Manuela Villamar

2.4k total citations
30 papers, 1.0k citations indexed

About

Manuela Villamar is a scholar working on Molecular Biology, Sensory Systems and Genetics. According to data from OpenAlex, Manuela Villamar has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Sensory Systems and 8 papers in Genetics. Recurrent topics in Manuela Villamar's work include Hearing, Cochlea, Tinnitus, Genetics (13 papers), Connexins and lens biology (8 papers) and Mitochondrial Function and Pathology (6 papers). Manuela Villamar is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (13 papers), Connexins and lens biology (8 papers) and Mitochondrial Function and Pathology (6 papers). Manuela Villamar collaborates with scholars based in Spain, Argentina and Italy. Manuela Villamar's co-authors include Ignacio del Castillo, Felipe Moreno, Miguel A. Moreno‐Pelayo, Araceli Álvarez, Dolores Tellerı́a, Francisco Castillo, Ibis Menéndez, Luis A. Aguirre, Marta Gandía and Antonio Viñuela and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Manuela Villamar

29 papers receiving 1.0k citations

Peers

Manuela Villamar
Hashem Shahin Palestinian Territory
Dongyang Kang China
Ibis Menéndez United States
Saber Masmoudi Tunisia
Yongyi Yuan China
Dolores Tellerı́a Spain
Jan E. Dumon Belgium
Noriko Morimoto Japan
Isabelle Schatteman Belgium
Li Du China
Hashem Shahin Palestinian Territory
Manuela Villamar
Citations per year, relative to Manuela Villamar Manuela Villamar (= 1×) peers Hashem Shahin

Countries citing papers authored by Manuela Villamar

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Villamar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Villamar

This figure shows the co-authorship network connecting the top 25 collaborators of Manuela Villamar. A scholar is included among the top collaborators of Manuela Villamar 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 Manuela Villamar. Manuela Villamar 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.
Olarte, M. A. Gil, Nancy Gélvez, Manuela Villamar, et al.. (2024). Novel Cases of Non-Syndromic Hearing Impairment Caused by Pathogenic Variants in Genes Encoding Mitochondrial Aminoacyl-tRNA Synthetases. Genes. 15(7). 951–951.
2.
Villamar, Manuela, Matías Morin, Miguel A. Moreno‐Pelayo, et al.. (2023). Novel Pathogenic Variants in the Gene Encoding Stereocilin (STRC) Causing Non-Syndromic Moderate Hearing Loss in Spanish and Argentinean Subjects. Biomedicines. 11(11). 2943–2943. 2 indexed citations
3.
Morin, Matías, et al.. (2021). A Novel Truncating Mutation in HOMER2 Causes Nonsyndromic Progressive DFNA68 Hearing Loss in a Spanish Family. Genes. 12(3). 411–411. 6 indexed citations
4.
Blanco‐Kelly, Fiona, et al.. (2021). Genetics and epidemiology of aniridia: Updated guidelines for genetic study. Archivos de la Sociedad Española de Oftalmología (English Edition). 96. 4–14. 10 indexed citations
5.
Blanco‐Kelly, Fiona, et al.. (2021). Genética y epidemiología de la aniridia congénita: actualización de buenas prácticas para el diagnóstico genético. Archivos de la Sociedad Española de Oftalmología. 96. 4–14. 5 indexed citations
6.
Morin, Matías, Kevin T. Booth, P.L.M. Huygen, et al.. (2020). Insights into the pathophysiology of DFNA10 hearing loss associated with novel EYA4 variants. Scientific Reports. 10(1). 6213–6213. 66 indexed citations
7.
García-Martínez, Alberto, Marc Corral‐Juan, Ángel I Pérez-Álvarez, et al.. (2019). Perrault syndrome with neurological features in a compound heterozygote for two TWNK mutations: overlap of TWNK-related recessive disorders. Journal of Translational Medicine. 17(1). 290–290. 17 indexed citations
8.
Morin, Matías, Patrícia Locosque Ramos, Marta Galdós, et al.. (2018). Parental Mosaicism in PAX6 Causes Intra-Familial Variability: Implications for Genetic Counseling of Congenital Aniridia and Microphthalmia. Frontiers in Genetics. 9. 479–479. 21 indexed citations
9.
Gandía, Marta, et al.. (2015). Mutations in PRPS1 causing syndromic or nonsyndromic hearing impairment: intrafamilial phenotypic variation complicates genetic counseling. Pediatric Research. 78(1). 97–102. 15 indexed citations
10.
Gandía, Marta, Francisco Castillo, Francisco Javier Álvarez Rodríguez, et al.. (2013). A Novel Splice-Site Mutation in the GJB2 Gene Causing Mild Postlingual Hearing Impairment. PLoS ONE. 8(9). e73566–e73566. 17 indexed citations
11.
Kokotas, Haris, Maria Grigoriadou, Manuela Villamar, et al.. (2010). Hypothesizing an Ancient Greek Origin of the GJB2 35delG Mutation: Can Science Meet History?. Genetic Testing and Molecular Biomarkers. 14(2). 183–187. 9 indexed citations
12.
Viñuela, Antonio, Matías Morin, Manuela Villamar, et al.. (2009). Genetic and phenotypic heterogeneity in two novel cases of Waardenburg syndrome type IV. American Journal of Medical Genetics Part A. 149A(10). 2296–2302. 8 indexed citations
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15.
Rodríguez-Ballesteros, Montserrat, M. A. Gil Olarte, Luis A. Aguirre, et al.. (2006). Molecular and clinical characterisation of three Spanish families with maternally inherited non-syndromic hearing loss caused by the 1494C→T mutation in the mitochondrial 12S rRNA gene. Journal of Medical Genetics. 43(11). e54–e54. 42 indexed citations
16.
Álvarez, Araceli, Ignacio del Castillo, Manuela Villamar, et al.. (2005). High prevalence of the W24X mutation in the gene encoding connexin‐26 (GJB2) in Spanish Romani (gypsies) with autosomal recessive non‐syndromic hearing loss. American Journal of Medical Genetics Part A. 137A(3). 255–258. 65 indexed citations
17.
Gallo‐Terán, Jaime, Carmelo Morales‐Angulo, Ignacio del Castillo, et al.. (2002). Incidencia de las mutaciones a1555g en el adn mitocondrial y 35delg en el gen gjb2 (conexina 26) en familias con hipoacusia neurosensorial postlocutiva no sindrómica en cantabria. Acta Otorrinolaringológica Española. 53(8). 563–571. 10 indexed citations
18.
Castillo, Ignacio del, Manuela Villamar, Miguel A. Moreno‐Pelayo, et al.. (2002). A Deletion Involving the Connexin 30 Gene in Nonsyndromic Hearing Impairment. New England Journal of Medicine. 346(4). 243–249. 459 indexed citations
19.
Menéndez, Ibis, et al.. (2001). Mutaciones del gen de la conexina 26 (GJB2) en familias cubanas con sorderas no sindrómicas autosómicas recesivas. SHILAP Revista de lepidopterología. 6 indexed citations
20.
Torroni, Antonio, Fulvio Cruciani, Chiara Rengo, et al.. (1999). The A1555G Mutation in the 12S rRNA Gene of Human mtDNA: Recurrent Origins and Founder Events in Families Affected by Sensorineural Deafness. The American Journal of Human Genetics. 65(5). 1349–1358. 91 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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