Kay Cheong
Impact in
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- Genetic factors in colorectal cancer
- Oncology top 10%
- Colorectal Cancer Screening and Detection
- Colorectal Cancer Treatments and Studies
Papers in
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- Epigenetics and DNA Methylation 5
- CRISPR and Genetic Engineering 2
- Coenzyme Q10 studies and effects 1
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- Genetic factors in colorectal cancer 4
- Co-authors
- Robyn L. Ward (4 shared papers)Nicholas J. Hawkins (3 shared papers)Alan P. Meagher (3 shared papers)Terence W. O'Connor (2 shared papers)Mark Norrie (2 shared papers)Elisa Mokany (1 shared paper)Catherine M. Suter (2 shared papers)Robert G. Hamilton (1 shared paper)
- Journals
- Plant Cell Reports (2 papers)British Journal of Cancer (1 paper)Journal of Clinical Oncology (1 paper)Journal of Allergy and Clinical Immunology (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- AustraliaUnited KingdomMalaysia
In The Last Decade
Kay Cheong
9 papers receiving 847 citations
Peers
Comparison fields: 5 of 67
- Pathology and Forensic Medicine 417
- Oncology 366
- Immunology and Allergy 61
- Dermatology 84
- Cancer Research 141
Countries citing papers authored by Kay Cheong
This map shows the geographic impact of Kay Cheong'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 Kay Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Cheong more than expected).
Fields of papers citing papers by Kay Cheong
This network shows the impact of papers produced by Kay Cheong. 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 Kay Cheong. The network helps show where Kay Cheong may publish in the future.
Co-authors
The 20 scholars most cited alongside Kay Cheong, 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 | 2002 | 313 | |
| 2 | 2003 | 156 | |
| 3 | 2003 | 151 | |
| 4 | 1996 | 131 | |
| 5 | 2003 | 46 | |
| 6 | 1998 | 27 | |
| 7 | 1994 | 24 | |
| 8 | 1998 | 17 | |
| 9 | Isolation and restriction analysis of chloroplast DNA from Hevea | 1994 | 1 |
About Kay Cheong
Kay Cheong is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Dermatology and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 866 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genetic factors in colorectal cancer (4 papers), Colorectal Cancer Screening and Detection (4 papers), CRISPR and Genetic Engineering (2 papers), Coenzyme Q10 studies and effects (1 paper), Algal biology and biofuel production (1 paper), Transgenic Plants and Applications (1 paper) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (417 citations), Oncology (366 citations), Immunology and Allergy (61 citations), Dermatology (84 citations) and Cancer Research (141 citations). Kay Cheong has collaborated with scholars based in Australia, United Kingdom and Malaysia. Frequent co-authors include Robyn L. Ward, Nicholas J. Hawkins, Alan P. Meagher, Terence W. O'Connor, Mark Norrie, Elisa Mokany, Catherine M. Suter, Robert G. Hamilton, Mary Jane Cardosa and Hoong Yeet Yeang. Their work appears in journals such as Plant Cell Reports, British Journal of Cancer, Journal of Clinical Oncology, Journal of Allergy and Clinical Immunology and American Journal Of Pathology.
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.