Patricia Cuenca

642 total citations
22 papers, 437 citations indexed

About

Patricia Cuenca is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Plant Science. According to data from OpenAlex, Patricia Cuenca has authored 22 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Patricia Cuenca's work include Genetic Neurodegenerative Diseases (8 papers), Mitochondrial Function and Pathology (4 papers) and Genetically Modified Organisms Research (4 papers). Patricia Cuenca is often cited by papers focused on Genetic Neurodegenerative Diseases (8 papers), Mitochondrial Function and Pathology (4 papers) and Genetically Modified Organisms Research (4 papers). Patricia Cuenca collaborates with scholars based in Costa Rica, United States and United Kingdom. Patricia Cuenca's co-authors include Vanessa Ramí­rez, Fernando Morales, Darren G. Monckton, Warner Alpízar‐Alpízar, Clas Une, Gerardo Del Valle, Rosa A. Sierra, Tetsuo Ashizawa, Rafaela Sierra and Richard H. Wilson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Patricia Cuenca

21 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patricia Cuenca Costa Rica 11 246 206 83 66 57 22 437
Hai‐Lin Dong China 11 321 1.3× 137 0.7× 28 0.3× 39 0.6× 220 3.9× 23 553
Ting Peng China 13 173 0.7× 61 0.3× 25 0.3× 14 0.2× 41 0.7× 29 335
Meirong Bai China 12 186 0.8× 30 0.1× 48 0.6× 11 0.2× 56 1.0× 31 375
Robert D. Guber United States 6 189 0.8× 46 0.2× 29 0.3× 35 0.5× 22 0.4× 8 306
Minyoung Kong South Korea 9 125 0.5× 28 0.1× 34 0.4× 40 0.6× 21 0.4× 13 326
Jaekyung C. Song United States 12 309 1.3× 41 0.2× 92 1.1× 6 0.1× 26 0.5× 23 494
Yuan Jiang China 12 157 0.6× 14 0.1× 26 0.3× 41 0.6× 41 0.7× 18 322
Qingshi Zhao United States 10 372 1.5× 34 0.2× 31 0.4× 7 0.1× 31 0.5× 37 508
Liehua Liu China 15 275 1.1× 29 0.1× 116 1.4× 7 0.1× 144 2.5× 40 591
Patrícia Koehler‐Santos Brazil 12 127 0.5× 29 0.1× 28 0.3× 14 0.2× 83 1.5× 20 385

Countries citing papers authored by Patricia Cuenca

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Cuenca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Cuenca

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Cuenca. A scholar is included among the top collaborators of Patricia Cuenca 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 Patricia Cuenca. Patricia Cuenca 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.
2.
Sequeira‐Cordero, Andrey, et al.. (2022). Intermediate and expanded FMR1 alleles in an autistic Costa Rican population. SHILAP Revista de lepidopterología. 23(2). 1 indexed citations
3.
Zhang, Baili, Carolina Santamaría‐Ulloa, Patricia Cuenca, et al.. (2019). Analysis of mutational dynamics at the DMPK (CTG)n locus identifies saliva as a suitable DNA sample source for genetic analysis in myotonic dystrophy type 1. PLoS ONE. 14(5). e0216407–e0216407. 5 indexed citations
4.
5.
Navarro, Arcadi, et al.. (2016). Candidate gene study reveals DRD1 and DRD2 as putative interacting risk factors for youth depression. Psychiatry Research. 244. 71–77. 7 indexed citations
6.
Fiore, Michele, Patricia Cuenca, Gerardo Del Valle, et al.. (2015). Identification and Functional Characterization ofCLCN1Mutations Found in Nondystrophic Myotonia Patients. Human Mutation. 37(1). 74–83. 20 indexed citations
7.
Morales, Fernando, et al.. (2014). Parental age effects, but no evidence for an intrauterine effect in the transmission of myotonic dystrophy type 1. European Journal of Human Genetics. 23(5). 646–653. 20 indexed citations
8.
Alpízar‐Alpízar, Warner, et al.. (2014). Asociación del polimorfismo del codon 72 del gen p53 con el riesgo de cáncer gástrico en una población de alto riesgo de Costa Rica. Revista de Biología Tropical. 53(3-4). 317–317. 3 indexed citations
9.
Cuenca, Patricia & Vanessa Ramí­rez. (2014). Aberraciones cromosómicas en trabajadoras expuestas a plaguicidas. Revista de Biología Tropical. 1(2). 623–623. 4 indexed citations
10.
Cuenca, Patricia & Vanessa Ramí­rez. (2014). Mutagénesis ambiental y el uso de biomarcadores para predecir el riesgo de cáncer. Revista de Biología Tropical. 1(2). 585–585. 1 indexed citations
11.
Cuenca, Patricia & Fernando Morales. (2014). Las mutaciones inestables, nuevo reto para el consejo genético de enfermedades hereditarias. Revista de Biología Tropical. 1(2). 491–491. 2 indexed citations
12.
Ramí­rez, Vanessa, et al.. (2014). Polimorfismos en los genes de desintoxicación CYP1A1, CYP2E1, GSTT1 y GSTM1 en la susceptibilidad al cáncer gástrico. Revista de Biología Tropical. 1(2). 591–591. 11 indexed citations
13.
Ortiz, Fernando López, et al.. (2014). Genotoxicidad de tres plaguicidas utilizados en la actividad bananera de Costa Rica. Revista de Biología Tropical. 1(2). 601–601. 13 indexed citations
14.
Morales, Fernando, Jillian M. Couto, Catherine F. Higham, et al.. (2012). Somatic instability of the expanded CTG triplet repeat in myotonic dystrophy type 1 is a heritable quantitative trait and modifier of disease severity. Human Molecular Genetics. 21(16). 3558–3567. 128 indexed citations
15.
Sierra, Rafaela, Clas Une, Vanessa Ramí­rez, et al.. (2008). Relation of atrophic gastritis with Helicobacter pylori -CagA+ and interleukin-1 gene polymorphisms. World Journal of Gastroenterology. 14(42). 6481–6481. 20 indexed citations
16.
Morales, Fernando, Patricia Cuenca, Gerardo Del Valle, et al.. (2008). Gene symbol: CLCN1. Disease: Myotonia congenita.. PubMed. 123(1). 104–5. 1 indexed citations
17.
Morales, Fernando, Patricia Cuenca, Gerardo Del Valle, et al.. (2006). Clinical and molecular diagnosis of a Costa Rican family with autosomal recessive myotonia congenita (Becker disease) carrying a new mutation in the CLCN1 gene. Revista de Biología Tropical. 56(1). 1–11. 8 indexed citations
18.
Alpízar‐Alpízar, Warner, et al.. (2005). Association of interleukin-1B and interleukin-1RN polymorphisms with gastric cancer in a high-risk population of Costa Rica. Clinical and Experimental Medicine. 5(4). 169–176. 65 indexed citations
19.
Ramí­rez, Vanessa, et al.. (2004). [Polymorphisms in detoxification genes CYP1A1, CYP2E1, GSTT1 and GSTM1 in gastric cancer susceptibility].. PubMed. 52(3). 591–600. 20 indexed citations
20.
Ramí­rez, Vanessa & Patricia Cuenca. (2001). Micronuclei frequency in lymphocytes of individuals occupationally exposed to pesticides.. PubMed. 49(1). 1–8. 17 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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