Anne E. Cheung
Impact in
- Oncology top 10%
- Polyomavirus and related diseases
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
Papers in ⓘ
- Oncology 6
- Polyomavirus and related diseases 2
- HER2/EGFR in Cancer Research 2
- PARP inhibition in cancer therapy 2
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- Cancer-related gene regulation 2
- Developmental Biology and Gene Regulation 2
- Advanced biosensing and bioanalysis techniques 1
- Kruppel-like factors research 1
- Co-authors
- Ling Ling Chen (7 shared papers)Sarah A. Bixler (2 shared papers)Leonid Gorelik (2 shared papers)Kenneth J. Simon (2 shared papers)Roy L. Silverstein (1 shared paper)Qi‐Tai Zheng (1 shared paper)S K Lo (1 shared paper)Brian Schlain (1 shared paper)
- Journals
- Journal of Clinical Investigation (2 papers)mAbs (1 paper)The Journal of Immunology (1 paper)Cell Communication & Adhesion (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Anne E. Cheung
13 papers receiving 775 citations
Peers
Comparison fields: 5 of 79
- Oncology 380
- Pathology and Forensic Medicine 188
- Immunology and Allergy 57
- Cancer Research 110
- Immunology 143
Countries citing papers authored by Anne E. Cheung
This map shows the geographic impact of Anne E. 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 Anne E. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne E. Cheung more than expected).
Fields of papers citing papers by Anne E. Cheung
This network shows the impact of papers produced by Anne E. 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 Anne E. Cheung. The network helps show where Anne E. Cheung may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne E. 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 | 2010 | 326 | |
| 2 | 2003 | 134 | |
| 3 | 2008 | 109 | |
| 4 | 1995 | 82 | |
| 5 | 2018 | 50 | |
| 6 | 2011 | 30 | |
| 7 | 2015 | 17 | |
| 8 | 2003 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2003 | 6 | |
| 11 | 2010 | 5 | |
| 12 | 2008 | 4 | |
| 13 | 2020 | 1 |
About Anne E. Cheung
Anne E. Cheung is a scholar working on Oncology, Molecular Biology, Immunology and Allergy, Cell Biology and Electrical and Electronic Engineering, having authored 13 papers that have together received 792 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Polyomavirus and related diseases (2 papers), Cancer-related gene regulation (2 papers), HER2/EGFR in Cancer Research (2 papers), PARP inhibition in cancer therapy (2 papers), Developmental Biology and Gene Regulation (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Oncology (380 citations), Pathology and Forensic Medicine (188 citations), Immunology and Allergy (57 citations), Cancer Research (110 citations) and Immunology (143 citations). Anne E. Cheung has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Ling Ling Chen, Sarah A. Bixler, Leonid Gorelik, Kenneth J. Simon, Roy L. Silverstein, Qi‐Tai Zheng, S K Lo, Brian Schlain, Michaela Lerner and Mary Crossman. Their work appears in journals such as Journal of Clinical Investigation, mAbs, The Journal of Immunology, Cell Communication & Adhesion and European Journal of Biochemistry.
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.