Eric C. Cheung
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 14
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 7
- Cell death mechanisms and regulation 6
- Epigenetics and DNA Methylation 4
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism 3
- Oncology top 5%
- Cancer-related Molecular Pathways 7
- Clinical Biochemistry top 2%
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- Cancer Research and Treatments 11
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- Autophagy in Disease and Therapy 3
- Co-authors
- Karen H. VousdenRuth S. SlackInbal MorKarim BensaadOliver D.K. MaddocksChristiaan F. LabuschagnePearl LeeKaren Blyth
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Eric C. Cheung
35 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cancer Research 1.6k
- Molecular Biology 3.5k
- Biochemistry 239
- Oncology 778
- Clinical Biochemistry 187
Countries citing papers authored by Eric C. Cheung
This map shows the geographic impact of Eric C. 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 Eric C. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric C. Cheung more than expected).
Fields of papers citing papers by Eric C. Cheung
This network shows the impact of papers produced by Eric C. 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 Eric C. Cheung. The network helps show where Eric C. Cheung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric C. 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 | 2025 | 1 | |
| 2 | 2023 | 69 | |
| 3 | 2023 | 22 | |
| 4 | The role of ROS in tumour development and progressionbreakdown → | 2022 | 1074 |
| 5 | 2020 | 180 | |
| 6 | 2019 | 157 | |
| 7 | 2017 | 17 | |
| 8 | 2015 | 83 | |
| 9 | 2014 | 27 | |
| 10 | 2014 | 77 | |
| 11 | 2013 | 155 | |
| 12 | 2011 | 230 | |
| 13 | 2010 | 71 | |
| 14 | 2009 | 307 | |
| 15 | 2008 | 154 | |
| 16 | 2007 | 158 | |
| 17 | 2007 | 56 | |
| 18 | 2005 | 153 | |
| 19 | 2004 | 83 | |
| 20 | 1998 | 16 |
About Eric C. Cheung
Eric C. Cheung is a scholar working on Biotechnology, Cancer Research, Biochemistry, Molecular Biology and Oncology, having authored 35 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (14 papers), Cancer Research and Treatments (11 papers), Mitochondrial Function and Pathology (7 papers), Cancer-related Molecular Pathways (7 papers), Cell death mechanisms and regulation (6 papers), Epigenetics and DNA Methylation (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (3.5k citations), Biochemistry (239 citations), Oncology (778 citations) and Clinical Biochemistry (187 citations). Eric C. Cheung has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Karen H. Vousden, Ruth S. Slack, Inbal Mor, Karim Bensaad, Oliver D.K. Maddocks, Christiaan F. Labuschagne, Pearl Lee, Karen Blyth, David S. Park and Kevin M. Brindle. Their work appears in journals such as Journal of Neuroscience, Cell Metabolism, Nature, The EMBO Journal and Proceedings of the National Academy of Sciences.
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.