María Gato

2.5k total citations
23 papers, 1.3k citations indexed

About

María Gato is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, María Gato has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 18 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in María Gato's work include Cancer Immunotherapy and Biomarkers (13 papers), Immunotherapy and Immune Responses (11 papers) and CAR-T cell therapy research (9 papers). María Gato is often cited by papers focused on Cancer Immunotherapy and Biomarkers (13 papers), Immunotherapy and Immune Responses (11 papers) and CAR-T cell therapy research (9 papers). María Gato collaborates with scholars based in Spain, United Kingdom and Belgium. María Gato's co-authors include David Escors, Grazyna Kochan, Hugo Arasanz, Miren Zuazo, María Ibáñez-Vea, Ruth Vera, María Jesús García-Granda, Karine Breckpot, G. Fernández-Hinojal and Ana Bocanegra and has published in prestigious journals such as Biomaterials, Cancer Research and Annals of Oncology.

In The Last Decade

María Gato

22 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Gato Spain 16 848 766 306 147 116 23 1.3k
Crescenzo D’Alterio Italy 19 849 1.0× 533 0.7× 371 1.2× 172 1.2× 186 1.6× 36 1.3k
Aleksandra J. Ozga United States 11 760 0.9× 856 1.1× 314 1.0× 135 0.9× 110 0.9× 11 1.3k
Miren Zuazo Spain 17 1.0k 1.2× 760 1.0× 296 1.0× 195 1.3× 123 1.1× 27 1.4k
Liangrong Shi China 17 663 0.8× 544 0.7× 255 0.8× 184 1.3× 180 1.6× 33 1.2k
Viktor Fleming Germany 9 938 1.1× 1.3k 1.7× 459 1.5× 163 1.1× 179 1.5× 10 1.8k
Iván Martínez‐Forero Spain 20 825 1.0× 909 1.2× 297 1.0× 104 0.7× 112 1.0× 29 1.4k
Aixa Soyano United States 9 713 0.8× 482 0.6× 234 0.8× 229 1.6× 110 0.9× 30 1.1k
Tao Shi China 16 548 0.6× 490 0.6× 419 1.4× 170 1.2× 140 1.2× 39 1.2k
Xinming Su United States 15 613 0.7× 615 0.8× 424 1.4× 97 0.7× 153 1.3× 38 1.2k
Xian-Yang Li China 21 565 0.7× 695 0.9× 358 1.2× 60 0.4× 100 0.9× 37 1.3k

Countries citing papers authored by María Gato

Since Specialization
Citations

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

Fields of papers citing papers by María Gato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Gato

This figure shows the co-authorship network connecting the top 25 collaborators of María Gato. A scholar is included among the top collaborators of María Gato 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 María Gato. María Gato 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.
Teijeira, Álvaro, Saray Garasa, Carlos Luri‐Rey, et al.. (2022). Depletion of Conventional Type-1 Dendritic Cells in Established Tumors Suppresses Immunotherapy Efficacy. Cancer Research. 82(23). 4373–4385. 22 indexed citations
2.
Arasanz, Hugo, Carlos Hernández, Ana Bocanegra, et al.. (2020). Profound Reprogramming towards Stemness in Pancreatic Cancer Cells as Adaptation to AKT Inhibition. Cancers. 12(8). 2181–2181. 7 indexed citations
3.
Arasanz, Hugo, Miren Zuazo, Ana Bocanegra, et al.. (2020). Early Detection of Hyperprogressive Disease in Non-Small Cell Lung Cancer by Monitoring of Systemic T Cell Dynamics. Cancers. 12(2). 344–344. 58 indexed citations
4.
Melero, Ignacio, María Gato, Tala Shekarian, et al.. (2020). Repurposing infectious disease vaccines for intratumoral immunotherapy. Journal for ImmunoTherapy of Cancer. 8(1). e000443–e000443. 22 indexed citations
5.
Zuazo, Miren, Hugo Arasanz, G. Fernández-Hinojal, et al.. (2019). Functional systemic CD 4 immunity is required for clinical responses to PD ‐L1/ PD ‐1 blockade therapy. EMBO Molecular Medicine. 11(7). e10293–e10293. 143 indexed citations
6.
Teijeira, Álvaro, Saray Garasa, Iñaki Etxeberría, et al.. (2019). Metabolic Consequences of T-cell Costimulation in Anticancer Immunity. Cancer Immunology Research. 7(10). 1564–1569. 53 indexed citations
7.
Zuazo, Miren, Hugo Arasanz, Ana Bocanegra, et al.. (2019). Functional systemic CD4 immunity is required for clinical responses to PD-L1/PD-1 blockade therapy. Annals of Oncology. 30. v504–v504. 21 indexed citations
9.
Escors, David, María Gato, Miren Zuazo, et al.. (2018). The intracellular signalosome of PD-L1 in cancer cells. Signal Transduction and Targeted Therapy. 3(1). 26–26. 215 indexed citations
10.
Bocanegra, Ana, Ane Ruiz‐de‐Angulo, Aintzane Zabaleta, et al.. (2018). Effective cancer immunotherapy in mice by polyIC-imiquimod complexes and engineered magnetic nanoparticles. Biomaterials. 170. 95–115. 86 indexed citations
11.
Ibáñez-Vea, María, Honggang Huang, Xabier Martínez de Morentin, et al.. (2018). Characterization of Macrophage Endogenous S-Nitrosoproteome Using a Cysteine-Specific Phosphonate Adaptable Tag in Combination with TiO2 Chromatography. Journal of Proteome Research. 17(3). 1172–1182. 24 indexed citations
12.
Gato, María, Miren Zuazo, Hugo Arasanz, et al.. (2017). PDL1 Signals through Conserved Sequence Motifs to Overcome Interferon-Mediated Cytotoxicity. Cell Reports. 20(8). 1818–1829. 223 indexed citations
13.
Zuazo, Miren, María Gato, María Ibáñez-Vea, et al.. (2017). Molecular mechanisms of programmed cell death-1 dependent T cell suppression: relevance for immunotherapy. Annals of Translational Medicine. 5(19). 385–385. 55 indexed citations
14.
Ibáñez-Vea, María, Miren Zuazo, María Gato, et al.. (2017). Myeloid-Derived Suppressor Cells in the Tumor Microenvironment: Current Knowledge and Future Perspectives. Archivum Immunologiae et Therapiae Experimentalis. 66(2). 113–123. 35 indexed citations
15.
Arasanz, Hugo, María José Lecumberri, Ángela Fernández de Lascoiti, et al.. (2017). Immunotherapy in Malignant Melanoma: Recent Approaches and New Perspectives. PubMed. 4(1). 39–48. 6 indexed citations
16.
Gato, María, Hugo Arasanz, Idoia Blanco‐Luquin, et al.. (2016). Novel Immunotherapies for the Treatment of Melanoma. Immunotherapy. 8(5). 613–632. 5 indexed citations
17.
Gato, María, et al.. (2015). Dendritic cells in cancer immunotherapy. Anales del Sistema Sanitario de Navarra. 38(2). 279–87. 1 indexed citations
18.
Gato, María, Thérèse Liechtenstein, Idoia Blanco‐Luquin, et al.. (2015). Inmunoterapia genética con células dendríticas para el tratamiento del cáncer. Anales del Sistema Sanitario de Navarra. 38(2). 279–287. 2 indexed citations
19.
Gato, María, Xabier Martínez de Morentin, Idoia Blanco‐Luquin, et al.. (2015). A core of kinase-regulated interactomes defines the neoplastic MDSC lineage. Oncotarget. 6(29). 27160–27175. 46 indexed citations
20.
Liechtenstein, Thérèse, María Gato, Fabio Caliendo, et al.. (2014). A highly efficient tumor-infiltrating MDSC differentiation system for discovery of anti-neoplastic targets, which circumvents the need for tumor establishment in mice. Oncotarget. 5(17). 7843–7857. 52 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026