Wai-Mui Cheung

840 total citations
8 papers, 726 citations indexed

About

Wai-Mui Cheung is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wai-Mui Cheung has authored 8 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Wai-Mui Cheung's work include Angiogenesis and VEGF in Cancer (4 papers), Inflammatory mediators and NSAID effects (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Wai-Mui Cheung is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Inflammatory mediators and NSAID effects (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Wai-Mui Cheung collaborates with scholars based in Taiwan and United States. Wai-Mui Cheung's co-authors include Teng‐Nan Lin, Chung Y. Hsu, Chien‐Kai Wang, Song‐Kun Shyue, Kenneth K. Wu, Jun‐Yang Liou, Yong He, Jin-Jer Chen, Jui‐Sheng Wu and Heng Lin and has published in prestigious journals such as Circulation, Stroke and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Wai-Mui Cheung

8 papers receiving 717 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wai-Mui Cheung Taiwan 8 419 196 113 88 84 8 726
Deepti Navaratna United States 11 347 0.8× 292 1.5× 125 1.1× 125 1.4× 131 1.6× 12 883
Yongshan Mou United States 15 641 1.5× 114 0.6× 119 1.1× 84 1.0× 119 1.4× 21 959
Issam A. Ayoub United States 9 380 0.9× 178 0.9× 105 0.9× 94 1.1× 214 2.5× 9 804
Malcolm E. Meistrell United States 9 315 0.8× 330 1.7× 152 1.3× 77 0.9× 43 0.5× 11 871
Songjie Liao China 14 212 0.5× 226 1.2× 110 1.0× 91 1.0× 105 1.3× 30 594
Fengfeng Tian Japan 14 357 0.9× 193 1.0× 102 0.9× 185 2.1× 55 0.7× 17 704
Nicholas Mitsios Sweden 21 434 1.0× 204 1.0× 148 1.3× 76 0.9× 125 1.5× 32 963
Amjad Shehadah United States 19 323 0.8× 242 1.2× 113 1.0× 117 1.3× 65 0.8× 22 747
Emi Omura‐Matsuoka Japan 16 295 0.7× 362 1.8× 241 2.1× 104 1.2× 47 0.6× 20 902

Countries citing papers authored by Wai-Mui Cheung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wai-Mui Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Wai-Mui Cheung. A scholar is included among the top collaborators of Wai-Mui Cheung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wai-Mui Cheung. Wai-Mui Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Wu, Jui‐Sheng, Wai-Mui Cheung, Yau-Sheng Tsai, et al.. (2009). Ligand-Activated Peroxisome Proliferator–Activated Receptor-γ Protects Against Ischemic Cerebral Infarction and Neuronal Apoptosis by 14-3-3ε Upregulation. Circulation. 119(8). 1124–1134. 98 indexed citations
2.
Lin, Chien‐Yuan, Chang Chen, Wai-Mui Cheung, et al.. (2008). Dynamic Changes in Vascular Permeability, Cerebral Blood Volume, Vascular Density, and Size after Transient Focal Cerebral Ischemia in Rats: Evaluation with Contrast-Enhanced Magnetic Resonance Imaging. Journal of Cerebral Blood Flow & Metabolism. 28(8). 1491–1501. 100 indexed citations
3.
Wu, Jui‐Sheng, Wai-Mui Cheung, Ping‐Hui Tseng, et al.. (2005). Induction of Prostacyclin/PGI2 Synthase Expression After Cerebral Ischemia–Reperfusion. Journal of Cerebral Blood Flow & Metabolism. 26(4). 491–501. 37 indexed citations
4.
Lin, Teng‐Nan, Wai-Mui Cheung, Jui‐Sheng Wu, et al.. (2005). 15d-Prostaglandin J 2 Protects Brain From Ischemia-Reperfusion Injury. Arteriosclerosis Thrombosis and Vascular Biology. 26(3). 481–487. 115 indexed citations
5.
Lin, Teng‐Nan, et al.. (2003). Differential Regulation of Thrombospondin-1 and Thrombospondin-2 After Focal Cerebral Ischemia/Reperfusion. Stroke. 34(1). 177–186. 146 indexed citations
6.
Lin, Heng, Teng‐Nan Lin, Wai-Mui Cheung, et al.. (2002). Cyclooxygenase-1 and Bicistronic Cyclooxygenase-1/Prostacyclin Synthase Gene Transfer Protect Against Ischemic Cerebral Infarction. Circulation. 105(16). 1962–1969. 67 indexed citations
7.
Lin, Teng‐Nan, Shu-Fen Chen, Wai-Mui Cheung, et al.. (2001). Induction of Tie-1 and Tie-2 Receptor Protein Expression after Cerebral Ischemia—Reperfusion. Journal of Cerebral Blood Flow & Metabolism. 21(6). 690–701. 45 indexed citations
8.
Lin, Teng‐Nan, Chien‐Kai Wang, Wai-Mui Cheung, & Chung Y. Hsu. (2000). Induction of Angiopoietin and Tie Receptor mRNA Expression after Cerebral Ischemia–Reperfusion. Journal of Cerebral Blood Flow & Metabolism. 20(2). 387–395. 118 indexed citations

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.

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