Claire Roddie
- Oncology top 2%
- Immunology top 2%
- Molecular Biology
- Genetics top 10%
- Biomedical Engineering
- Co-authors
- Karl S. PeggsJeffrey V. RavetchWelby Montalvo-OrtizTyler R. SimpsonHideo Yagita∥Jake Y. HenryManuel A. SepúlvedaSergio A. Quezada
- Topics
- CAR-T cell therapy research (58 papers)Acute Lymphoblastic Leukemia research (11 papers)Advancements in Semiconductor Devices and Circuit Design (10 papers)
- Cited by
- OncologyImmunologyHematology
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Claire Roddie
65 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Oncology 1.6k
- Immunology 1.0k
- Molecular Biology 336
- Genetics 220
- Biomedical Engineering 190
Countries citing papers authored by Claire Roddie
This map shows the geographic impact of Claire Roddie'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 Claire Roddie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire Roddie more than expected).
Fields of papers citing papers by Claire Roddie
This network shows the impact of papers produced by Claire Roddie. 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 Claire Roddie. The network helps show where Claire Roddie may publish in the future.
Co-authorship network of co-authors of Claire Roddie
This figure shows the co-authorship network connecting the top 25 collaborators of Claire Roddie. A scholar is included among the top collaborators of Claire Roddie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claire Roddie. Claire Roddie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 32 | |
| 11 | 0 | |
| 12 | 11 | |
| 13 | 64 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 49 | |
| 20 | Fc-dependent depletion of tumor-infiltrating regulatory T cells co-defines the efficacy of anti–CTLA-4 therapy against melanomabreakdown → | 1093 |
About Claire Roddie
Claire Roddie is a scholar working on Oncology, Immunology and Genetics, having authored 74 papers that have together received 2.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (58 papers), Acute Lymphoblastic Leukemia research (11 papers) and Advancements in Semiconductor Devices and Circuit Design (10 papers). The work is most often cited by research in Oncology (1.6k citations), Immunology (1.0k citations) and Hematology (122 citations). Claire Roddie has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Karl S. Peggs, Jeffrey V. Ravetch, Welby Montalvo-Ortiz, Tyler R. Simpson, Hideo Yagita∥, Jake Y. Henry, Manuel A. Sepúlveda, Sergio A. Quezada, Frederick Arce and Fubin Li. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.