Hugo Calderón

808 total citations · 1 hit paper
13 papers, 524 citations indexed

About

Hugo Calderón is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Hugo Calderón has authored 13 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Hugo Calderón's work include CAR-T cell therapy research (10 papers), Virus-based gene therapy research (6 papers) and RNA Interference and Gene Delivery (3 papers). Hugo Calderón is often cited by papers focused on CAR-T cell therapy research (10 papers), Virus-based gene therapy research (6 papers) and RNA Interference and Gene Delivery (3 papers). Hugo Calderón collaborates with scholars based in Spain, United Kingdom and United States. Hugo Calderón's co-authors include Sònia Guedan, Marcela V. Maus, Avery D. Posey, Ramón Alemany, A. Rajan, Jerome Custers, Naresh Chandra, Dragomira Majhen, Carlos Alberto Fajardo and Brian Champion and has published in prestigious journals such as Nature Communications, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Hugo Calderón

9 papers receiving 515 citations

Hit Papers

Engineering and Design of Chimeric Antigen Receptors 2018 2026 2020 2023 2018 100 200 300

Peers

Hugo Calderón
Anthony K. Park United States
Brook Jeang United States
Thomas Shum United States
Estela Noguera-Ortega United States
Justin C. Boucher United States
Ekaterini Kotsopoulou United Kingdom
Andrea Brennan United States
Suvi Sorsa Finland
Anthony K. Park United States
Hugo Calderón
Citations per year, relative to Hugo Calderón Hugo Calderón (= 1×) peers Anthony K. Park

Countries citing papers authored by Hugo Calderón

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Calderón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Calderón

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

All Works

13 of 13 papers shown
2.
Maltoni, Roberta, Claudio Cerchione, Sara Bravaccini, et al.. (2025). Non-small cell lung cancer and the tumor microenvironment: making headway from targeted therapies to advanced immunotherapy. Frontiers in Immunology. 16. 1515748–1515748. 6 indexed citations
3.
España, Carolina, Hugo Calderón, Lorena Pérez-Amill, et al.. (2025). A Quantitative Approach to Potency Testing for Chimeric Antigen Receptor-Encoding Lentiviral Vectors and Autologous CAR-T Cell Products, Using Flow Cytometry. Pharmaceutics. 17(3). 303–303.
4.
Oliver‐Caldés, Aina, Lorena Pérez-Amill, Hugo Calderón, et al.. (2025). TIGIT blockade in the context of BCMA-CART cell therapy does not augment efficacy in a multiple myeloma mouse model. OncoImmunology. 14(1). 2529632–2529632.
5.
Rodríguez-García, Alba, Marta Giménez-Alejandre, Joan Castellsagué, et al.. (2024). CAR affinity modulates the sensitivity of CAR-T cells to PD-1/PD-L1-mediated inhibition. Nature Communications. 15(1). 3552–3552. 23 indexed citations
7.
González‐Navarro, Europa Azucena, Marta Español‐Rego, Natalia Egri, et al.. (2022). What will (and should) be improved in CAR immunotherapy?. International review of cell and molecular biology. 370. 149–161.
8.
Guedan, Sònia, Hugo Calderón, Avery D. Posey, & Marcela V. Maus. (2018). Engineering and Design of Chimeric Antigen Receptors. Molecular Therapy — Methods & Clinical Development. 12. 145–156. 325 indexed citations breakdown →
9.
Calderón, Hugo, et al.. (2017). Development of a versatile oncolytic virus platform for local intra-tumoural expression of therapeutic transgenes. PLoS ONE. 12(5). e0177810–e0177810. 24 indexed citations
10.
Di, Ying, Hugo Calderón, Gray Kueberuwa, et al.. (2016). Oncolytic Group B Adenovirus Enadenotucirev Mediates Non-apoptotic Cell Death with Membrane Disruption and Release of Inflammatory Mediators. Molecular Therapy — Oncolytics. 4. 18–30. 43 indexed citations
11.
Rojas, Luis A., Rafael Moreno, Hugo Calderón, & Ramón Alemany. (2016). Adenovirus coxsackie adenovirus receptor-mediated binding to human erythrocytes does not preclude systemic transduction. Cancer Gene Therapy. 23(12). 411–414. 11 indexed citations
12.
Calderón, Hugo, et al.. (2014). Evaluation of Enadenotucirev (ColoAd1), an oncolytic Ad11/Ad3 chimeric group B adenovirus, in combination with chemotherapeutic agents in a murine model of ovarian cancer. Human Gene Therapy. 25. 1 indexed citations
13.
Majhen, Dragomira, Hugo Calderón, Naresh Chandra, et al.. (2014). Adenovirus-Based Vaccines for Fighting Infectious Diseases and Cancer: Progress in the Field. Human Gene Therapy. 25(4). 301–317. 82 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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