Mun‐Kit Choy
Impact in
- Epidemiology top 5%
- Congenital Heart Disease Studies
Papers in
-
- Cancer-related gene regulation 3
- Photosynthetic Processes and Mechanisms 2
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 2
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Co-authors
- Bernard Keavney (7 shared papers)Yingjuan Liu (6 shared papers)Graeme C. Black (4 shared papers)Sen Chen (2 shared papers)Ningxiu Li (2 shared papers)Liesl Zühlke (2 shared papers)Roger Foo (6 shared papers)Mehregan Movassagh (6 shared papers)
- Journals
- Journal of Molecular and Cellular Cardiology (1 paper)Circulation (1 paper)Genome biology (1 paper)Genes & Diseases (1 paper)Data in Brief (1 paper)
- Partner nations
- United KingdomMalaysiaChina
In The Last Decade
Mun‐Kit Choy
19 papers receiving 1.6k citations
Mun‐Kit Choy's Hit Papers
Peers
Comparison fields: 5 of 95
- Epidemiology 484
- Cardiology and Cardiovascular Medicine 244
- Molecular Biology 627
- Cancer Research 95
- Genetics 172
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-authors
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 | Global birth prevalence of congenital heart defects 1970–2017: updated systematic review and meta-analysis of 260 studies Hit paper breakdown → | 2019 | 773 |
| 2 | 2011 | 233 | |
| 3 | 2010 | 175 | |
| 4 | 2010 | 94 | |
| 5 | 2010 | 86 | |
| 6 | 2018 | 43 | |
| 7 | 2020 | 35 | |
| 8 | 2015 | 35 | |
| 9 | 2012 | 33 | |
| 10 | 2010 | 32 | |
| 11 | 2009 | 25 | |
| 12 | 2008 | 22 | |
| 13 | 2007 | 20 | |
| 14 | 2008 | 18 | |
| 15 | 2003 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2022 | 1 | |
| 19 | 2001 | 1 |
About Mun‐Kit Choy
Mun‐Kit Choy is a scholar working on Molecular Biology, Immunology, Plant Science, Cancer Research and Surgery, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Cancer-related gene regulation (3 papers), Immune Cell Function and Interaction (3 papers), Congenital Heart Disease Studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers), RNA Research and Splicing (2 papers), Plant Molecular Biology Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Epidemiology (484 citations), Cardiology and Cardiovascular Medicine (244 citations), Molecular Biology (627 citations), Cancer Research (95 citations) and Genetics (172 citations). Mun‐Kit Choy has collaborated with scholars based in United Kingdom, Malaysia and China. Frequent co-authors include Bernard Keavney, Yingjuan Liu, Graeme C. Black, Sen Chen, Ningxiu Li, Liesl Zühlke, Roger Foo, Mehregan Movassagh, Martin R. Bennett and Thomas A. Down. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation, Genome biology, Genes & Diseases 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.