Maggie C.U. Cheang
- Cancer Research top 0.02%
- Breast Cancer Treatment Studies 60
- Cancer Genomics and Diagnostics 14
- Oncology top 0.05%
- HER2/EGFR in Cancer Research 51
- Pathology and Forensic Medicine top 0.1%
- Breast Lesions and Carcinomas 10
- Pulmonary and Respiratory Medicine top 0.5%
- Advanced Breast Cancer Therapies 20
- Molecular Biology top 0.5%
- Gene expression and cancer classification 11
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- Estrogen and related hormone effects 20
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Torsten O. NielsenCharles M. PerouDavid VoducSamuel LeungHagen F. KenneckePhilip S. BernardJoel S. ParkerStephen Chia
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Maggie C.U. Cheang
118 papers receiving 20.9k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Cancer Research 12.4k
- Oncology 12.6k
- Pathology and Forensic Medicine 3.4k
- Pulmonary and Respiratory Medicine 4.0k
- Molecular Biology 7.4k
Countries citing papers authored by Maggie C.U. Cheang
This map shows the geographic impact of Maggie C.U. Cheang'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 Maggie C.U. Cheang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maggie C.U. Cheang more than expected).
Fields of papers citing papers by Maggie C.U. Cheang
This network shows the impact of papers produced by Maggie C.U. Cheang. 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 Maggie C.U. Cheang. The network helps show where Maggie C.U. Cheang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maggie C.U. Cheang, 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 | 2023 | 3 | |
| 2 | 2021 | 9 | |
| 3 | 2020 | 147 | |
| 4 | 2019 | 13 | |
| 5 | 2019 | 16 | |
| 6 | 2018 | 20 | |
| 7 | 2016 | 10 | |
| 8 | 2015 | 112 | |
| 9 | 2015 | 263 | |
| 10 | 2015 | 28 | |
| 11 | 2013 | 40 | |
| 12 | 2013 | 403 | |
| 13 | 2012 | 105 | |
| 14 | 2011 | 57 | |
| 15 | A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancerbreakdown → | 2010 | 542 |
| 16 | 2009 | 407 | |
| 17 | Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypesbreakdown → | 2009 | 3093 |
| 18 | Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancerbreakdown → | 2009 | 1641 |
| 19 | 2006 | 136 | |
| 20 | 2005 | 249 |
About Maggie C.U. Cheang
Maggie C.U. Cheang is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 122 papers that have together received 21.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (60 papers), HER2/EGFR in Cancer Research (51 papers), Advanced Breast Cancer Therapies (20 papers), Estrogen and related hormone effects (20 papers), Cancer Genomics and Diagnostics (14 papers), Gene expression and cancer classification (11 papers), Breast Lesions and Carcinomas (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Cancer Research (12.4k citations), Oncology (12.6k citations) and Pathology and Forensic Medicine (3.4k citations). Maggie C.U. Cheang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Torsten O. Nielsen, Charles M. Perou, David Voduc, Samuel Leung, Hagen F. Kennecke, Philip S. Bernard, Joel S. Parker, Stephen Chia, Matthew J. Ellis and Karen A. Gelmon. Their work appears in journals such as JAMA, Nature Communications and Journal of Clinical Oncology.
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.