Faye Reddington
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
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- CAR-T cell therapy research
Papers in
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- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 2
- Immune Response and Inflammation 1
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- Tuberculosis Research and Epidemiology 1
- Co-authors
- Gurdyal S. Besra (8 shared papers)Xiuxu Chen (3 shared papers)Jenny E. Gumperz (3 shared papers)Petr A. Illarionov (2 shared papers)Steven A. Porcelli (3 shared papers)Jin S. Im (2 shared papers)Mariolina Salio (2 shared papers)Vincenzo Cerundolo (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)Bioorganic & Medicinal Chemistry (1 paper)Journal of Leukocyte Biology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Faye Reddington
8 papers receiving 520 citations
Peers
Comparison fields: 5 of 48
- Immunology 477
- Oncology 80
- Physiology 12
- Infectious Diseases 36
- Epidemiology 48
Countries citing papers authored by Faye Reddington
This map shows the geographic impact of Faye Reddington'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 Faye Reddington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faye Reddington more than expected).
Fields of papers citing papers by Faye Reddington
This network shows the impact of papers produced by Faye Reddington. 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 Faye Reddington. The network helps show where Faye Reddington may publish in the future.
Co-authors
The 25 scholars most cited alongside Faye Reddington, 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 | 2007 | 190 | |
| 2 | 2006 | 85 | |
| 3 | 2009 | 64 | |
| 4 | 2006 | 60 | |
| 5 | 2007 | 52 | |
| 6 | 2007 | 52 | |
| 7 | 2010 | 13 | |
| 8 | 2010 | 8 |
About Faye Reddington
Faye Reddington is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Oncology and Physiology, having authored 8 papers that have together received 524 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (2 papers), Tuberculosis Research and Epidemiology (1 paper), Adenosine and Purinergic Signaling (1 paper), Immune Response and Inflammation (1 paper), CAR-T cell therapy research (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Immunology (477 citations), Oncology (80 citations), Physiology (12 citations), Infectious Diseases (36 citations) and Epidemiology (48 citations). Faye Reddington has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gurdyal S. Besra, Xiuxu Chen, Jenny E. Gumperz, Petr A. Illarionov, Steven A. Porcelli, Jin S. Im, Mariolina Salio, Vincenzo Cerundolo, Galit Denkberg and Bharat Reddy. Their work appears in journals such as The Journal of Immunology, Bioorganic & Medicinal Chemistry, Journal of Leukocyte Biology, Bioorganic & Medicinal Chemistry Letters and The Journal of Experimental Medicine.
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.