Fred Cheung
- Otorhinolaryngology top 0.5%
- Head and Neck Cancer Studies 5
- Oncology top 10%
- Surgery top 5%
- Cholangiocarcinoma and Gallbladder Cancer Studies 2
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- Lung Cancer Treatments and Mutations 2
- Radiation top 10%
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- Lymphoma Diagnosis and Treatment 4
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- Adenosine and Purinergic Signaling 1
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- Radiomics and Machine Learning in Medical Imaging 1
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- Virus-based gene therapy research 1
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- Protein Structure and Dynamics 1
- Co-authors
- Stewart Y. TungJ. H. C. HoStephen C.K. LawY.F. PoonWilliam FooAnne W.M. LeeDavid ChanSai Ki O
- Cited by
- OtorhinolaryngologyOncologySurgery
- Journals
- International Journal of Radiation Oncology*Biology*Physics (5 papers)British Journal of Radiology (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Fred Cheung
9 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Otorhinolaryngology 752
- Oncology 455
- Surgery 564
- Pulmonary and Respiratory Medicine 318
- Radiation 80
Countries citing papers authored by Fred Cheung
This map shows the geographic impact of Fred Cheung'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 Fred Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Cheung more than expected).
Fields of papers citing papers by Fred Cheung
This network shows the impact of papers produced by Fred Cheung. 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 Fred Cheung. The network helps show where Fred Cheung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fred Cheung, 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 | 23 | |
| 2 | 2011 | 26 | |
| 3 | 2006 | 10 | |
| 4 | 2003 | 50 | |
| 5 | 1994 | 40 | |
| 6 | 1993 | 191 | |
| 7 | 1993 | 68 | |
| 8 | Retrospective analysis of 5037 patients with nasopharyngeal carcinoma treated during 1976–1985: Overall survival and patterns of failurebreakdown → | 1992 | 544 |
| 9 | 1992 | 156 |
About Fred Cheung
Fred Cheung is a scholar working on Otorhinolaryngology, Pathology and Forensic Medicine, Physiology, Radiation and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Adenosine and Purinergic Signaling (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Virus-based gene therapy research (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Otorhinolaryngology (752 citations), Oncology (455 citations), Surgery (564 citations), Pulmonary and Respiratory Medicine (318 citations) and Radiation (80 citations). Fred Cheung has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Stewart Y. Tung, J. H. C. Ho, Stephen C.K. Law, Y.F. Poon, William Foo, Anne W.M. Lee, David Chan, Sai Ki O, S.-H. Ng and Michael Proudfoot. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, British Journal of Radiology, Human Gene Therapy and Journal of Biological Chemistry.
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.