Mei Chen
Impact in
- Neurology top 5%
- Vascular Malformations Diagnosis and Treatment
- Intracerebral and Subarachnoid Hemorrhage Research
- Intracranial Aneurysms: Treatment and Complications
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Vascular Malformations Diagnosis and Treatment 7
- Intracerebral and Subarachnoid Hemorrhage Research 6
- Intracranial Aneurysms: Treatment and Complications 4
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- Pregnancy and preeclampsia studies 3
- Co-authors
- Mark L. Kahn (10 shared papers)Diane D. Zhou (2 shared papers)Lan Cheng (3 shared papers)Xiangjian Zheng (3 shared papers)Benjamin Kleaveland (3 shared papers)Zhiying Zou (3 shared papers)Qing Yuan Yu (1 shared paper)Takayuki Itoh (1 shared paper)
- Journals
- Developmental Cell (4 papers)Journal of Clinical Investigation (2 papers)Nature (2 papers)The Journal of Experimental Medicine (2 papers)PLoS Biology (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Mei Chen
16 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Neurology 470
- Cell Biology 182
- Molecular Biology 593
- Biological Psychiatry 19
- Neurology 56
Countries citing papers authored by Mei Chen
This map shows the geographic impact of Mei 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 Mei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Chen more than expected).
Fields of papers citing papers by Mei Chen
This network shows the impact of papers produced by Mei 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 Mei Chen. The network helps show where Mei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei 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 | 2017 | 248 | |
| 2 | 2006 | 232 | |
| 3 | 2009 | 200 | |
| 4 | 2021 | 135 | |
| 5 | 2010 | 129 | |
| 6 | 2017 | 115 | |
| 7 | 1999 | 87 | |
| 8 | 2012 | 43 | |
| 9 | 2018 | 38 | |
| 10 | 2020 | 37 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 9 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 1 |
About Mei Chen
Mei Chen is a scholar working on Neurology, Obstetrics and Gynecology, Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vascular Malformations Diagnosis and Treatment (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Pregnancy and preeclampsia studies (3 papers), Kruppel-like factors research (3 papers), Congenital heart defects research (2 papers), Zebrafish Biomedical Research Applications (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Neurology (470 citations), Cell Biology (182 citations), Molecular Biology (593 citations), Biological Psychiatry (19 citations) and Neurology (56 citations). Mei Chen has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Mark L. Kahn, Diane D. Zhou, Lan Cheng, Xiangjian Zheng, Benjamin Kleaveland, Zhiying Zou, Qing Yuan Yu, Takayuki Itoh, John S. Lee and David Pleasure. Their work appears in journals such as Developmental Cell, Journal of Clinical Investigation, Nature, The Journal of Experimental Medicine and PLoS Biology.
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.