Rafael Cubas

10.9k total citations · 5 hit papers
42 papers, 3.6k citations indexed

About

Rafael Cubas is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Rafael Cubas has authored 42 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 20 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Rafael Cubas's work include Immune Cell Function and Interaction (19 papers), Cancer Immunotherapy and Biomarkers (16 papers) and Immunotherapy and Immune Responses (12 papers). Rafael Cubas is often cited by papers focused on Immune Cell Function and Interaction (19 papers), Cancer Immunotherapy and Biomarkers (16 papers) and Immunotherapy and Immune Responses (12 papers). Rafael Cubas collaborates with scholars based in United States, France and Switzerland. Rafael Cubas's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Rafael Cubas

40 papers receiving 3.5k citations

Hit Papers

Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are ... 2012 2026 2016 2021 2013 2012 2020 2021 2022 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are Highly Functional and Correlate with Broadly Neutralizing HIV Antibody Responses
    2013 625 citations Michela Locci, Colin Havenar‐Daughton et al. Immunity profile →
  2. Follicular helper T cells serve as the major CD4 T cell compartment for HIV-1 infection, replication, and production
    2012 490 citations Matthieu Perreau, Rafael Cubas et al. profile →
  3. PD-L1 expression by dendritic cells is a key regulator of T-cell immunity in cancer
    2020 316 citations Jeanne Cheung, Huizhong Xiong et al. profile →
  4. Interpretation of T cell states from single-cell transcriptomics data using reference atlases
    2021 241 citations Massimo Andreatta, Jesús Corría-Osorio et al. Nature Communications profile →
  5. Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8+ T cell responses
    2022 215 citations Karl L. Banta, Xiaozheng Xu et al. Immunity profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rafael Cubas United States 24 2.4k 1.1k 850 688 382 42 3.6k
Jorge R. Almeida United States 16 2.8k 1.2× 1.8k 1.6× 746 0.9× 663 1.0× 669 1.8× 19 4.0k
Scott A. Hammond United States 34 2.1k 0.9× 1.7k 1.4× 457 0.5× 753 1.1× 465 1.2× 82 3.8k
Baogong Zhu United States 12 4.0k 1.7× 2.2k 1.9× 489 0.6× 763 1.1× 873 2.3× 15 5.5k
Nathalie Schmitt United States 25 3.3k 1.4× 467 0.4× 446 0.5× 469 0.7× 590 1.5× 42 4.1k
Megan McCausland United States 25 1.9k 0.8× 691 0.6× 538 0.6× 804 1.2× 1.3k 3.3× 34 3.3k
Jean‐François Fonteneau France 33 2.7k 1.2× 980 0.9× 387 0.5× 1.1k 1.7× 530 1.4× 75 3.7k
Anja K. Wege Germany 23 1.0k 0.4× 540 0.5× 543 0.6× 402 0.6× 309 0.8× 54 2.1k
Homero Sepulveda United States 12 2.0k 0.9× 467 0.4× 569 0.7× 596 0.9× 567 1.5× 14 2.9k
Hironori Yoshiyama Japan 30 1.6k 0.7× 1.7k 1.5× 328 0.4× 1.1k 1.6× 465 1.2× 84 3.7k
Haina Shin United States 19 3.5k 1.5× 1.6k 1.4× 314 0.4× 432 0.6× 847 2.2× 28 4.5k

Countries citing papers authored by Rafael Cubas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Rafael Cubas

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Cubas. A scholar is included among the top collaborators of Rafael Cubas 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 Rafael Cubas. Rafael Cubas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Banta, Karl L., Xiaozheng Xu, Avantika S. Chitre, et al.. (2022). Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8+ T cell responses. Immunity. 55(3). 512–526.e9. 215 indexed citations breakdown →
2.
3.
Andreatta, Massimo, Jesús Corría-Osorio, Sören Müller, et al.. (2021). Interpretation of T cell states from single-cell transcriptomics data using reference atlases. Nature Communications. 12(1). 2965–2965. 241 indexed citations breakdown →
4.
Alicke, Bruno, Klára Tótpál, Jill Schartner, et al.. (2020). Immunization associated with primary tumor growth leads to rejection of commonly used syngeneic tumors upon tumor rechallenge. Journal for ImmunoTherapy of Cancer. 8(2). e000532–e000532. 15 indexed citations
5.
Chiang, Eugene Y., Patricia E. de Almeida, Denise E. de Almeida Nagata, et al.. (2020). CD96 functions as a co‐stimulatory receptor to enhance CD8 + T cell activation and effector responses. European Journal of Immunology. 50(6). 891–902. 68 indexed citations
6.
Xiong, Huizhong, Stephanie Mittman, Марина Москаленко, et al.. (2019). Anti–PD-L1 Treatment Results in Functional Remodeling of the Macrophage Compartment. Cancer Research. 79(7). 1493–1506. 138 indexed citations
7.
Xiong, Huizhong, Stephanie Mittman, Марина Москаленко, et al.. (2019). Coexpression of Inhibitory Receptors Enriches for Activated and Functional CD8+ T Cells in Murine Syngeneic Tumor Models. Cancer Immunology Research. 7(6). 963–976. 31 indexed citations
8.
Cubas, Rafael, Марина Москаленко, Jeanne Cheung, et al.. (2018). Chemotherapy Combines Effectively with Anti–PD-L1 Treatment and Can Augment Antitumor Responses. The Journal of Immunology. 201(8). 2273–2286. 41 indexed citations
9.
Mariathasan, Sanjeev, Shannon J. Turley, Dorothee Nickles, et al.. (2017). TGF-β signalling attenuates tumour response to PD-L1 checkpoint blockade by contributing to retention of T cells in the peritumoural stroma. Annals of Oncology. 28. xi30–xi30. 8 indexed citations
10.
Martín‐Gayo, Enrique, Jacqueline Cronin, Zhengyu Ouyang, et al.. (2017). Circulating CXCR5+CXCR3+PD-1lo Tfh-like cells in HIV-1 controllers with neutralizing antibody breadth. JCI Insight. 2(2). e89574–e89574. 41 indexed citations
11.
Manuzak, Jennifer A., Tiffany Hensley‐McBain, Alexander S. Zevin, et al.. (2016). Enhancement of Microbiota in Healthy Macaques Results in Beneficial Modulation of Mucosal and Systemic Immune Function. The Journal of Immunology. 196(5). 2401–2409. 44 indexed citations
12.
Cubas, Rafael & Matthieu Perreau. (2014). The dysfunction of T follicular helper cells. Current Opinion in HIV and AIDS. 9(5). 485–491. 17 indexed citations
13.
Locci, Michela, Colin Havenar‐Daughton, Elise Landais, et al.. (2013). Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are Highly Functional and Correlate with Broadly Neutralizing HIV Antibody Responses. Immunity. 39(4). 758–769. 625 indexed citations breakdown →
14.
Cubas, Rafael, Joseph C. Mudd, Matthieu Perreau, et al.. (2013). Inadequate T follicular cell help impairs B cell immunity during HIV infection. Nature Medicine. 19(4). 494–499. 287 indexed citations
15.
Grevenynghe, Julien van, Rafael Cubas, Sandrina DaFonseca, et al.. (2012). Foxo3a: An integrator of immune dysfunction during HIV infection. Cytokine & Growth Factor Reviews. 23(4-5). 215–221. 28 indexed citations
16.
Grevenynghe, Julien van, Rafael Cubas, Alessandra Noto, et al.. (2011). Loss of memory B cells during chronic HIV infection is driven by Foxo3a- and TRAIL-mediated apoptosis. Journal of Clinical Investigation. 121(10). 3877–3888. 84 indexed citations
17.
Cubas, Rafael, Changyi Chen, & Qizhi Yao. (2010). Response to: Letter to the Editor: R. Cubas, M. Li, C. Chen and Q. Yao, Biochim Biophys Acta 1796 (2009) 309–1. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1805(2). 121–122. 1 indexed citations
18.
Cubas, Rafael, Min Li, Changyi Chen, & Qizhi Yao. (2009). Trop2: A possible therapeutic target for late stage epithelial carcinomas. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1796(2). 309–314. 148 indexed citations
19.
Cubas, Rafael, Sheng Zhang, Sunkuk Kwon, et al.. (2009). Virus-like Particle (VLP) Lymphatic Trafficking and Immune Response Generation After Immunization by Different Routes. Journal of Immunotherapy. 32(2). 118–128. 118 indexed citations
20.
Zhang, Sheng, Rafael Cubas, Min Li, Changyi Chen, & Qing Yao. (2009). Virus-like particle vaccine activates conventional B2 cells and promotes B cell differentiation to IgG2a producing plasma cells. Molecular Immunology. 46(10). 1988–2001. 40 indexed citations

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.

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