Meiwei Chen
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA Interference and Gene Delivery 3
-
- MRI in cancer diagnosis 2
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Jun Shen (10 shared papers)Xiaohui Duan (6 shared papers)Jiaji Mao (6 shared papers)Liejing Lu (8 shared papers)Fang Zhang (7 shared papers)Chushan Zheng (6 shared papers)Xiang Zhang (4 shared papers)Minghui Cao (5 shared papers)
- Journals
- Muscle & Nerve (2 papers)RSC Advances (1 paper)Cell Transplantation (1 paper)Molecules (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Meiwei Chen
18 papers receiving 418 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 152
- Developmental Neuroscience 26
- Genetics 51
- Radiology, Nuclear Medicine and Imaging 82
- Biomaterials 44
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 | 158 | |
| 2 | 2018 | 49 | |
| 3 | 2018 | 40 | |
| 4 | 2017 | 38 | |
| 5 | 2017 | 26 | |
| 6 | 2017 | 24 | |
| 7 | 2016 | 21 | |
| 8 | 2016 | 17 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 1 |
About Meiwei Chen
Meiwei Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Surgery and Cancer Research, having authored 18 papers that have together received 421 indexed citations. Recurring topics across this work include Nerve injury and regeneration (4 papers), MicroRNA in disease regulation (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced X-ray and CT Imaging (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Head and Neck Cancer Studies (2 papers), MRI in cancer diagnosis (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (152 citations), Developmental Neuroscience (26 citations), Genetics (51 citations), Radiology, Nuclear Medicine and Imaging (82 citations) and Biomaterials (44 citations). Meiwei Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jun Shen, Xiaohui Duan, Jiaji Mao, Liejing Lu, Fang Zhang, Chushan Zheng, Xiang Zhang, Minghui Cao, Jinsong Yan and Bilian Jin. Their work appears in journals such as Muscle & Nerve, RSC Advances, Cell Transplantation, Molecules and Journal of Magnetic Resonance Imaging.
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.