Rita Cabrita
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
-
- Immunotherapy and Immune Responses 2
- T-cell and Retrovirus Studies 1
- Oncology 4
- Cancer Immunotherapy and Biomarkers 3
- Cutaneous Melanoma Detection and Management 1
- CAR-T cell therapy research 1
- Co-authors
- Ana Suellen Barroso Carneiro (3 shared papers)Goran B Jönsson (3 shared papers)Shamik Mitra (3 shared papers)Martin Lauss (3 shared papers)Karolin Isaksson (3 shared papers)Christian Ingvar (3 shared papers)Hakan Lars Olsson (2 shared papers)Henrik Ekedahl (1 shared paper)
- Journals
- Cancers (1 paper)Cell Reports (1 paper)Molecular Oncology (1 paper)Nature (1 paper)Oncogene (1 paper)
- Partner nations
- SwedenUnited StatesPortugal
In The Last Decade
Rita Cabrita
8 papers receiving 1.9k citations
Rita Cabrita's Hit Papers
Peers
Comparison fields: 5 of 83
- Oncology 1.0k
- Immunology 826
- Cancer Research 161
- Pulmonary and Respiratory Medicine 209
- Molecular Biology 468
Countries citing papers authored by Rita Cabrita
This map shows the geographic impact of Rita Cabrita'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 Rita Cabrita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Cabrita more than expected).
Fields of papers citing papers by Rita Cabrita
This network shows the impact of papers produced by Rita Cabrita. 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 Rita Cabrita. The network helps show where Rita Cabrita may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Cabrita, 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 | Tertiary lymphoid structures improve immunotherapy and survival in melanoma Hit paper breakdown → | 2020 | 1726 |
| 2 | 2019 | 64 | |
| 3 | 2020 | 50 | |
| 4 | 2020 | 34 | |
| 5 | 2019 | 18 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 2 |
About Rita Cabrita
Rita Cabrita is a scholar working on Immunology, Oncology, Rehabilitation, Safety, Risk, Reliability and Quality and Molecular Biology, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Health Education and Validation (1 paper), T-cell and Retrovirus Studies (1 paper), CAR-T cell therapy research (1 paper), RNA regulation and disease (1 paper) and Management and Optimization Techniques (1 paper). The work is most often cited by research in Oncology (1.0k citations), Immunology (826 citations), Cancer Research (161 citations), Pulmonary and Respiratory Medicine (209 citations) and Molecular Biology (468 citations). Rita Cabrita has collaborated with scholars based in Sweden, United States and Portugal. Frequent co-authors include Ana Suellen Barroso Carneiro, Goran B Jönsson, Shamik Mitra, Martin Lauss, Karolin Isaksson, Christian Ingvar, Hakan Lars Olsson, Henrik Ekedahl, Adriana M. Sanna and Kristina Lövgren. Their work appears in journals such as Cancers, Cell Reports, Molecular Oncology, Nature and Oncogene.
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.