Wai-Mui Cheung
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Barrier Structure and Function Studies
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Angiogenesis and VEGF in Cancer 4
- Peroxisome Proliferator-Activated Receptors 2
- ATP Synthase and ATPases Research 1
-
- Inflammatory mediators and NSAID effects 3
- Co-authors
- Teng‐Nan Lin (8 shared papers)Chung Y. Hsu (4 shared papers)Song‐Kun Shyue (4 shared papers)Chien‐Kai Wang (1 shared paper)Kenneth K. Wu (3 shared papers)Jun‐Yang Liou (3 shared papers)Yong He (1 shared paper)Jin-Jer Chen (3 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (4 papers)Circulation (2 papers)Stroke (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Wai-Mui Cheung
8 papers receiving 717 citations
Peers
Comparison fields: 5 of 67
- Neurology 196
- Developmental Neuroscience 62
- Biochemistry 51
- Cellular and Molecular Neuroscience 113
- Molecular Biology 419
Countries citing papers authored by Wai-Mui Cheung
This map shows the geographic impact of Wai-Mui Cheung'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 Wai-Mui Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai-Mui Cheung more than expected).
Fields of papers citing papers by Wai-Mui Cheung
This network shows the impact of papers produced by Wai-Mui Cheung. 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 Wai-Mui Cheung. The network helps show where Wai-Mui Cheung may publish in the future.
Co-authors
The 22 scholars most cited alongside Wai-Mui Cheung, 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 | 2003 | 146 | |
| 2 | 2000 | 118 | |
| 3 | 2005 | 115 | |
| 4 | 2008 | 100 | |
| 5 | 2009 | 98 | |
| 6 | 2002 | 67 | |
| 7 | 2001 | 45 | |
| 8 | 2005 | 37 |
About Wai-Mui Cheung
Wai-Mui Cheung is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 726 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Inflammatory mediators and NSAID effects (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Oxidative Organic Chemistry Reactions (1 paper), Barrier Structure and Function Studies (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Neurology (196 citations), Developmental Neuroscience (62 citations), Biochemistry (51 citations), Cellular and Molecular Neuroscience (113 citations) and Molecular Biology (419 citations). Wai-Mui Cheung has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Teng‐Nan Lin, Chung Y. Hsu, Song‐Kun Shyue, Chien‐Kai Wang, Kenneth K. Wu, Jun‐Yang Liou, Yong He, Jin-Jer Chen, Jui‐Sheng Wu and Heng Lin. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Circulation, Stroke and Arteriosclerosis Thrombosis and Vascular 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.