J. Expósito

577 total citations
26 papers, 190 citations indexed

About

J. Expósito is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J. Expósito has authored 26 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Genetics and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J. Expósito's work include Muscle Physiology and Disorders (10 papers), Neurogenetic and Muscular Disorders Research (10 papers) and RNA modifications and cancer (5 papers). J. Expósito is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Neurogenetic and Muscular Disorders Research (10 papers) and RNA modifications and cancer (5 papers). J. Expósito collaborates with scholars based in Spain, United Kingdom and France. J. Expósito's co-authors include Antonio Andrés Pueyo, Daniel Natera‐de Benito, C. Ortez, A. Nascimento, Laura Carrera‐García, ‪Damien Gratadour‬, Daniel Cuadras, C. Jimenez‐Mallebrera, Y. Clénet and Juan F. Vázquez‐Costa and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Personality and Individual Differences.

In The Last Decade

J. Expósito

21 papers receiving 185 citations

Peers

J. Expósito

GENET

SURGE

CMN

CCM

Inmaculada Pitarch Castellano Spain

Vasantha Gowda United Kingdom

Bo Hoon Lee United States

Jennie Sheehan United Kingdom

Judit Balog Netherlands

Majeed Al-Mateen United States

Cheuk Wing Fung China

Anne‐Gaëlle Le Moing France

Anaita Hegde India

Inmaculada Pitarch Castellano Spain

J. Expósito

70 ×0.7

99 ×1.1

GENET

49 ×1.3

SURGE

14 ×0.7

CMN

9 ×0.4

CCM

Citations per year, relative to J. Expósito J. Expósito (= 1×) peers Inmaculada Pitarch Castellano

Countries citing papers authored by J. Expósito

Since Specialization

Citations

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

Fields of papers citing papers by J. Expósito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Expósito

This figure shows the co-authorship network connecting the top 25 collaborators of J. Expósito. A scholar is included among the top collaborators of J. Expósito 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 J. Expósito. J. Expósito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Madrigal, Irene, Gemma Arca, J. Expósito, et al.. (2025). MYL1‐Related Congenital Myopathy: Clinical, Genetic and Pathological Insights. Neuropathology and Applied Neurobiology. 51(3). e70025–e70025.

Camacho, Ana, C. Ortez, Laura Carrera‐García, et al.. (2024). Epilepsy in Duchenne and Becker muscular dystrophies. Annals of Clinical and Translational Neurology. 11(6). 1456–1464.

Matalonga, Leslie, Loreto Martorell, Anna Codina, et al.. (2024). Improving Diagnostic Precision: Phenotype-Driven Analysis Uncovers a Maternal Mosaicism in an Individual with RYR1 -Congenital Myopathy. Journal of Neuromuscular Diseases. 11(3). 647–653. 1 indexed citations

Benito, Daniel Natera‐de, Carla Garcia‐Cabau, Cristina Jou, et al.. (2023). Common pathophysiology for ANXA11 disorders caused by aspartate 40 variants. Annals of Clinical and Translational Neurology. 10(3). 408–425. 7 indexed citations

Codina, Anna, Mónica Roldán, Daniel Natera‐de Benito, et al.. (2023). Innovative Computerized Dystrophin Quantification Method Based on Spectral Confocal Microscopy. International Journal of Molecular Sciences. 24(7). 6358–6358.

César, Sergi, Óscar Campuzano, Daniel Natera‐de Benito, et al.. (2023). Characterization of cardiac involvement in children with LMNA-related muscular dystrophy. Frontiers in Cell and Developmental Biology. 11. 1142937–1142937. 4 indexed citations

Benito, Daniel Natera‐de, Laura Carrera‐García, Anna Codina, et al.. (2023). Full-Length SMN Transcript in Extracellular Vesicles as Biomarker in Individuals with Spinal Muscular Atrophy Type 2 Treated with Nusinersen. Journal of Neuromuscular Diseases. 10(4). 653–665. 5 indexed citations

Vázquez‐Costa, Juan F., Mónica Povedano, S. Kapetanovic García, et al.. (2022). Nusinersen in adult patients with 5q spinal muscular atrophy: A multicenter observational cohorts' study. European Journal of Neurology. 29(11). 3337–3346. 20 indexed citations

Vázquez‐Costa, Juan F., Mónica Povedano, S. Kapetanovic García, et al.. (2022). Validation of motor and functional scales for the evaluation of adult patients with 5q spinal muscular atrophy. European Journal of Neurology. 29(12). 3666–3675. 26 indexed citations

10.

Carrera‐García, Laura, Jordi Muchart, Juan José Lázaro, et al.. (2021). Pediatric SMA patients with complex spinal anatomy: Implementation and evaluation of a decision-tree algorithm for administration of nusinersen. European Journal of Paediatric Neurology. 31. 92–101. 10 indexed citations

11.

Benito, Daniel Natera‐de, Susana Boronat, J. Expósito, et al.. (2021). Copper Toxicity Associated With an ATP7A-Related Complex Phenotype. Pediatric Neurology. 119. 40–44. 6 indexed citations

12.

Expósito, J., et al.. (2021). SMA – OUTCOME MEASURES AND REGISTRIES. Neuromuscular Disorders. 31. S128–S128.

13.

Benito, Daniel Natera‐de, C. Ortez, Cristina Jou, et al.. (2020). The Phenotype and Genotype of Congenital Myopathies Based on a Large Pediatric Cohort. Pediatric Neurology. 115. 50–65. 13 indexed citations

14.

Benito, Daniel Natera‐de, J. Expósito, C. Ortez, et al.. (2020). Longitudinal Study of Three microRNAs in Duchenne Muscular Dystrophy and Becker Muscular Dystrophy. Frontiers in Neurology. 11. 304–304. 17 indexed citations

15.

Benito, Daniel Natera‐de, Laura Carrera‐García, C. Ortez, et al.. (2020). Early and long-term effect of the treatment with pyridostigmine in patients with GMPPB-related congenital myasthenic syndrome. Neuromuscular Disorders. 30(9). 719–726. 2 indexed citations

16.

Frongia, A., Daniel Natera‐de Benito, C. Ortez, et al.. (2019). Salbutamol tolerability and efficacy in patients with spinal muscular atrophy type II. Neuromuscular Disorders. 29(7). 517–524. 16 indexed citations

17.

Ortez, C., et al.. (2019). Avances en el tratamiento de la distrofia de Duchenne. Medicina-buenos Aires. 79. 77–81. 1 indexed citations

18.

Expósito, J., et al.. (2019). P.226Longitudinal study of the natural history of spinal muscular atrophy type 2 and 3. Neuromuscular Disorders. 29. S132–S132. 1 indexed citations

19.

Expósito, J., ‪Damien Gratadour‬, Y. Clénet, & Daniel Rouan. (2011). Star formation and jet-induced coronal lines near the core of NGC 1068. Astronomy and Astrophysics. 533. A63–A63. 11 indexed citations

20.

Expósito, J. & Antonio Andrés Pueyo. (1997). The effects of impulsivity on the perceptual and decision stages in a choice reaction time task. Personality and Individual Differences. 22(5). 693–697. 24 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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