Ka‐Fai To
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research 51
- MicroRNA in disease regulation 31
- Oncology top 0.1%
- Viral-associated cancers and disorders 50
- Otorhinolaryngology top 0.2%
- Infectious Diseases top 0.2%
- Gastroenterology top 0.2%
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- Epigenetics and DNA Methylation 59
- RNA modifications and cancer 57
- Cancer-related gene regulation 49
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- Helicobacter pylori-related gastroenterology studies 44
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- Genetic factors in colorectal cancer 30
Ka‐Fai To
556 papers receiving 34.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Cancer Research 7.6k
- Oncology 8.9k
- Otorhinolaryngology 1.1k
- Infectious Diseases 4.1k
- Gastroenterology 1.2k
Countries citing papers authored by Ka‐Fai To
This map shows the geographic impact of Ka‐Fai To'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 Ka‐Fai To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka‐Fai To more than expected).
Fields of papers citing papers by Ka‐Fai To
This network shows the impact of papers produced by Ka‐Fai To. 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 Ka‐Fai To. The network helps show where Ka‐Fai To may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ka‐Fai To, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 48 | |
| 5 | 2020 | 59 | |
| 6 | 2019 | 34 | |
| 7 | 2018 | 67 | |
| 8 | MET Amplification and Exon 14 Splice Site Mutation Define Unique Molecular Subgroups of Non–Small Cell Lung Carcinoma with Poor Prognosisbreakdown → | 2016 | 330 |
| 9 | 2016 | 59 | |
| 10 | 2016 | 147 | |
| 11 | 2015 | 110 | |
| 12 | 2012 | 115 | |
| 13 | 2011 | 157 | |
| 14 | 2011 | 211 | |
| 15 | 2011 | 180 | |
| 16 | 2010 | 210 | |
| 17 | 2008 | 369 | |
| 18 | 2005 | 89 | |
| 19 | 2003 | 79 | |
| 20 | Coexpression of hypoxia-inducible factors 1alpha and 2alpha, carbonic anhydrase IX, and vascular endothelial growth factor in nasopharyngeal carcinoma and relationship to survival. | 2002 | 263 |
About Ka‐Fai To
Ka‐Fai To is a scholar working on Cancer Research, Oncology and Otorhinolaryngology, having authored 566 papers that have together received 34.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (59 papers), RNA modifications and cancer (57 papers), Cancer-related molecular mechanisms research (51 papers), Viral-associated cancers and disorders (50 papers), Cancer-related gene regulation (49 papers), Helicobacter pylori-related gastroenterology studies (44 papers), MicroRNA in disease regulation (31 papers) and Genetic factors in colorectal cancer (30 papers). The work is most often cited by research in Cancer Research (7.6k citations), Oncology (8.9k citations) and Otorhinolaryngology (1.1k citations). Ka‐Fai To has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Joseph J.�Y. Sung, Kwok Wai Lo, Jun Yu, Wai K. Leung, Joanna H. Tong, Anthony W.H. Chan, Paul K.S. Chan, Francis K.L. Chan, Wei Kang and Paul B.S. Lai. Their work appears in journals such as Gastroenterology, International Journal of Cancer, Cancer Research, Oncogene and The 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.