Claude Chew
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Response and Inflammation
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
- Immunology 10
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Phagocytosis and Immune Regulation 2
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- Co-authors
- Raphael Clynes (4 shared papers)Lucrezia Colonna (2 shared papers)Marcella Flores (2 shared papers)Steven M. Greenberg (2 shared papers)Benjamin M. Dale (2 shared papers)Nianyu Li (1 shared paper)Dario A.A. Vignali (1 shared paper)Craig D. Workman (1 shared paper)
- Journals
- The Journal of Immunology (4 papers)iScience (1 paper)Brain Behavior and Immunity (1 paper)Cytometry Part A (1 paper)FEBS Journal (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Claude Chew
12 papers receiving 644 citations
Peers
Comparison fields: 5 of 73
- Immunology 481
- Rehabilitation 87
- Oncology 210
- Transplantation 11
- Hematology 40
Countries citing papers authored by Claude Chew
This map shows the geographic impact of Claude 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 Claude Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Chew more than expected).
Fields of papers citing papers by Claude Chew
This network shows the impact of papers produced by Claude 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 Claude Chew. The network helps show where Claude Chew may publish in the future.
Co-authors
The 25 scholars most cited alongside Claude 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 | 2008 | 397 | |
| 2 | 2013 | 128 | |
| 3 | 2010 | 56 | |
| 4 | 2014 | 16 | |
| 5 | 2011 | 12 | |
| 6 | 2015 | 11 | |
| 7 | 2022 | 11 | |
| 8 | Epstein Barr virus (EBV) antibodies in the diagnosis of NPC--comparison between IFA and two commercial ELISA kits. | 1998 | 11 |
| 9 | 2024 | 4 | |
| 10 | 2013 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2025 | 0 |
About Claude Chew
Claude Chew is a scholar working on Immunology, Infectious Diseases, Oncology, Cell Biology and Molecular Biology, having authored 13 papers that have together received 653 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Phagocytosis and Immune Regulation (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), HIV Research and Treatment (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Immunology (481 citations), Rehabilitation (87 citations), Oncology (210 citations), Transplantation (11 citations) and Hematology (40 citations). Claude Chew has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Raphael Clynes, Lucrezia Colonna, Marcella Flores, Steven M. Greenberg, Benjamin M. Dale, Nianyu Li, Dario A.A. Vignali, Craig D. Workman, Edina Schweighoffer and Victor L. J. Tybulewicz. Their work appears in journals such as The Journal of Immunology, iScience, Brain Behavior and Immunity, Cytometry Part A and FEBS Journal.
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.