Anne E. Cheung
Impact in
- Oncology top 10%
- Polyomavirus and related diseases
- Cancer Cells and Metastasis
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
Papers in
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- Cell Adhesion Molecules Research 2
-
- Toxin Mechanisms and Immunotoxins 1
- Immune cells in cancer 1
- Co-authors
- Ling Ling Chen (6 shared papers)Sarah A. Bixler (2 shared papers)Kenneth J. Simon (2 shared papers)Leonid Gorelik (2 shared papers)Ewa Wilson (1 shared paper)Mary Crossman (1 shared paper)Melissa Berman (1 shared paper)Susan E. Goelz (1 shared paper)
- Journals
- Journal of Clinical Investigation (1 paper)European Journal of Biochemistry (1 paper)American Journal Of Pathology (1 paper)mAbs (1 paper)Cell chemical biology (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Anne E. Cheung
13 papers receiving 906 citations
Peers
Comparison fields: 5 of 63
- Oncology 274
- Pathology and Forensic Medicine 172
- Cancer Research 80
- Physiology 104
- Molecular Biology 190
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 | 362 | |
| 2 | 2003 | 139 | |
| 3 | 2008 | 110 | |
| 4 | 2017 | 102 | |
| 5 | 2018 | 59 | |
| 6 | 2021 | 56 | |
| 7 | 2011 | 35 | |
| 8 | 2024 | 21 | |
| 9 | 2021 | 16 | |
| 10 | 2003 | 14 | |
| 11 | 2015 | 14 | |
| 12 | 2010 | 5 | |
| 13 | 2008 | 4 |
About Anne E. Cheung
Anne E. Cheung is a scholar working on Immunology and Allergy, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 13 papers that have together received 937 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (2 papers), Cell Adhesion Molecules Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Toxin Mechanisms and Immunotoxins (1 paper), Alzheimer's disease research and treatments (1 paper), Protein Degradation and Inhibitors (1 paper), Immune cells in cancer (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Oncology (274 citations), Pathology and Forensic Medicine (172 citations), Cancer Research (80 citations), Physiology (104 citations) and Molecular Biology (190 citations). Anne E. Cheung has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Ling Ling Chen, Sarah A. Bixler, Kenneth J. Simon, Leonid Gorelik, Ewa Wilson, Mary Crossman, Melissa Berman, Susan E. Goelz, Michaela Lerner and Alfred W. Sandrock. Their work appears in journals such as Journal of Clinical Investigation, European Journal of Biochemistry, American Journal Of Pathology, mAbs and Cell chemical biology.
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.