Fernando Morales

786 total citations
26 papers, 421 citations indexed

About

Fernando Morales is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fernando Morales has authored 26 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 18 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fernando Morales's work include Genetic Neurodegenerative Diseases (20 papers), Mitochondrial Function and Pathology (11 papers) and DNA Repair Mechanisms (6 papers). Fernando Morales is often cited by papers focused on Genetic Neurodegenerative Diseases (20 papers), Mitochondrial Function and Pathology (11 papers) and DNA Repair Mechanisms (6 papers). Fernando Morales collaborates with scholars based in Costa Rica, United Kingdom and United States. Fernando Morales's co-authors include Darren G. Monckton, Patricia Cuenca, Michael Pusch, Catherine F. Higham, Gerardo Del Valle, Berit Adam, Tetsuo Ashizawa, Richard H. Wilson, Grant Hogg and Jillian M. Couto and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Fernando Morales

24 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Morales Costa Rica 10 352 335 97 53 39 26 421
Zuzana Mušová Czechia 8 221 0.6× 166 0.5× 61 0.6× 28 0.5× 35 0.9× 21 261
Natali A. Minassian United States 8 435 1.2× 321 1.0× 65 0.7× 51 1.0× 80 2.1× 10 480
S. Chamberlain United Kingdom 10 245 0.7× 270 0.8× 90 0.9× 18 0.3× 17 0.4× 20 377
A. K. Mosemiller United States 5 344 1.0× 286 0.9× 62 0.6× 9 0.2× 49 1.3× 6 406
Madhureeta Achari United States 5 495 1.4× 473 1.4× 143 1.5× 16 0.3× 75 1.9× 7 550
Giovanni Matteo Fratta Italy 7 422 1.2× 74 0.2× 25 0.3× 34 0.6× 32 0.8× 8 463
Jolene R. Guide United States 6 310 0.9× 224 0.7× 75 0.8× 8 0.2× 93 2.4× 7 366
Fatima Jaffer United Kingdom 6 138 0.4× 86 0.3× 55 0.6× 42 0.8× 67 1.7× 12 264
Alejandro Lloret United States 6 403 1.1× 346 1.0× 116 1.2× 7 0.1× 50 1.3× 9 484
Hidetaka Akiyoshi Japan 5 268 0.8× 209 0.6× 18 0.2× 50 0.9× 51 1.3× 9 342

Countries citing papers authored by Fernando Morales

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Morales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Morales

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Morales. A scholar is included among the top collaborators of Fernando Morales 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 Fernando Morales. Fernando Morales 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.
Ramírez, David, María C. Ramos, Thomas A. Mackenzie, et al.. (2024). Repurposing the Open Global Health Library for the discovery of novel Mpro destabilizers with scope as broad-spectrum antivirals. Frontiers in Pharmacology. 15. 1390705–1390705. 2 indexed citations
2.
Pusch, Michael, et al.. (2023). ClC-1 Chloride Channel: Inputs on the Structure–Function Relationship of Myotonia Congenita-Causing Mutations. Biomedicines. 11(10). 2622–2622. 2 indexed citations
3.
4.
Barbieri, Raffaella, Adarli Romero, Gerardo Del Valle, et al.. (2021). Functional and Structural Characterization of ClC-1 and Nav1.4 Channels Resulting from CLCN1 and SCN4A Mutations Identified Alone and Coexisting in Myotonic Patients. Cells. 10(2). 374–374. 2 indexed citations
5.
Morales, Fernando, et al.. (2020). An agent-based model to investigate microbial initiation of Alzheimer’s via the olfactory system. Theoretical Biology and Medical Modelling. 17(1). 5–5. 18 indexed citations
6.
Morales, Fernando & Michael Pusch. (2020). An Up-to-Date Overview of the Complexity of Genotype-Phenotype Relationships in Myotonic Channelopathies. Frontiers in Neurology. 10. 1404–1404. 29 indexed citations
7.
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
8.
9.
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
10.
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
11.
Gomes‐Pereira, Mário, et al.. (2014). Disease-associated CAG{middle dot}CTG triplet repeats expand rapidly in non-dividing mouse cells, but cell cycle arrest is insufficient to drive expansion. Nucleic Acids Research. 42(11). 7047–7056. 22 indexed citations
12.
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
13.
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
14.
Higham, Catherine F., Fernando Morales, Christina A. Cobbold, Daniel T. Haydon, & Darren G. Monckton. (2012). High levels of somatic DNA diversity at the myotonic dystrophy type 1 locus are driven by ultra-frequent expansion and contraction mutations. Human Molecular Genetics. 21(11). 2450–2463. 37 indexed citations
15.
Morales, Fernando, et al.. (2011). Abordaje integral de pacientes costarricenses afectados con la enfermedad de Huntington y sus familiares. Acta Médica Costarricense. 53(3). 4 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.
Morales, Fernando, et al.. (2003). Aspectos genéticos y moleculares de la enfermedad de Huntington (HD). 74–81. 1 indexed citations
19.
Morales, Fernando, et al.. (2001). Diagnóstico molecular de la Distrofia Miotónica (DM) en Costa Rica. Acta Médica Costarricense. 43(4). 159–167. 3 indexed citations
20.
Morales, Fernando, et al.. (1999). Aspectos genéticos y moleculares de la distrofia miotónica. 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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