Meifan Chen
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
Papers in
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- Ubiquitin and proteasome pathways 4
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- Nerve injury and regeneration 5
- Co-authors
- Ze’ev A. Ronai (5 shared papers)Gustavo J. Gutierrez (4 shared papers)Binhai Zheng (3 shared papers)Toshiya Tsuji (1 shared paper)Wei Jiang (1 shared paper)Katherine L. B. Borden (1 shared paper)Ivan Topisirović (1 shared paper)Ettore Appella (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Frontiers in Neuroscience (1 paper)Nature Cell Biology (1 paper)Cell Reports (1 paper)Genes & Cancer (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Meifan Chen
13 papers receiving 328 citations
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 63
- Cellular and Molecular Neuroscience 79
- Cell Biology 69
- Neurology 33
- Molecular Biology 193
Countries citing papers authored by Meifan Chen
This map shows the geographic impact of Meifan 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 Meifan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meifan Chen more than expected).
Fields of papers citing papers by Meifan Chen
This network shows the impact of papers produced by Meifan 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 Meifan Chen. The network helps show where Meifan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Meifan 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 | 2011 | 69 | |
| 2 | 2009 | 48 | |
| 3 | 2010 | 46 | |
| 4 | 2014 | 42 | |
| 5 | 2018 | 37 | |
| 6 | 2016 | 30 | |
| 7 | 2022 | 24 | |
| 8 | 2010 | 18 | |
| 9 | 2022 | 7 | |
| 10 | 2012 | 7 | |
| 11 | LncRNA HOTAIRM1 Inhibits the Proliferation and Invasion of Lung Adenocarcinoma Cells via the miR-498/WWOX Axis | 2020 | 1 |
| 12 | Long Noncoding RNA X-Inactive Specific Transcript Facilitates Cellular Functions in Melanoma via miR-139-5p/ROCK1 Pathway | 2020 | 1 |
| 13 | 2010 | 1 | |
| 14 | 2025 | 0 |
About Meifan Chen
Meifan Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cancer Research and Oncology, having authored 14 papers that have together received 331 indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), Microtubule and mitosis dynamics (3 papers), Cancer-related Molecular Pathways (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cancer-related molecular mechanisms research (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Developmental Neuroscience (63 citations), Cellular and Molecular Neuroscience (79 citations), Cell Biology (69 citations), Neurology (33 citations) and Molecular Biology (193 citations). Meifan Chen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ze’ev A. Ronai, Gustavo J. Gutierrez, Binhai Zheng, Toshiya Tsuji, Wei Jiang, Katherine L. B. Borden, Ivan Topisirović, Ettore Appella, Tuoxin Cao and Yishi Jin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Neuroscience, Nature Cell Biology, Cell Reports and Genes & Cancer.
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.