Óscar M. Pello

2.4k total citations
31 papers, 1.9k citations indexed

About

Óscar M. Pello is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Óscar M. Pello has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 8 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Óscar M. Pello's work include Immune cells in cancer (10 papers), Phagocytosis and Immune Regulation (6 papers) and Virus-based gene therapy research (4 papers). Óscar M. Pello is often cited by papers focused on Immune cells in cancer (10 papers), Phagocytosis and Immune Regulation (6 papers) and Virus-based gene therapy research (4 papers). Óscar M. Pello collaborates with scholars based in Spain, United Kingdom and United States. Óscar M. Pello's co-authors include Vicente Andrés, Ángel L. Corbí, Amaya Puig‐Kröger, Inès Pineda‐Torra, Matthew Gage, Alba de Juan, Maria De Pizzol, Paloma Sánchez‐Mateos, José Luis Rodrı́guez-Fernández and Marı́a Colmenares and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Óscar M. Pello

30 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Óscar M. Pello Spain 21 893 815 342 214 211 31 1.9k
Hiromi Takaki Japan 23 851 1.0× 657 0.8× 493 1.4× 251 1.2× 147 0.7× 46 1.8k
Sheng Yan China 19 763 0.9× 592 0.7× 224 0.7× 171 0.8× 214 1.0× 49 1.6k
Scott Wardwell United States 15 644 0.7× 1.6k 1.9× 386 1.1× 202 0.9× 130 0.6× 22 2.4k
Oliver Politz Germany 20 801 0.9× 1.0k 1.2× 456 1.3× 187 0.9× 124 0.6× 53 2.4k
Huanfa Yi China 29 1.5k 1.7× 846 1.0× 440 1.3× 201 0.9× 167 0.8× 69 2.5k
John R. Ferdinand United Kingdom 20 817 0.9× 558 0.7× 306 0.9× 158 0.7× 206 1.0× 31 1.8k
Tracey L. Papenfuss United States 20 921 1.0× 546 0.7× 330 1.0× 154 0.7× 115 0.5× 40 1.7k
Kimberly J. Payne United States 29 866 1.0× 819 1.0× 302 0.9× 220 1.0× 153 0.7× 69 2.4k
Rodolphe Guinamard France 20 1.5k 1.7× 888 1.1× 230 0.7× 166 0.8× 106 0.5× 30 2.4k
Takako Hirata Japan 25 1.2k 1.4× 831 1.0× 425 1.2× 107 0.5× 201 1.0× 50 2.7k

Countries citing papers authored by Óscar M. Pello

Since Specialization
Citations

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

Fields of papers citing papers by Óscar M. Pello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Óscar M. Pello. 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 Óscar M. Pello. The network helps show where Óscar M. Pello may publish in the future.

Co-authorship network of co-authors of Óscar M. Pello

This figure shows the co-authorship network connecting the top 25 collaborators of Óscar M. Pello. A scholar is included among the top collaborators of Óscar M. Pello 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 Óscar M. Pello. Óscar M. Pello 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.
Pello, Óscar M., et al.. (2020). Optimal large‐scale CD34+ enrichment from a leukapheresis collection using the clinimacs prodigy platform. SHILAP Revista de lepidopterología. 8(12). 2650–2653. 3 indexed citations
2.
Pello, Óscar M., et al.. (2019). Inmunoterapia adoptiva con linfocitos antivirales: métodos y resultados. Revista Clínica Española. 220(3). 197–202. 1 indexed citations
3.
Pello, Óscar M., et al.. (2019). Adoptive immunotherapy with antiviral T cells: Materials and methods. Revista Clínica Española (English Edition). 220(3). 197–202. 1 indexed citations
4.
Bécares, Natalia, Matthew Gage, Maud Voisin, et al.. (2019). Impaired LXRα Phosphorylation Attenuates Progression of Fatty Liver Disease. Cell Reports. 26(4). 984–995.e6. 48 indexed citations
5.
Gage, Matthew, Natalia Bécares, Kirsty E. Waddington, et al.. (2018). Disrupting LXRα phosphorylation promotes FoxM1 expression and modulates atherosclerosis by inducing macrophage proliferation. Proceedings of the National Academy of Sciences. 115(28). E6556–E6565. 40 indexed citations
6.
Pello, Óscar M.. (2016). Macrophages and c-Myc cross paths. OncoImmunology. 5(6). e1151991–e1151991. 24 indexed citations
7.
Pourcet, Benoît, Matthew Gage, Theresa E. León, et al.. (2016). The nuclear receptor LXR modulates interleukin-18 levels in macrophages through multiple mechanisms. Scientific Reports. 6(1). 25481–25481. 34 indexed citations
8.
Pineda‐Torra, Inès, Matthew Gage, Alba de Juan, & Óscar M. Pello. (2015). Isolation, Culture, and Polarization of Murine Bone Marrow-Derived and Peritoneal Macrophages. Methods in molecular biology. 1339. 101–109. 143 indexed citations
9.
Lavín, Begoña, et al.. (2014). Inhibition of MYC in macrophages: tumor vs inflammation-related diseases. OncoImmunology. 3(10). e956013–e956013. 5 indexed citations
10.
Pello, Óscar M. & Vicente Andrés. (2013). Role of c-MYC in tumor-associated macrophages and cancer progression. OncoImmunology. 2(2). e22984–e22984. 20 indexed citations
11.
Fuentes, Eduardo, et al.. (2012). Role of platelets as mediators that link inflammation and thrombosis in atherosclerosis. Platelets. 24(4). 255–262. 85 indexed citations
12.
Pello, Óscar M., Raphaël Chèvre, Damya Laoui, et al.. (2012). In Vivo Inhibition of c-MYC in Myeloid Cells Impairs Tumor-Associated Macrophage Maturation and Pro-Tumoral Activities. PLoS ONE. 7(9). e45399–e45399. 47 indexed citations
13.
Andrés, Vicente, Óscar M. Pello, & Carlos Silvestre-Roig. (2012). Macrophage proliferation and apoptosis in atherosclerosis. Current Opinion in Lipidology. 23(5). 429–438. 65 indexed citations
14.
Pello, Óscar M., et al.. (2011). A glimpse on the phenomenon of macrophage polarization during atherosclerosis. Immunobiology. 216(11). 1172–1176. 59 indexed citations
15.
Pello, Óscar M.. (2011). Microenviromental factors controlling macrophage polarization in atherosclerosis. Endocrinology & Metabolic Syndrome. s10. 1 indexed citations
16.
Pello, Óscar M., Maria De Pizzol, Massimiliano Mirolo, et al.. (2011). Role of c-MYC in alternative activation of human macrophages and tumor-associated macrophage biology. Blood. 119(2). 411–421. 288 indexed citations
17.
Genovese, Pietro, Elena Provasi, Zulma Magnani, et al.. (2010). Abstract 2937: Editing central memory T lymphocyte specificity for safe and effective adoptive immunotherapy of leukemia. Cancer Research. 70(8_Supplement). 2937–2937. 1 indexed citations
18.
Pello, Óscar M., Laura Martínez‐Muñoz, Antonio Serrano, et al.. (2008). Ligand stabilization of CXCR4/δ‐opioid receptor heterodimers reveals a mechanism for immune response regulation. European Journal of Immunology. 38(2). 537–549. 111 indexed citations
19.
Pello, Óscar M., Béatrice Duthey, David García‐Bernal, et al.. (2006). Opioids Trigger α5β1 Integrin-Mediated Monocyte Adhesion. The Journal of Immunology. 176(3). 1675–1685. 22 indexed citations
20.
Relloso, Miguel, Amaya Puig‐Kröger, Óscar M. Pello, et al.. (2002). DC-SIGN (CD209) Expression Is IL-4 Dependent and Is Negatively Regulated by IFN, TGF-β, and Anti-Inflammatory Agents. The Journal of Immunology. 168(6). 2634–2643. 252 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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