Gloría Ribas

7.6k total citations
83 papers, 2.5k citations indexed

About

Gloría Ribas is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Gloría Ribas has authored 83 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 24 papers in Cancer Research and 19 papers in Cell Biology. Recurrent topics in Gloría Ribas's work include melanin and skin pigmentation (18 papers), Skin Protection and Aging (12 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Gloría Ribas is often cited by papers focused on melanin and skin pigmentation (18 papers), Skin Protection and Aging (12 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Gloría Ribas collaborates with scholars based in Spain, United Kingdom and United States. Gloría Ribas's co-authors include Ricard Marcos, Maider Ibarrola‐Villava, Javier Benı́tez, Aňa Lluch, María Peña-Chilet, Lara P. Fernández, Pablo Lázaro, Roger L. Milne, Roberto Barale and Giada Frenzilli and has published in prestigious journals such as Nature, Nature Genetics and The Journal of Immunology.

In The Last Decade

Gloría Ribas

82 papers receiving 2.4k citations

Peers

Gloría Ribas
Sébastien Gingras United States
Scott A. Jelinsky United States
Emanuele de Rinaldis United Kingdom
Sébastien Gingras United States
Gloría Ribas
Citations per year, relative to Gloría Ribas Gloría Ribas (= 1×) peers Sébastien Gingras

Countries citing papers authored by Gloría Ribas

Since Specialization
Citations

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

Fields of papers citing papers by Gloría Ribas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gloría Ribas

This figure shows the co-authorship network connecting the top 25 collaborators of Gloría Ribas. A scholar is included among the top collaborators of Gloría Ribas 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 Gloría Ribas. Gloría Ribas 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.
Oltra, Sara S., Maider Ibarrola‐Villava, Elena Jiménez-Martí, et al.. (2022). RUNAT-BI: A Ruthenium(III) Complex as a Selective Anti-Tumor Drug Candidate against Highly Aggressive Cancer Cell Lines. Cancers. 15(1). 69–69. 3 indexed citations
2.
Oltra, Sara S., Juan Miguel Cejalvo, Eduardo Tormo, et al.. (2020). HDAC5 Inhibitors as a Potential Treatment in Breast Cancer Affecting Very Young Women. Cancers. 12(2). 412–412. 14 indexed citations
3.
Martínez‐Ciarpaglini, Carolina, Sara S. Oltra, Susana Roselló, et al.. (2018). Low miR200c expression in tumor budding of invasive front predicts worse survival in patients with localized colon cancer and is related to PD-L1 overexpression. Modern Pathology. 32(2). 306–313. 33 indexed citations
4.
Hernando, Bárbara, María Peña-Chilet, Maider Ibarrola‐Villava, et al.. (2017). Genetic 3′UTR variation is associated with human pigmentation characteristics and sensitivity to sunlight. Experimental Dermatology. 26(10). 896–903. 10 indexed citations
5.
Gambardella, Valentina, Josefa Castillo, Francisco Gimeno-Valiente, et al.. (2017). Gene expression changes responsible for lapatinib acquired resistance in HER2 positive gastric cancer cell lines: a microarray analysis. Annals of Oncology. 28. vii16–vii16. 1 indexed citations
6.
Hernando, Bárbara, Maider Ibarrola‐Villava, Lara P. Fernández, et al.. (2016). Sex-specific genetic effects associated with pigmentation, sensitivity to sunlight, and melanoma in a population of Spanish origin. Biology of Sex Differences. 7(1). 17–17. 34 indexed citations
7.
Cappetta, Mónica, et al.. (2016). Melanoma, ancestry and MC1R variations in the uruguayan admixed population. 27(1). 7–18. 1 indexed citations
8.
Murillo-Ortíz, Blanca, et al.. (2016). Niveles de 25-hidroxivitamina D en pacientes con melanoma y factores asociados con su insuficiencia. Actas Dermo-Sifiliográficas. 107(9). 758–764. 4 indexed citations
9.
Cejalvo, Juan Miguel, José Alejandro Pérez Fidalgo, Gloría Ribas, et al.. (2016). Clinical implications of routine genomic mutation sequencing in PIK3CA/AKT1 and KRAS/NRAS/BRAF in metastatic breast cancer. Breast Cancer Research and Treatment. 160(1). 69–77. 13 indexed citations
10.
Cejalvo, Juan Miguel, José Alejandro Pérez Fidalgo, Begoña Bermejo, et al.. (2015). Incidence of oncogenes in PI3K/AKT and MAPK signaling pathways in breast cancer. Annals of Oncology. 26. iii10–iii10. 1 indexed citations
11.
Ribas, Gloría, et al.. (2015). Differential microRNA expression in breast cancer patients aged 35 years or younger. Annals of Oncology. 26. iii10–iii10. 1 indexed citations
12.
Peña-Chilet, María, Maider Ibarrola‐Villava, Conrado Martínez‐Cadenas, et al.. (2013). Genetic variants in PARP1 (rs3219090) and IRF4(rs12203592) genes associated with melanoma susceptibility in a Spanish population. BMC Cancer. 13(1). 160–160. 30 indexed citations
13.
Ibarrola‐Villava, Maider, Mickaël Guedj, Lara P. Fernández, et al.. (2012). MC1R, SLC45A2 and TYR genetic variants involved in melanoma susceptibility in Southern European populations: Results from a Meta-analysis. European Journal of Cancer. 48(14). 2183–2191. 37 indexed citations
14.
Ibarrola‐Villava, Maider, Lara P. Fernández, Guillermo Pita, et al.. (2010). Genetic analysis of three important genes in pigmentation and melanoma susceptibility: CDKN2A, MC1R and HERC2/OCA2. Experimental Dermatology. 19(9). 836–844. 25 indexed citations
15.
Piedade, J., et al.. (2009). HLA‐G 3′‐UTR SNP and 14‐bp deletion polymorphisms in Portuguese and Guinea‐Bissau populations. International Journal of Immunogenetics. 36(6). 361–366. 25 indexed citations
16.
Pérez‐Oliva, Ana B., Carlos de Torre‐Minguela, Cecilia Herráiz, et al.. (2009). Identification and functional analysis of novel variants of the human melanocortin 1 receptor found in melanoma patients. Human Mutation. 30(5). 811–822. 45 indexed citations
17.
Bravo, Jerónimo, et al.. (2007). MC1R: three novel variants identified in a malignant melanoma association study in the Spanish population. Carcinogenesis. 28(8). 1659–1664. 51 indexed citations
18.
Ching, Yung‐Hao, Tushar K. Ghosh, Elizabeth A. Packham, et al.. (2005). Mutation in myosin heavy chain 6 causes atrial septal defect. Nature Genetics. 37(4). 423–428. 195 indexed citations
19.
Cuadros, Marta, Gloría Ribas, María Victoria Fernández, et al.. (2005). Allelic expression and quantitative RT-PCR study of TAp73 and ΔNp73 in non-Hodgkin's lymphomas. Leukemia Research. 30(2). 170–177. 9 indexed citations
20.
Ackerman, Hans, Gloría Ribas, Muminatou Jallow, et al.. (2003). Complex haplotypic structure of the central MHC region flanking TNF in a West African population. Genes and Immunity. 4(7). 476–486. 21 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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