Anne Chew
Impact in
- Oncology top 0.1%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 0.5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Co-authors
- Carl H. JuneBruce L. LevineStephan A. GruppDavid L. PorterDavid M. BarrettDavid T. TeacheyRichard AplencSusan R. Rheingold
- Journals
- Blood (13 papers)Journal of Clinical Oncology (4 papers)Molecular Therapy (2 papers)New England Journal of Medicine (2 papers)Genomics (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Anne Chew
32 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Oncology 8.4k
- Immunology 3.3k
- Genetics 2.6k
- Hematology 708
- Biomedical Engineering 2.3k
Countries citing papers authored by Anne Chew
This map shows the geographic impact of Anne Chew'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 Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Chew more than expected).
Fields of papers citing papers by Anne Chew
This network shows the impact of papers produced by Anne Chew. 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 Chew. The network helps show where Anne Chew may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Chew, 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 | 2024 | 7 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 36 | |
| 4 | 2017 | 64 | |
| 5 | 2017 | 91 | |
| 6 | 2016 | 28 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 18 | |
| 9 | Chimeric Antigen Receptor T Cells for Sustained Remissions in Leukemia Hit paper breakdown → | 2014 | 3933 |
| 10 | 2014 | 6 | |
| 11 | Mesothelin-Specific Chimeric Antigen Receptor mRNA-Engineered T Cells Induce Antitumor Activity in Solid Malignancies Hit paper breakdown → | 2013 | 693 |
| 12 | Chimeric Antigen Receptor–Modified T Cells for Acute Lymphoid Leukemia Hit paper breakdown → | 2013 | 2631 |
| 13 | 2013 | 22 | |
| 14 | 2010 | 366 | |
| 15 | 2010 | 27 | |
| 16 | 2000 | 20 | |
| 17 | 1997 | 26 | |
| 18 | 1996 | 12 | |
| 19 | 1988 | 62 | |
| 20 | 1966 | 28 |
About Anne Chew
Anne Chew is a scholar working on Oncology, Genetics, Immunology, Pathology and Forensic Medicine and Genetics, having authored 34 papers that have together received 9.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (24 papers), Chronic Lymphocytic Leukemia Research (8 papers), Virus-based gene therapy research (7 papers), Acute Lymphoblastic Leukemia research (5 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (5 papers), T-cell and B-cell Immunology (4 papers) and Biosimilars and Bioanalytical Methods (3 papers). The work is most often cited by research in Oncology (8.4k citations), Immunology (3.3k citations), Genetics (2.6k citations), Hematology (708 citations) and Biomedical Engineering (2.3k citations). Anne Chew has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Carl H. June, Bruce L. Levine, Stephan A. Grupp, David L. Porter, David M. Barrett, David T. Teachey, Richard Aplenc, Susan R. Rheingold, Simon F. Lacey and J. Joseph Melenhorst. Their work appears in journals such as Blood, Journal of Clinical Oncology, Molecular Therapy, New England Journal of Medicine and Genomics.
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.