Meiwei Chen
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- RNA Interference and Gene Delivery 3
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- Nerve injury and regeneration 3
- Co-authors
- Jun Shen (10 shared papers)Xiaohui Duan (6 shared papers)Jiaji Mao (6 shared papers)Fang Zhang (7 shared papers)Liejing Lu (8 shared papers)Chushan Zheng (6 shared papers)Xiang Zhang (4 shared papers)Minghui Cao (5 shared papers)
- Journals
- Muscle & Nerve (2 papers)Advanced Functional Materials (1 paper)Cell Transplantation (1 paper)RSC Advances (1 paper)Radiology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Meiwei Chen
19 papers receiving 429 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 125
- Developmental Neuroscience 23
- Genetics 37
- Biomaterials 40
- Molecular Biology 190
Countries citing papers authored by Meiwei Chen
This map shows the geographic impact of Meiwei Chen'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 Meiwei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiwei Chen more than expected).
Fields of papers citing papers by Meiwei Chen
This network shows the impact of papers produced by Meiwei Chen. 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 Meiwei Chen. The network helps show where Meiwei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiwei Chen, 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 | 2020 | 159 | |
| 2 | 2018 | 51 | |
| 3 | 2018 | 40 | |
| 4 | 2017 | 39 | |
| 5 | 2017 | 26 | |
| 6 | 2017 | 24 | |
| 7 | 2016 | 21 | |
| 8 | 2016 | 17 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2018 | 5 | |
| 14 | 2017 | 4 | |
| 15 | 2014 | 4 | |
| 16 | Interval-valued intuitionistic fuzzy rough sets based on coverings | 2013 | 2 |
| 17 | 2023 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 |
About Meiwei Chen
Meiwei Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Surgery and Epidemiology, having authored 19 papers that have together received 432 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Nerve injury and regeneration (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Advanced X-ray and CT Imaging (2 papers), Nanoparticle-Based Drug Delivery (2 papers), MicroRNA in disease regulation (2 papers), Algebraic structures and combinatorial models (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cancer Research (125 citations), Developmental Neuroscience (23 citations), Genetics (37 citations), Biomaterials (40 citations) and Molecular Biology (190 citations). Meiwei Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Shen, Xiaohui Duan, Jiaji Mao, Fang Zhang, Liejing Lu, Chushan Zheng, Xiang Zhang, Minghui Cao, Jiacheng Lou and Han Wang. Their work appears in journals such as Muscle & Nerve, Advanced Functional Materials, Cell Transplantation, RSC Advances and Radiology.
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.