Eric Chuah
Impact in
- Cancer Research top 0.01%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.05%
- Cancer Immunotherapy and Biomarkers
Papers in
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- Cancer Genomics and Diagnostics 54
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- RNA modifications and cancer 17
- Epigenetics and DNA Methylation 12
- RNA Research and Splicing 10
- Genomics and Chromatin Dynamics 9
- Genomics and Phylogenetic Studies 8
- Co-authors
- İnanç BİROL (1 shared paper)Christopher J. Dutton (1 shared paper)Lauren Coombe (1 shared paper)Gregory Alan Taylor (1 shared paper)Justin Chu (1 shared paper)Richard A. Moore (1 shared paper)Pawan K. Pandoh (2 shared papers)Rebecca Birch Carlsen (1 shared paper)
- Journals
- Nature (17 papers)Cell Reports (16 papers)Cell (14 papers)Nature Communications (13 papers)Cancer Cell (13 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Eric Chuah
108 papers receiving 76.1k citations
Eric Chuah's Hit Papers
Peers
Comparison fields: 5 of 193
- Cancer Research 22.6k
- Oncology 17.6k
- Pulmonary and Respiratory Medicine 16.8k
- Molecular Biology 36.2k
- Genetics 3.5k
Countries citing papers authored by Eric Chuah
This map shows the geographic impact of Eric Chuah'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 Chuah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Chuah more than expected).
Fields of papers citing papers by Eric Chuah
This network shows the impact of papers produced by Eric Chuah. 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 Chuah. The network helps show where Eric Chuah may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Chuah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive molecular characterization of gastric adenocarcinoma Hit paper breakdown → | 2014 | 5209 |
| 2 | Integrative analysis of 111 reference human epigenomes Hit paper breakdown → | 2015 | 4564 |
| 3 | Comprehensive molecular profiling of lung adenocarcinoma Hit paper breakdown → | 2014 | 4550 |
| 4 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4331 |
| 5 | Comprehensive genomic characterization of squamous cell lung cancers Hit paper breakdown → | 2012 | 3290 |
| 6 | Comprehensive molecular characterization of clear cell renal cell carcinoma Hit paper breakdown → | 2013 | 2829 |
| 7 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 8 | Integrated Genomic Characterization of Papillary Thyroid Carcinoma Hit paper breakdown → | 2014 | 2442 |
| 9 | The Molecular Taxonomy of Primary Prostate Cancer Hit paper breakdown → | 2015 | 2435 |
| 10 | Comprehensive molecular characterization of urothelial bladder carcinoma Hit paper breakdown → | 2014 | 2419 |
| 11 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 12 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 13 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 14 | Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma Hit paper breakdown → | 2017 | 1970 |
| 15 | Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer Hit paper breakdown → | 2017 | 1931 |
| 16 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 17 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 18 | Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma Hit paper breakdown → | 2016 | 1643 |
| 19 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 20 | Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2017 | 1559 |
About Eric Chuah
Eric Chuah is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 109 papers that have together received 76.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (54 papers), RNA modifications and cancer (17 papers), Genetic factors in colorectal cancer (15 papers), Epigenetics and DNA Methylation (12 papers), RNA Research and Splicing (10 papers), Genomics and Chromatin Dynamics (9 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Cancer Research (22.6k citations), Oncology (17.6k citations), Pulmonary and Respiratory Medicine (16.8k citations), Molecular Biology (36.2k citations) and Genetics (3.5k citations). Eric Chuah has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include İnanç BİROL, Christopher J. Dutton, Lauren Coombe, Gregory Alan Taylor, Justin Chu, Richard A. Moore, Pawan K. Pandoh, Rebecca Birch Carlsen, Yongjun Zhao and Dean Cheng. Their work appears in journals such as Nature, Cell Reports, Cell, Nature Communications and Cancer Cell.
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.