Laura Rodríguez‐Pascau

488 total citations
17 papers, 291 citations indexed

About

Laura Rodríguez‐Pascau is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Laura Rodríguez‐Pascau has authored 17 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Laura Rodríguez‐Pascau's work include Lysosomal Storage Disorders Research (7 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Mitochondrial Function and Pathology (3 papers). Laura Rodríguez‐Pascau is often cited by papers focused on Lysosomal Storage Disorders Research (7 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Mitochondrial Function and Pathology (3 papers). Laura Rodríguez‐Pascau collaborates with scholars based in Spain, United States and Austria. Laura Rodríguez‐Pascau's co-authors include Daniel Grinberg, Lluı̈sa Vilageliu, Marc Martinell, María Josep Coll, Pilar Pizcueta, Cristina Vergara, Edward H. Schuchman, Xavier Barril, J. Aymamí and Laura Gort and has published in prestigious journals such as Neurology, International Journal of Molecular Sciences and Science Translational Medicine.

In The Last Decade

Laura Rodríguez‐Pascau

16 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Rodríguez‐Pascau Spain 10 176 120 44 44 42 17 291
Samantha Cooper United States 5 96 0.5× 241 2.0× 19 0.4× 52 1.2× 43 1.0× 6 338
Mylene Huebecker United Kingdom 12 208 1.2× 293 2.4× 44 1.0× 140 3.2× 56 1.3× 13 498
Elham Jaberi Iran 10 175 1.0× 46 0.4× 51 1.2× 18 0.4× 22 0.5× 16 347
G.-J. Lee-Chen Taiwan 12 142 0.8× 131 1.1× 118 2.7× 54 1.2× 41 1.0× 14 326
Anna Přistoupilová Czechia 10 223 1.3× 164 1.4× 66 1.5× 141 3.2× 8 0.2× 15 410
Aziza Chedrawi Saudi Arabia 12 138 0.8× 50 0.4× 41 0.9× 50 1.1× 16 0.4× 18 306
Rebeca Lapresa Spain 9 149 0.8× 73 0.6× 42 1.0× 26 0.6× 9 0.2× 13 284
Ndidi-Ese Uzor United States 9 246 1.4× 86 0.7× 53 1.2× 67 1.5× 6 0.1× 11 439
Giovana da Silva Leandro Brazil 10 352 2.0× 99 0.8× 35 0.8× 25 0.6× 5 0.1× 18 477
Sandra M. Martín‐Guerrero United Kingdom 11 194 1.1× 69 0.6× 39 0.9× 87 2.0× 7 0.2× 20 328

Countries citing papers authored by Laura Rodríguez‐Pascau

Since Specialization
Citations

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

Fields of papers citing papers by Laura Rodríguez‐Pascau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Rodríguez‐Pascau. 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 Laura Rodríguez‐Pascau. The network helps show where Laura Rodríguez‐Pascau may publish in the future.

Co-authorship network of co-authors of Laura Rodríguez‐Pascau

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

All Works

17 of 17 papers shown
1.
Delaspre, Fabien, Cristina Vergara, Laura Rodríguez‐Pascau, et al.. (2025). Leriglitazone improves iron homeostasis and ferroptotic markers in frataxin-deficient dorsal root ganglia neurons. Biomedicine & Pharmacotherapy. 192. 118553–118553.
2.
Rodríguez‐Pascau, Laura, Sílvia Pascual, Sonia Poli, et al.. (2024). Clinical pharmacokinetics of leriglitazone and a translational approach using PBPK modeling to guide the selection of the starting dose in children. CPT Pharmacometrics & Systems Pharmacology. 13(6). 982–993. 2 indexed citations
3.
Pizcueta, Pilar, Cristina Vergara, Marco Emanuele, et al.. (2023). Development of PPARγ Agonists for the Treatment of Neuroinflammatory and Neurodegenerative Diseases: Leriglitazone as a Promising Candidate. International Journal of Molecular Sciences. 24(4). 3201–3201. 17 indexed citations
4.
Grau, C. J. Alejos, Cristina Vergara, Laura Rodríguez‐Pascau, et al.. (2023). Mitochondrial modulation with leriglitazone as a potential treatment for Rett syndrome. Journal of Translational Medicine. 21(1). 756–756. 10 indexed citations
5.
Santambrogio, Paolo, Anna Cozzi, Ivano Di Meo, et al.. (2023). PPAR Gamma Agonist Leriglitazone Recovers Alterations Due to Pank2-Deficiency in hiPS-Derived Astrocytes. Pharmaceutics. 15(1). 202–202. 6 indexed citations
6.
Rodríguez‐Pascau, Laura, Anna Vilalta, Sonja Forss‐Petter, et al.. (2021). The brain penetrant PPARγ agonist leriglitazone restores multiple altered pathways in models of X-linked adrenoleukodystrophy. Science Translational Medicine. 13(596). 27 indexed citations
7.
Rodríguez‐Pascau, Laura, Elena Britti, Pablo Calap-Quintana, et al.. (2020). PPAR gamma agonist leriglitazone improves frataxin-loss impairments in cellular and animal models of Friedreich Ataxia. Neurobiology of Disease. 148. 105162–105162. 42 indexed citations
8.
Poli, Sonia, Laura Rodríguez‐Pascau, Elena Britti, et al.. (2020). MIN102 (Leriglitazone), a Brain Penetrant PPAR Gamma Agonist for the Treatment of Friedreich’s Ataxia (4147). Neurology. 94(15_supplement). 3 indexed citations
10.
Aymamí, J., Xavier Barril, Marc Revés, et al.. (2014). Enzyme Enhancement Therapy through non-competitive pharmacological chaperones. 390–395. 1 indexed citations
11.
Rodríguez‐Pascau, Laura, Claudio Toma, Judit Macías‐Vidal, et al.. (2012). Characterisation of two deletions involving NPC1 and flanking genes in Niemann–Pick Type C disease patients. Molecular Genetics and Metabolism. 107(4). 716–720. 14 indexed citations
12.
Aymamí, J., Xavier Barril, Laura Rodríguez‐Pascau, & Marc Martinell. (2012). Pharmacological Chaperones for Enzyme Enhancement Therapy in Genetic Diseases. Pharmaceutical Patent Analyst. 2(1). 109–124. 23 indexed citations
13.
Rodríguez‐Pascau, Laura, María Josep Coll, Josefina Casas, Lluı̈sa Vilageliu, & Daniel Grinberg. (2011). Generation of a Human Neuronal Stable Cell Model for Niemann-Pick C Disease by RNA Interference. JIMD Reports. 4. 29–37. 7 indexed citations
14.
Macías‐Vidal, Judit, et al.. (2010). Molecular analysis of 30 Niemann-Pick type C patients from Spain. Clinical Genetics. 80(1). 39–49. 31 indexed citations
15.
Pérez, Belén, et al.. (2010). Present and future of antisense therapy for splicing modulation in inherited metabolic disease. Journal of Inherited Metabolic Disease. 33(4). 397–403. 32 indexed citations
16.
Rodríguez‐Pascau, Laura, María Josep Coll, Lluı̈sa Vilageliu, & Daniel Grinberg. (2009). Antisense oligonucleotide treatment for a pseudoexon-generating mutation in theNPC1gene causing Niemann-Pick type C disease. Human Mutation. 30(11). E993–E1001. 40 indexed citations
17.
Rodríguez‐Pascau, Laura, et al.. (2009). Identification and characterization ofSMPD1mutations causing Niemann-Pick types A and B in Spanish patients. Human Mutation. 30(7). 1117–1122. 35 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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