Mun‐Kit Choy
- Epidemiology top 5%
- Congenital Heart Disease Studies 2
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- RNA modifications and cancer 4
- Cancer-related gene regulation 4
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 3
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- Tracheal and airway disorders 2
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 3
- Co-authors
- Bernard KeavneyYingjuan LiuGraeme C. BlackNingxiu LiSen ChenLiesl ZühlkeRoger FooMehregan Movassagh
- Journals
- Scientific Reports (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Trends in Molecular Medicine (1 paper)
- Partner nations
- United KingdomMalaysiaUnited States
In The Last Decade
Mun‐Kit Choy
18 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Epidemiology 578
- Cardiology and Cardiovascular Medicine 335
- Molecular Biology 665
- Pulmonary and Respiratory Medicine 290
- Cancer Research 114
Countries citing papers authored by Mun‐Kit Choy
This map shows the geographic impact of Mun‐Kit Choy'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 Mun‐Kit Choy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mun‐Kit Choy more than expected).
Fields of papers citing papers by Mun‐Kit Choy
This network shows the impact of papers produced by Mun‐Kit Choy. 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 Mun‐Kit Choy. The network helps show where Mun‐Kit Choy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mun‐Kit Choy, 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 | 2022 | 1 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 32 | |
| 5 | Global birth prevalence of congenital heart defects 1970–2017: updated systematic review and meta-analysis of 260 studiesbreakdown → | 2019 | 713 |
| 6 | 2018 | 42 | |
| 7 | 2015 | 35 | |
| 8 | 2012 | 31 | |
| 9 | 2011 | 217 | |
| 10 | 2010 | 32 | |
| 11 | 2010 | 159 | |
| 12 | 2010 | 91 | |
| 13 | 2010 | 83 | |
| 14 | 2009 | 24 | |
| 15 | 2008 | 18 | |
| 16 | 2007 | 20 | |
| 17 | 2003 | 6 | |
| 18 | 2001 | 1 |
About Mun‐Kit Choy
Mun‐Kit Choy is a scholar working on Cancer Research, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (3 papers), Congenital Heart Disease Studies (2 papers) and Tracheal and airway disorders (2 papers). The work is most often cited by research in Epidemiology (578 citations), Cardiology and Cardiovascular Medicine (335 citations), Molecular Biology (665 citations), Pulmonary and Respiratory Medicine (290 citations) and Cancer Research (114 citations). Mun‐Kit Choy has collaborated with scholars based in United Kingdom, Malaysia and United States. Frequent co-authors include Bernard Keavney, Yingjuan Liu, Graeme C. Black, Ningxiu Li, Sen Chen, Liesl Zühlke, Roger Foo, Mehregan Movassagh, Martin R. Bennett and Thomas A. Down. Their work appears in journals such as Scientific Reports, Journal of Molecular and Cellular Cardiology, Trends in Molecular Medicine, Journal of Molecular Evolution and Data in Brief.
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.