Rosalía Caballero

3.9k total citations
42 papers, 1.2k citations indexed

About

Rosalía Caballero is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Rosalía Caballero has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 15 papers in Pulmonary and Respiratory Medicine and 15 papers in Cancer Research. Recurrent topics in Rosalía Caballero's work include Advanced Breast Cancer Therapies (15 papers), Breast Cancer Treatment Studies (14 papers) and HER2/EGFR in Cancer Research (11 papers). Rosalía Caballero is often cited by papers focused on Advanced Breast Cancer Therapies (15 papers), Breast Cancer Treatment Studies (14 papers) and HER2/EGFR in Cancer Research (11 papers). Rosalía Caballero collaborates with scholars based in Spain, United States and Canada. Rosalía Caballero's co-authors include Eva Carrasco, Miguel Martín, Philip S. Bernard, Aleix Prat, Charles M. Perou, Joel S. Parker, Scott Tyldesley, Maggie C.U. Cheang, Karen A. Gelmon and Torsten O. Nielsen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Rosalía Caballero

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosalía Caballero Spain 14 639 599 454 178 157 42 1.2k
Sergio Aguggini Italy 17 665 1.0× 709 1.2× 470 1.0× 159 0.9× 141 0.9× 34 1.3k
Giovanni Allevi Italy 17 603 0.9× 669 1.1× 437 1.0× 150 0.8× 136 0.9× 36 1.2k
Aiko Sueta Japan 18 340 0.5× 487 0.8× 455 1.0× 157 0.9× 185 1.2× 45 947
Yasuyo Ohi Japan 21 635 1.0× 474 0.8× 314 0.7× 123 0.7× 177 1.1× 60 1.2k
Hans Halfwerk Netherlands 15 525 0.8× 787 1.3× 553 1.2× 122 0.7× 158 1.0× 19 1.2k
Alessandra Bersiga Italy 16 641 1.0× 658 1.1× 458 1.0× 146 0.8× 124 0.8× 31 1.2k
Anne‐Lise Børresen‐Dale Norway 15 446 0.7× 527 0.9× 822 1.8× 210 1.2× 123 0.8× 20 1.2k
Mutsuko Yamamoto‐Ibusuki Japan 20 445 0.7× 509 0.8× 553 1.2× 158 0.9× 250 1.6× 45 1.1k
Tarek M.A. Abdel-Fatah United Kingdom 19 549 0.9× 350 0.6× 767 1.7× 109 0.6× 98 0.6× 34 1.1k
Jarle B. Arnes Norway 18 431 0.7× 418 0.7× 567 1.2× 106 0.6× 125 0.8× 28 1.0k

Countries citing papers authored by Rosalía Caballero

Since Specialization
Citations

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

Fields of papers citing papers by Rosalía Caballero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosalía Caballero

This figure shows the co-authorship network connecting the top 25 collaborators of Rosalía Caballero. A scholar is included among the top collaborators of Rosalía Caballero 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 Rosalía Caballero. Rosalía Caballero 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.
Taylor, Clive R., Carlos H. Barrios, Manuel Ruíz-Borrego, et al.. (2024). Non-basal subtype defined by FOXC1 expression as an independent predictor of capecitabine efficacy in the triple negative breast cancer GEICAM/2003-11_CIBOMA/2004-01 trial.. Journal of Clinical Oncology. 42(16_suppl). 516–516. 1 indexed citations
2.
Albanell, Joan, María Teresa Martínez, Miriam O’Connor, et al.. (2024). Use of liquid biomarker thymidine kinase activity (TKa) to predict outcome and progression in patients with metastatic breast cancer (MBC) in the GEICAM/2014-12 FLIPPER trial.. Journal of Clinical Oncology. 42(16_suppl). 1028–1028.
3.
Ocaña, Alberto, Marta Gil-Martín, Silvia Antolín, et al.. (2019). Efficacy and safety of dasatinib with trastuzumab and paclitaxel in first line HER2-positive metastatic breast cancer: results from the phase II GEICAM/2010-04 study. Breast Cancer Research and Treatment. 174(3). 693–701. 36 indexed citations
4.
6.
Templeton, Arnoud J., Álvaro Rodríguez-Lescure, A. Ruíz, et al.. (2018). Prognostic role for the derived neutrophil-to-lymphocyte ratio in early breast cancer: a GEICAM/9906 substudy. Clinical & Translational Oncology. 20(12). 1548–1556. 10 indexed citations
7.
Borrego, Manuel Ruíz, Marta Gil-Martín, Silvia Antolín, et al.. (2017). A phase II trial of dasatinib (D) in combination with trastuzumab (T) and paclitaxel (P) in the first line treatment of HER2 positive metastatic breast cancer (MBC) patients (pts): GEICAM/2010-04. Annals of Oncology. 28. v75–v75. 1 indexed citations
9.
Ethier, Josée-Lyne, Alberto Ocaña, Maribel Casas, et al.. (2016). Outcomes of single versus double hormone receptor positive breast cancer.. Journal of Clinical Oncology. 34(15_suppl). 569–569. 3 indexed citations
10.
Ocaña, Alberto, Arnoud J. Templeton, María Isabel Casas, et al.. (2016). Prognostic role for derived neutrophil-to-lymphocyte ratio in early breast cancer. Annals of Oncology. 27. vi43–vi43. 1 indexed citations
11.
Santonja, Ángela, Joan Albanell, Alfonso Sánchez‐Muñoz, et al.. (2016). Luminal androgen receptor role and pathological complete response rate to neoadjuvant chemotherapy in triple negative breast cancer. Annals of Oncology. 27. vi55–vi55.
12.
Cruz‐Merino, Luis de la, et al.. (2016). Breast Cancer Immunology and Immunotherapy. International review of cell and molecular biology. 331. 1–53. 44 indexed citations
13.
Alba, Emilio, Joan Albanell, Juan de la Haba-Rodríguez, et al.. (2014). Trastuzumab or lapatinib with standard chemotherapy for HER2-positive breast cancer: results from the GEICAM/2006-14 trial. British Journal of Cancer. 110(5). 1139–1147. 55 indexed citations
14.
Martín, Miguel, Jan C. Brase, Lourdes Calvo, et al.. (2014). Clinical validation of the EndoPredict test in node-positive, chemotherapy-treated ER+/HER2− breast cancer patients: results from the GEICAM 9906 trial. Breast Cancer Research. 16(2). R38–R38. 107 indexed citations
15.
16.
Prat, Aleix, Maggie C.U. Cheang, Miguel Martín, et al.. (2012). 10O_PR Prognostic Significance of Progesterone Receptor-Positive Tumor Cells Within Immunohistochemically-Defined Luminal A Breast Cancer. Annals of Oncology. 23. ii17–ii18. 4 indexed citations
17.
Ebbert, Mark, Roy R. L. Bastien, Kenneth M. Boucher, et al.. (2011). Characterization of uncertainty in the classification of multivariate assays: application to PAM50 centroid-based genomic predictors for breast cancer treatment plans. PubMed. 1(1). 37–37. 12 indexed citations
18.
Ropero, Santiago, Mario F. Fraga, Esteban Ballestar, et al.. (2006). A truncating mutation of HDAC2 in human cancers confers resistance to histone deacetylase inhibition. Nature Genetics. 38(5). 566–569. 206 indexed citations
19.
Boix-Chornet, Manuel, Mario F. Fraga, Ana Villar‐Garea, et al.. (2006). Release of Hypoacetylated and Trimethylated Histone H4 Is an Epigenetic Marker of Early Apoptosis. Journal of Biological Chemistry. 281(19). 13540–13547. 30 indexed citations
20.
Morato, T, et al.. (1972). [Half-life of blood cortisol in normal subjects].. PubMed. 22(4). 355–63. 1 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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