Diego Salas‐Benito

1.1k total citations · 1 hit paper
25 papers, 661 citations indexed

About

Diego Salas‐Benito is a scholar working on Oncology, Genetics and Immunology. According to data from OpenAlex, Diego Salas‐Benito has authored 25 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 7 papers in Genetics and 5 papers in Immunology. Recurrent topics in Diego Salas‐Benito's work include CAR-T cell therapy research (11 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immunotherapy and Immune Responses (3 papers). Diego Salas‐Benito is often cited by papers focused on CAR-T cell therapy research (11 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immunotherapy and Immune Responses (3 papers). Diego Salas‐Benito collaborates with scholars based in Spain, United States and Chile. Diego Salas‐Benito's co-authors include María E. Rodríguez-Ruiz, José Luis Perez‐Gracia, José M. López-Picazo, Mariano Ponz‐Sarvisé, Ignacio Melero, Iván Martínez‐Forero, Miguel F. Sanmamed, Eduardo Castañón, José Soto and José M. Yáñez and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Diego Salas‐Benito

21 papers receiving 656 citations

Hit Papers

Paradigms on Immunotherapy Combinations with Chemotherapy 2021 2026 2022 2024 2021 50 100 150 200 250

Peers

Diego Salas‐Benito
Jenny Antonello United Kingdom
Il‐Kyu Kim South Korea
Weifeng Liu United States
Jingly F. Weier United States
Huqun Japan
Anu Sharma United States
Venkata J. Thodima United States
Jenny Antonello United Kingdom
Diego Salas‐Benito
Citations per year, relative to Diego Salas‐Benito Diego Salas‐Benito (= 1×) peers Jenny Antonello

Countries citing papers authored by Diego Salas‐Benito

Since Specialization
Citations

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

Fields of papers citing papers by Diego Salas‐Benito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Salas‐Benito. 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 Diego Salas‐Benito. The network helps show where Diego Salas‐Benito may publish in the future.

Co-authorship network of co-authors of Diego Salas‐Benito

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Salas‐Benito. A scholar is included among the top collaborators of Diego Salas‐Benito 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 Diego Salas‐Benito. Diego Salas‐Benito 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.
Bouffard, Amanda A., Mark B. Leick, Nicholas J. Haradhvala, et al.. (2025). On-target off-tumor toxicity of claudin18.2-directed CAR-T cells in preclinical models. Nature Communications. 16(1). 9650–9650.
2.
Park, Sangwoo, Christine Ho, Eli P. Darnell, et al.. (2025). Tuning CAR-T cells by targeting cancer-associated glycan in pancreatic cancer. Nature Communications. 16(1). 11246–11246.
3.
Salas‐Benito, Diego, Sangwoo Park, Christine Ho, et al.. (2025). Tandem CAR-T cells targeting mesothelin and MUC16 overcome tumor heterogeneity by targeting one antigen at a time. Journal for ImmunoTherapy of Cancer. 13(9). e012822–e012822.
4.
Korell, Felix, Michael Olson, Diego Salas‐Benito, et al.. (2024). Comparative analysis of Bcl-2 family protein overexpression in CAR T cells alone and in combination with BH3 mimetics. Science Translational Medicine. 16(750). eadk7640–eadk7640. 14 indexed citations
5.
Kembuan, Gabriele, Michael C. Kann, William M. Lin, et al.. (2023). Genetic retargeting of E3 ligases to enhance CAR T cell therapy. Cell chemical biology. 31(2). 338–348.e5. 7 indexed citations
6.
Korell, Felix, Michael Olson, Diego Salas‐Benito, et al.. (2023). Abstract 4098: Chimeric antigen receptor (CAR) T cells overexpressing Bcl-xL increase proliferation and antitumor activity alone and in combination with BH3 mimetics. Cancer Research. 83(7_Supplement). 4098–4098. 3 indexed citations
7.
Wehrli, Marc, et al.. (2023). “Hurdles race for CAR T‐cell therapy in digestive tract cancer”. Immunological Reviews. 320(1). 100–119. 10 indexed citations
8.
Sánchez‐Lorenzo, Luisa, et al.. (2022). The BRCA Gene in Epithelial Ovarian Cancer. Cancers. 14(5). 1235–1235. 12 indexed citations
9.
Salas‐Benito, Diego, José Luis Perez‐Gracia, Mariano Ponz‐Sarvisé, et al.. (2021). Paradigms on Immunotherapy Combinations with Chemotherapy. Cancer Discovery. 11(6). 1353–1367. 278 indexed citations breakdown →
10.
Salas‐Benito, Diego, Ibón Tamayo, Uxua Mancheño, et al.. (2021). The mutational load and a T-cell inflamed tumour phenotype identify ovarian cancer patients rendering tumour-reactive T cells from PD-1+ tumour-infiltrating lymphocytes. British Journal of Cancer. 124(6). 1138–1149. 15 indexed citations
11.
Lesimple, Thierry, Maria J. de Miguel, Mariano Ponz‐Sarvisé, et al.. (2021). Abstract P033: CC-95775, a reversible, oral bromodomain and extra-terminal (BET) inhibitor in patients with advanced solid tumors (STs): Results of a phase 1 study. Molecular Cancer Therapeutics. 20(12_Supplement). P033–P033. 2 indexed citations
12.
Salas‐Benito, Diego, et al.. (2020). Inflammation and immunity in ovarian cancer. European Journal of Cancer Supplements. 15. 56–66. 18 indexed citations
13.
Yáñez, José M., Grazyella Yoshida, Agustin Barría, et al.. (2020). High-Throughput Single Nucleotide Polymorphism (SNP) Discovery and Validation Through Whole-Genome Resequencing in Nile Tilapia (Oreochromis niloticus). Marine Biotechnology. 22(1). 109–117. 26 indexed citations
14.
Manzour, Nabil, Enrique Chacón, Nerea Martín‐Calvo, et al.. (2020). 258 Design and validation of a recurrence risk predicting score in early stage cervical cancer after radical hysterectomy. A8.1–A8. 2 indexed citations
15.
Yoshida, Grazyella, Jean P. Lhorente, Katharina Correa, et al.. (2019). Genome-Wide Association Study and Cost-Efficient Genomic Predictions for Growth and Fillet Yield in Nile Tilapia ( Oreochromis niloticus ). G3 Genes Genomes Genetics. 9(8). 2597–2607. 76 indexed citations
16.
López, María E., María I. Cádiz, Grazyella Yoshida, et al.. (2019). Fine Mapping Using Whole-Genome Sequencing Confirms Anti-Müllerian Hormone as a Major Gene for Sex Determination in Farmed Nile Tilapia ( Oreochromis niloticus L.). G3 Genes Genomes Genetics. 9(10). 3213–3223. 34 indexed citations
17.
Romano, P. Martin, David Cano, João Subtil, et al.. (2019). Neoadjuvant therapy for locally advanced gastric cancer patients. A population pharmacodynamic modeling. PLoS ONE. 14(5). e0215970–e0215970. 3 indexed citations
18.
Salas‐Benito, Diego, Teresa Lozano, Noëlia Casares, et al.. (2017). Expansion of Tumor-Infiltrating CD8+ T cells Expressing PD-1 Improves the Efficacy of Adoptive T-cell Therapy. Cancer Research. 77(13). 3672–3684. 107 indexed citations
19.
Baraibar, Iosune, Diego Salas‐Benito, Marta Román, et al.. (2017). Pazopanib-induced asymptomatic radiological acute pancreatitis: A case report. Molecular and Clinical Oncology. 6(5). 651–654. 2 indexed citations
20.
Alegre, Estíbaliz, Juan P. Fusco, Patricia Restituto, et al.. (2016). Total and mutated EGFR quantification in cell-free DNA from non-small cell lung cancer patients detects tumor heterogeneity and presents prognostic value. Tumor Biology. 37(10). 13687–13694. 34 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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