Mireia Camós

2.9k total citations
57 papers, 1.8k citations indexed

About

Mireia Camós is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mireia Camós has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Hematology, 17 papers in Molecular Biology and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mireia Camós's work include Acute Myeloid Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (17 papers) and Lymphoma Diagnosis and Treatment (12 papers). Mireia Camós is often cited by papers focused on Acute Myeloid Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (17 papers) and Lymphoma Diagnosis and Treatment (12 papers). Mireia Camós collaborates with scholars based in Spain, Finland and United Kingdom. Mireia Camós's co-authors include Elı́as Campo, Antonio Martı́nez, Dolors Colomer, Armando López‐Guillermo, Jordi Esteve, Emili Montserrat, Daniel A. Arber, Elaine S. Jaffe, Stefania Pittaluga and Roger A. Warnke and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Mireia Camós

55 papers receiving 1.8k citations

Peers

Mireia Camós
Mireia Camós
Citations per year, relative to Mireia Camós Mireia Camós (= 1×) peers Anne Tierens

Countries citing papers authored by Mireia Camós

Since Specialization
Citations

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

Fields of papers citing papers by Mireia Camós

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mireia Camós

This figure shows the co-authorship network connecting the top 25 collaborators of Mireia Camós. A scholar is included among the top collaborators of Mireia Camós 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 Mireia Camós. Mireia Camós 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.
Fuentes, Patricia, Marina García-Peydró, Montserrat Torrebadell, et al.. (2025). Pre-TCR-targeted immunotherapy for T cell acute lymphoblastic leukemia. Nature Immunology. 26(10). 1712–1725.
2.
Fernández, Guerau, et al.. (2025). RNA‐sequencing: A reliable tool to unveil transcriptional landscape of paediatric B‐other acute lymphoblastic leukaemia. British Journal of Haematology. 206(5). 1355–1365.
3.
Castro‐Barquero, Sara, F. Crispi, L. Youssef, et al.. (2024). Maternal Lifestyle and Prenatal Risk Factors for Childhood Leukemia: A Review of the Existing Evidence. Fetal Diagnosis and Therapy. 51(4). 395–410. 2 indexed citations
4.
Gómez‐González, Soledad, Sara Pérez‐Jaume, Susana Rives, et al.. (2023). A miRNA signature related to stemness identifies high‐risk patients in paediatric acute myeloid leukaemia. British Journal of Haematology. 202(1). 96–110. 5 indexed citations
5.
Fernández, Guerau, et al.. (2023). Fusion InPipe, an integrative pipeline for gene fusion detection from RNA-seq data in acute pediatric leukemia. Frontiers in Molecular Biosciences. 10. 1141310–1141310. 4 indexed citations
6.
Andrades, Álvaro, María Isabel Rodríguez, Juan Carlos Álvarez-Pérez, et al.. (2020). LncRNA-mRNA Co-Expression Analysis Identifies AL133346.1/CCN2 as Biomarkers in Pediatric B-Cell Acute Lymphoblastic Leukemia. Cancers. 12(12). 3803–3803. 7 indexed citations
7.
Bodega‐Mayor, Irene, Francisca Molina‐Jiménez, Martín González‐Andrade, et al.. (2020). TYK2 Variants in B-Acute Lymphoblastic Leukaemia. Genes. 11(12). 1434–1434. 7 indexed citations
8.
Torrebadell, Montserrat, Marina Díaz‐Beyá, Susana G. Kalko, et al.. (2018). A 4-gene expression prognostic signature might guide post-remission therapy in patients with intermediate-risk cytogenetic acute myeloid leukemia. Leukemia & lymphoma. 59(10). 2394–2404. 16 indexed citations
9.
Robles‐Valero, Javier, L. Francisco Lorenzo‐Martín, Mauricio Menacho-Márquez, et al.. (2017). A Paradoxical Tumor-Suppressor Role for the Rac1 Exchange Factor Vav1 in T Cell Acute Lymphoblastic Leukemia. Cancer Cell. 32(5). 608–623.e9. 31 indexed citations
10.
Berrueco, Rubén, Andrés Antón, Susana Rives, et al.. (2013). Multiplex real-time PCR for prompt diagnosis of an outbreak of human parainfluenza 3 virus in children with acute leukemia. Infection. 41(6). 1171–1175. 8 indexed citations
11.
Barragán, Eva, Pau Montesinos, Mireia Camós, et al.. (2011). Prognostic value of FLT3 mutations in patients with acute promyelocytic leukemia treated with all-trans retinoic acid and anthracycline monochemotherapy. Haematologica. 96(10). 1470–1477. 39 indexed citations
12.
Maffioli, Margherita, Mireia Camós, Anna Gayà, et al.. (2010). Correlation between genetic polymorphisms of the hOCT1 and MDR1 genes and the response to imatinib in patients newly diagnosed with chronic-phase chronic myeloid leukemia. Leukemia Research. 35(8). 1014–1019. 48 indexed citations
13.
Giné, Eva, Antonio Martı́nez, Armando López‐Guillermo, et al.. (2010). Expanded and highly active proliferation centers identify a histological subtype of chronic lymphocytic leukemia ("accelerated" chronic lymphocytic leukemia) with aggressive clinical behavior. Haematologica. 95(9). 1526–1533. 127 indexed citations
14.
Armengol, Gemma, Yolanda Álvarez, Pilar Bastida, et al.. (2009). Genetic changes including gene copy number alterations and their relation to prognosis in childhood acute myeloid leukemia. Leukemia & lymphoma. 51(1). 114–124. 11 indexed citations
15.
Feldman, Andrew L., Daniel A. Arber, Stefania Pittaluga, et al.. (2008). Clonally related follicular lymphomas and histiocytic/dendritic cell sarcomas: evidence for transdifferentiation of the follicular lymphoma clone. Blood. 111(12). 5433–5439. 221 indexed citations
16.
Mercadal, Santiago, Javier Briones, Blanca Xicoy, et al.. (2008). Intensive chemotherapy (high-dose CHOP/ESHAP regimen) followed by autologous stem-cell transplantation in previously untreated patients with peripheral T-cell lymphoma. Annals of Oncology. 19(5). 958–963. 151 indexed citations
18.
Cervantes, Francisco, Juan Carlos Hernández‐Boluda, J Odriozola, et al.. (2003). Imatinib mesylate (STI571) treatment in patients with chronic‐phase chronic myelogenous leukaemia previously submitted to autologous stem cell transplantation. British Journal of Haematology. 120(3). 500–504. 8 indexed citations
19.
Camós, Mireia, Eduardo Arellano‐Rodrigo, Ana Muntañola, et al.. (2003). Idiopathic Myelofibrosis Associated with Classic Polyarteritis Nodosa. Leukemia & lymphoma. 44(3). 539–541. 8 indexed citations
20.
Montoto, Silvia, Armando López‐Guillermo, Ana Ferrer, et al.. (2002). Survival after progression in patients with follicular lymphoma: analysis of prognostic factors. Annals of Oncology. 13(4). 523–530. 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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