Rafael Cubas
- Virology top 0.5%
- HIV Research and Treatment 9
- Immunology top 1%
- Immune Cell Function and Interaction 19
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 10
- Immune cells in cancer 4
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 16
- CAR-T cell therapy research 11
- Infectious Diseases top 5%
- Epidemiology top 10%
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- Forest ecology and management 4
- Co-authors
- Changyi ChenElias K. HaddadQizhi YaoMatthieu PerreauGiuseppe PantaleoShane CrottyLaurence de LevalCecilia Graziosi
- Cited by
- VirologyImmunologyOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (2 papers)Nature Medicine (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Rafael Cubas
40 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Virology 850
- Immunology 2.4k
- Oncology 1.1k
- Infectious Diseases 349
- Epidemiology 382
Countries citing papers authored by Rafael Cubas
This map shows the geographic impact of Rafael Cubas'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 Rafael Cubas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Cubas more than expected).
Fields of papers citing papers by Rafael Cubas
This network shows the impact of papers produced by Rafael Cubas. 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 Rafael Cubas. The network helps show where Rafael Cubas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rafael Cubas, 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 | Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8+ T cell responsesbreakdown → | 2022 | 215 |
| 2 | 2021 | 1 | |
| 3 | Interpretation of T cell states from single-cell transcriptomics data using reference atlasesbreakdown → | 2021 | 241 |
| 4 | 2020 | 15 | |
| 5 | 2020 | 68 | |
| 6 | 2019 | 138 | |
| 7 | 2019 | 31 | |
| 8 | 2018 | 41 | |
| 9 | 2017 | 8 | |
| 10 | 2017 | 41 | |
| 11 | 2016 | 44 | |
| 12 | 2014 | 17 | |
| 13 | Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are Highly Functional and Correlate with Broadly Neutralizing HIV Antibody Responsesbreakdown → | 2013 | 625 |
| 14 | 2013 | 287 | |
| 15 | 2012 | 28 | |
| 16 | 2011 | 84 | |
| 17 | 2010 | 1 | |
| 18 | 2009 | 148 | |
| 19 | 2009 | 118 | |
| 20 | 2009 | 40 |
About Rafael Cubas
Rafael Cubas is a scholar working on Virology, Immunology and Oncology, having authored 42 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), Cancer Immunotherapy and Biomarkers (16 papers), Immunotherapy and Immune Responses (12 papers), CAR-T cell therapy research (11 papers), T-cell and B-cell Immunology (10 papers), HIV Research and Treatment (9 papers), Forest ecology and management (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Virology (850 citations), Immunology (2.4k citations) and Oncology (1.1k citations). Rafael Cubas has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Changyi Chen, Elias K. Haddad, Qizhi Yao, Matthieu Perreau, Giuseppe Pantaleo, Shane Crotty, Elias K. Haddad, Laurence de Leval, Cecilia Graziosi and Jean-Marc Corpataux. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature 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.