Circe Mesa

2.5k total citations · 1 hit paper
37 papers, 2.1k citations indexed

About

Circe Mesa is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Circe Mesa has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 18 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Circe Mesa's work include Immunotherapy and Immune Responses (16 papers), Immune cells in cancer (13 papers) and Glycosylation and Glycoproteins Research (12 papers). Circe Mesa is often cited by papers focused on Immunotherapy and Immune Responses (16 papers), Immune cells in cancer (13 papers) and Glycosylation and Glycoproteins Research (12 papers). Circe Mesa collaborates with scholars based in Cuba, United States and France. Circe Mesa's co-authors include Luis E. Fernández, Audry Fernández, Vincenzo Bronte, Luigi Dolcetti, Ilaria Marigo, Stefano Ugel, Erika Bosio, Paola Zanovello, Giuseppe Basso and Susanna Mandruzzato and has published in prestigious journals such as Journal of Clinical Oncology, Immunity and The Journal of Immunology.

In The Last Decade

Circe Mesa

37 papers receiving 2.0k citations

Hit Papers

Tumor-Induced Tolerance and Immune Suppression Depend on ... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Circe Mesa Cuba 17 1.7k 748 640 220 103 37 2.1k
Jason W. Pyrdol United States 19 1.9k 1.1× 601 0.8× 742 1.2× 300 1.4× 74 0.7× 22 2.4k
Nadège Bercovici France 27 1.8k 1.1× 612 0.8× 1.1k 1.8× 91 0.4× 111 1.1× 42 2.5k
Aurelia Rughetti Italy 27 1.0k 0.6× 954 1.3× 622 1.0× 312 1.4× 77 0.7× 81 1.9k
José A. Guevara-Patiño United States 24 1.7k 1.0× 522 0.7× 809 1.3× 114 0.5× 148 1.4× 54 2.2k
Deborah R. Surman United States 19 2.8k 1.7× 871 1.2× 1.8k 2.9× 135 0.6× 151 1.5× 26 3.4k
Patricia Corthésy Switzerland 20 1.6k 1.0× 461 0.6× 618 1.0× 175 0.8× 212 2.1× 25 2.1k
Mark DeBenedette United States 22 1.8k 1.1× 490 0.7× 680 1.1× 85 0.4× 98 1.0× 37 2.3k
Maria C. Kuppner Germany 19 818 0.5× 688 0.9× 397 0.6× 84 0.4× 93 0.9× 28 1.6k
Claude Gimmi United States 14 1.4k 0.9× 407 0.5× 450 0.7× 234 1.1× 105 1.0× 30 1.9k
Miranda L. Broz United States 10 1.6k 1.0× 517 0.7× 1.3k 2.0× 50 0.2× 114 1.1× 16 2.1k

Countries citing papers authored by Circe Mesa

Since Specialization
Citations

This map shows the geographic impact of Circe Mesa'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 Circe Mesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Circe Mesa more than expected).

Fields of papers citing papers by Circe Mesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Circe Mesa. 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 Circe Mesa. The network helps show where Circe Mesa may publish in the future.

Co-authorship network of co-authors of Circe Mesa

This figure shows the co-authorship network connecting the top 25 collaborators of Circe Mesa. A scholar is included among the top collaborators of Circe Mesa 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 Circe Mesa. Circe Mesa 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.
Early, Amy, Mary E. Reid, Kelvin H. Lee, et al.. (2023). Final results from a phase II trial of CIMAvax-EGF and nivolumab as second-line (2L) therapy after platinum-based chemotherapy in advanced non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 41(16_suppl). 9135–9135. 7 indexed citations
2.
Attanasio, Giuseppe, Laura Pellegrini, Martina Troiani, et al.. (2023). VSSP-activated macrophages mediate senescence and tumor inhibition in a preclinical model of advanced prostate cancer. Cell Communication and Signaling. 21(1). 76–76. 6 indexed citations
3.
Cabezas‐Cruz, Alejandro, et al.. (2022). Murine Mammary Carcinoma Induces Chronic Systemic Inflammation and Immunosuppression in BALB/c Mice. Journal of Breast Cancer. 25(3). 218–218. 1 indexed citations
4.
Khan, A. Nazmul H., Tiffany R. Emmons, William J. Magner, et al.. (2022). VSSP abrogates murine ovarian tumor-associated myeloid cell-driven immune suppression and induces M1 polarization in tumor-associated macrophages from ovarian cancer patients. Cancer Immunology Immunotherapy. 71(10). 2355–2369. 11 indexed citations
5.
Nogueira, Catarina V., Audry Fernández, Circe Mesa, et al.. (2021). Sticholysins, pore-forming proteins from a marine anemone can induce maturation of dendritic cells through a TLR4 dependent-pathway. Molecular Immunology. 131. 144–154. 5 indexed citations
6.
Deligne, Claire, et al.. (2020). A rationally-engineered IL-2 improves the antitumor effect of anti-CD20 therapy. OncoImmunology. 9(1). 1770565–1770565. 2 indexed citations
7.
Boligan, Kayluz Frias, et al.. (2019). Antitumor effects of the GM3(Neu5Gc) ganglioside-specific humanized antibody 14F7hT against Cmah-transfected cancer cells. Scientific Reports. 9(1). 9921–9921. 28 indexed citations
8.
Rossin, Aurélie, et al.. (2015). Antitumor and cytotoxic properties of a humanized antibody specific for the GM3(Neu5Gc) ganglioside. Immunobiology. 220(12). 1343–1350. 13 indexed citations
9.
10.
Boligan, Kayluz Frias, Circe Mesa, Luis E. Fernández, & Stephan von Gunten. (2014). Cancer intelligence acquired (CIA): tumor glycosylation and sialylation codes dismantling antitumor defense. Cellular and Molecular Life Sciences. 72(7). 1231–1248. 90 indexed citations
12.
Marigo, Ilaria, Erika Bosio, Samantha Solito, et al.. (2010). Tumor-Induced Tolerance and Immune Suppression Depend on the C/EBPβ Transcription Factor. Immunity. 32(6). 790–802. 705 indexed citations breakdown →
13.
Durand, Vanessa, Circe Mesa, Valérie Quesniaux, et al.. (2009). Role of lipopolysaccharide in the induction of type I interferon-dependent cross-priming and IL-10 production in mice by meningococcal outer membrane vesicles. Vaccine. 27(13). 1912–1922. 33 indexed citations
14.
Fernández, Audry, et al.. (2008). La variante N-glicolilada del gangliósido GM3 en la biología de los tumores: un blanco atractivo para la inmunoterapia del cáncer. Biotecnología aplicada. 34(3). 161–170. 1 indexed citations
15.
Mazorra, Zaima, Circe Mesa, Audry Fernández, & Luis E. Fernández. (2008). Immunization with a GM3 ganglioside nanoparticulated vaccine confers an effector CD8+ T cells-mediated protection against melanoma B16 challenge. Cancer Immunology Immunotherapy. 57(12). 1771–1780. 9 indexed citations
17.
Fernández, Audry, et al.. (2005). Role of tumour-associated N-glycolylated variant of GM3 ganglioside in cancer progression: effect over CD4 expression on T cells. Cancer Immunology Immunotherapy. 55(4). 443–450. 51 indexed citations
19.
Carr, Adriana, et al.. (2002). In Vivo and In Vitro Anti-Tumor Effect of 14F7 Monoclonal Antibody. PubMed. 21(6). 463–468. 33 indexed citations
20.
Carr, Adriana, Zaima Mazorra, Ana María Vázquez, et al.. (2000). A Mouse IgG 1 Monoclonal Antibody Specific for N -Glycolyl GM3 Ganglioside Recognized Breast and Melanoma Tumors. Hybridoma. 19(3). 241–247. 105 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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