Michael M.H. Cheung
- Pathology and Forensic Medicine top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 2%
- Surgery top 5%
- Developmental Neuroscience top 0.5%
- Co-authors
- Igor E. KonstantinovAndrew N. RedingtonYves d’UdekemRajesh KharbandaMikiko ShimizuChristian P. BrizardJohn K. C. ChanC.S. Ng
- Topics
- Congenital Heart Disease Studies (50 papers)Cardiovascular Function and Risk Factors (21 papers)Cardiovascular Health and Disease Prevention (15 papers)
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
Michael M.H. Cheung
109 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 108
- Pathology and Forensic Medicine 1.4k
- Cardiology and Cardiovascular Medicine 1.1k
- Epidemiology 1.1k
- Surgery 831
- Developmental Neuroscience 785
Countries citing papers authored by Michael M.H. Cheung
This map shows the geographic impact of Michael M.H. 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 Michael M.H. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael M.H. Cheung more than expected).
Fields of papers citing papers by Michael M.H. Cheung
This network shows the impact of papers produced by Michael M.H. 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 Michael M.H. Cheung. The network helps show where Michael M.H. Cheung may publish in the future.
Co-authorship network of co-authors of Michael M.H. Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of Michael M.H. Cheung. A scholar is included among the top collaborators of Michael M.H. 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 Michael M.H. Cheung. Michael M.H. Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 69 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 29 | |
| 13 | 28 | |
| 14 | 31 | |
| 15 | 41 | |
| 16 | 22 | |
| 17 | 5 | |
| 18 | 36 | |
| 19 | Remote ischemic preconditioning reduces myocardial injury in children undergoing open heart surgery | 5 |
| 20 | Remote ischemic preconditioning protects from cardiopulmonary bypass injury in vivo | 5 |
About Michael M.H. Cheung
Michael M.H. Cheung is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Epidemiology, having authored 111 papers that have together received 3.5k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (50 papers), Cardiovascular Function and Risk Factors (21 papers) and Cardiovascular Health and Disease Prevention (15 papers). The work is most often cited by research in Developmental Neuroscience (785 citations), Emergency Medicine (752 citations) and Pathology and Forensic Medicine (1.4k citations). Michael M.H. Cheung has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Igor E. Konstantinov, Andrew N. Redington, Yves d’Udekem, Rajesh Kharbanda, Mikiko Shimizu, Christian P. Brizard, John K. C. Chan, C.S. Ng, William Foo and Peter Chan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Oncology.
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.