Chun‐Ming Wong
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 0.5%
- RNA modifications and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
-
- Cancer, Hypoxia, and Metabolism 20
- Cancer-related molecular mechanisms research 18
- MicroRNA in disease regulation 13
- Co-authors
- Irene Oi‐Lin NgCarmen Chak‐Lui WongFelice Ho‐Ching TsangJoyce Man‐Fong LeeDavid Kung‐Chun ChiuMengnuo ChenCheuk‐Ting LawLai Wei
- Journals
- Hepatology (17 papers)Cancer Research (9 papers)Journal of Hepatology (6 papers)PLoS ONE (5 papers)Nature Communications (4 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Chun‐Ming Wong
123 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Cancer Research 4.0k
- Molecular Biology 6.7k
- Hepatology 633
- Oncology 1.6k
- Immunology 839
Countries citing papers authored by Chun‐Ming Wong
This map shows the geographic impact of Chun‐Ming Wong'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 Chun‐Ming Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Ming Wong more than expected).
Fields of papers citing papers by Chun‐Ming Wong
This network shows the impact of papers produced by Chun‐Ming Wong. 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 Chun‐Ming Wong. The network helps show where Chun‐Ming Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Ming Wong, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 41 | |
| 4 | 2022 | 6 | |
| 5 | 2020 | 38 | |
| 6 | 2019 | 42 | |
| 7 | 2016 | 69 | |
| 8 | 2016 | 87 | |
| 9 | Health of catering workers in Hong Kong: impact of the 2006 tobacco control legislation. | 2014 | 0 |
| 10 | 2014 | 66 | |
| 11 | 2013 | 20 | |
| 12 | 2013 | 35 | |
| 13 | 2012 | 95 | |
| 14 | 2011 | 90 | |
| 15 | 2010 | 254 | |
| 16 | 2010 | 36 | |
| 17 | 2008 | 29 | |
| 18 | 2007 | 126 | |
| 19 | 2005 | 174 | |
| 20 | 1986 | 12 |
About Chun‐Ming Wong
Chun‐Ming Wong is a scholar working on Cancer Research, Chemical Health and Safety, Molecular Biology, Health, Toxicology and Mutagenesis and Oncology, having authored 130 papers that have together received 9.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (30 papers), Cancer, Hypoxia, and Metabolism (20 papers), Cancer-related molecular mechanisms research (18 papers), Epigenetics and DNA Methylation (17 papers), MicroRNA in disease regulation (13 papers), Cancer-related gene regulation (11 papers), Air Quality and Health Impacts (8 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Cancer Research (4.0k citations), Molecular Biology (6.7k citations), Hepatology (633 citations), Oncology (1.6k citations) and Immunology (839 citations). Chun‐Ming Wong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Irene Oi‐Lin Ng, Carmen Chak‐Lui Wong, Felice Ho‐Ching Tsang, Joyce Man‐Fong Lee, David Kung‐Chun Chiu, Mengnuo Chen, Cheuk‐Ting Law, Lai Wei, Sandy Leung–Kuen Au and Xiao Dong Chen. Their work appears in journals such as Hepatology, Cancer Research, Journal of Hepatology, PLoS ONE and Nature Communications.
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.