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Investigative Ophthalmology & Visual Science|June 12, 2009
Identification of an intronic single-point mutation in RP2 as the cause of semidominant X-linked retinitis pigmentosaEsther Pomares, Marina Riera, Joaquín Castro-Navarro, et al.
Scientific Reports|February 10, 2017
Whole exome sequencing using Ion Proton system enables reliable genetic diagnosis of inherited retinal dystrophiesMarina Riera, Rafael Navarro, Sheila Ruiz-Nogales, et al.
The British Journal of Ophthalmology|May 13, 2019
Expanding the retinal phenotype of RP1: from retinitis pigmentosa to a novel and singular macular dystrophyMarina Riera, Víctor Abad-Morales, Rafael Navarro, et al.
Biochimica Et Biophysica Acta|May 3, 2012
Targeted knockdown of Cerkl, a retinal dystrophy gene, causes mild affectation of the retinal ganglion cell layerAlejandro Garanto, Javier Vicente-Tejedor, Marina Riera, et al.
Stem Cell Research|February 25, 2019
Generation of two iPS cell lines (FRIMOi003-A and FRIMOi004-A) derived from Stargardt patients carrying ABCA4 compound heterozygous mutationsMarina Riera, Achchhe Patel, Anniken Burés-Jelstrup, et al.
European Journal of Human Genetics : EJHG|July 9, 2009
Comprehensive SNP-chip for retinitis pigmentosa-Leber congenital amaurosis diagnosis: new mutations and detection of mutational founder effectsEsther Pomares, Marina Riera, Jon Permanyer, et al.
Surgical Endoscopy|November 17, 2025
Learning curve for direct nasofibrolaryngoscopy in an endocrine surgery unitNorberto Cassinello Fernández, Marina Riera Cardona, Adrian Jareño Silvestre, et al.
Investigative Ophthalmology & Visual Science|April 22, 2011
High transcriptional complexity of the retinitis pigmentosa CERKL gene in human and mouseAlejandro Garanto, Marina Riera, Esther Pomares, et al.
Molecular Therapy. Methods & Clinical Development|March 24, 2016
Comparative study of human embryonic stem cells (hESC) and human induced pluripotent stem cells (hiPSC) as a treatment for retinal dystrophiesMarina Riera, Laura Fontrodona, Silvia Albert, et al.
Surgical Endoscopy|July 23, 2026
Early prediction of anastomotic leakage within 24 h after minimally invasive colorectal cancer surgery using postoperative inflammatory markers: development and temporal validation of a machine learning modelJose Martin-Arevalo, Andreia Guimaraes, Irina Palomo-Lopez, et al.
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