | 2021 | 47 | |
| 8 | 2023 | 40 | |
| 9 | 2024 | 32 | |
| 10 | 2014 | 16 | |
| 11 | 2014 | 15 | |
| 12 | 2024 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2025 | 11 | |
| 15 | 2024 | 7 | |
| 16 | 2025 | 5 | |
| 17 | 2014 | 4 | |
| 18 | 2019 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 1 |
About Meichen Dong
Meichen Dong is a scholar working on Molecular Biology, Immunology, Cancer Research, Animal Science and Zoology and Biomaterials, having authored 22 papers that have together received 962 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Single-cell and spatial transcriptomics (3 papers), interferon and immune responses (3 papers), Epigenetics and DNA Methylation (2 papers), MicroRNA in disease regulation (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Cancer Research (336 citations), Aquatic Science (67 citations), Molecular Biology (616 citations), Computational Mathematics (5 citations) and Immunology (140 citations). Meichen Dong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Baiqu Huang, Jun Lü, Pingfu Hou, Dongmei Fan, Zhongwei Li, Hongyuan Li, Yuchao Jiang, Fei Zou, Eugene Urrutia and Yun Li. Their work appears in journals such as Cell Death and Differentiation, Biometrics, Oncotarget, International Journal of Biological Macromolecules and Journal of Viral Hepatitis.
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.