Pablo V. Escribá

7.5k total citations · 1 hit paper
128 papers, 5.9k citations indexed

About

Pablo V. Escribá is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, Pablo V. Escribá has authored 128 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 29 papers in Cellular and Molecular Neuroscience and 20 papers in Biochemistry. Recurrent topics in Pablo V. Escribá's work include Lipid Membrane Structure and Behavior (32 papers), Receptor Mechanisms and Signaling (24 papers) and Neurotransmitter Receptor Influence on Behavior (18 papers). Pablo V. Escribá is often cited by papers focused on Lipid Membrane Structure and Behavior (32 papers), Receptor Mechanisms and Signaling (24 papers) and Neurotransmitter Receptor Influence on Behavior (18 papers). Pablo V. Escribá collaborates with scholars based in Spain, United States and United Kingdom. Pablo V. Escribá's co-authors include Jesús A. García‐Sevilla, Catalina Ana Rosselló, Xavier Busquets, Gwendolyn Barceló‐Coblijn, David J. López, Silvia Terés, Maitane Ibarguren, Andrés Ozaita, Oliver Vögler and Francisca Barceló and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Pablo V. Escribá

125 papers receiving 5.8k citations

Hit Papers

Membrane Lipid Composition: Effect on Membrane and Organe... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Pablo V. Escribá
Pablo V. Escribá
Citations per year, relative to Pablo V. Escribá Pablo V. Escribá (= 1×) peers Kit I. Tong

Countries citing papers authored by Pablo V. Escribá

Since Specialization
Citations

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

Fields of papers citing papers by Pablo V. Escribá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo V. Escribá. 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 Pablo V. Escribá. The network helps show where Pablo V. Escribá may publish in the future.

Co-authorship network of co-authors of Pablo V. Escribá

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo V. Escribá. A scholar is included among the top collaborators of Pablo V. Escribá 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 Pablo V. Escribá. Pablo V. Escribá 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.
Lladó, Victoria, et al.. (2025). Fat for thought: Lipid regulation of neural stem cell fate. Biomedicine & Pharmacotherapy. 193. 118785–118785.
2.
Torres, M., et al.. (2024). Targeting the Notch-Furin axis with 2-hydroxyoleic acid: a key mechanism in glioblastoma therapy. Cellular Oncology. 48(2). 373–390. 1 indexed citations
3.
Lopez, Juanita, Julia Lai‐Kwon, R. Molife, et al.. (2023). A Phase 1/2A trial of idroxioleic acid: first-in-class sphingolipid regulator and glioma cell autophagy inducer with antitumor activity in refractory glioma. British Journal of Cancer. 129(5). 811–818. 10 indexed citations
4.
Torres, M., et al.. (2023). Evolving Diagnostic and Treatment Strategies for Pediatric CNS Tumors: The Impact of Lipid Metabolism. Biomedicines. 11(5). 1365–1365. 4 indexed citations
6.
Balestrieri, Marco, Yolande Thérèse Rose Proroga, Andrea Mancusi, et al.. (2023). Antimicrobial activity, membrane interaction and structural features of short arginine-rich antimicrobial peptides. Frontiers in Microbiology. 14. 1244325–1244325. 19 indexed citations
7.
Ambrosio, Rosa Luisa, et al.. (2022). The Antimicrobial Peptide 1018-K6 Interacts Distinctly with Eukaryotic and Bacterial Membranes, the Basis of Its Specificity and Bactericidal Activity. International Journal of Molecular Sciences. 23(20). 12392–12392. 8 indexed citations
8.
Torres, M., et al.. (2022). HCA (2-Hydroxy-Docosahexaenoic Acid) Induces Apoptosis and Endoplasmic Reticulum Stress in Pancreatic Cancer Cells. International Journal of Molecular Sciences. 23(17). 9902–9902. 3 indexed citations
10.
Nicolson, Garth L., Gonzalo Ferreira, Michael Ash, Robert Settineri, & Pablo V. Escribá. (2021). Fundamentals of Membrane Lipid Replacement: A Natural Medicine Approach to Repairing Cellular Membranes and Reducing Fatigue, Pain, and Other Symptoms While Restoring Function in Chronic Illnesses and Aging. Membranes. 11(12). 944–944. 16 indexed citations
11.
Torres, M., et al.. (2021). The Novel Antitumor Compound HCA Promotes Glioma Cell Death by Inducing Endoplasmic Reticulum Stress and Autophagy. Cancers. 13(17). 4290–4290. 7 indexed citations
12.
Torres, M., et al.. (2021). Lipids in Pathophysiology and Development of the Membrane Lipid Therapy: New Bioactive Lipids. Membranes. 11(12). 919–919. 30 indexed citations
13.
Torres, M., et al.. (2020). The Implications for Cells of the Lipid Switches Driven by Protein–Membrane Interactions and the Development of Membrane Lipid Therapy. International Journal of Molecular Sciences. 21(7). 2322–2322. 20 indexed citations
14.
Escribá, Pablo V., et al.. (2019). Membrane Lipid Composition: Effect on Membrane and Organelle Structure, Function and Compartmentalization and Therapeutic Avenues. International Journal of Molecular Sciences. 20(9). 2167–2167. 535 indexed citations breakdown →
15.
Rosselló, Catalina Ana, et al.. (2019). The Opposing Contribution of SMS1 and SMS2 to Glioma Progression and Their Value in the Therapeutic Response to 2OHOA. Cancers. 11(1). 88–88. 27 indexed citations
16.
Álvarez, Rafael, David J. López, Jesús Casas, et al.. (2015). G protein–membrane interactions I: Gαi1 myristoyl and palmitoyl modifications in protein–lipid interactions and its implications in membrane microdomain localization. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1851(11). 1511–1520. 23 indexed citations
17.
Lladó, Victoria, David J. López, Maitane Ibarguren, et al.. (2014). Regulation of the cancer cell membrane lipid composition by NaCHOleate. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(6). 1619–1627. 76 indexed citations
18.
Piotto, Stefano, Simona Concilio, Pio Iannelli, et al.. (2014). Differential effect of 2-hydroxyoleic acid enantiomers on protein (sphingomyelin synthase) and lipid (membrane) targets. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(6). 1628–1637. 22 indexed citations
19.
Escribá, Pablo V.. (2007). G protein-coupled receptors, signaling mechanisms and pathophysiological relevance. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1768(4). 747–747.
20.
Olmos, Gabriel, Regina Alemany, Pablo V. Escribá, & Jesús A. García‐Sevilla. (1994). The effects of chronic imidazoline drug treatment on glial fibrillary acidic protein concentrations in rat brain. British Journal of Pharmacology. 111(4). 997–1002. 66 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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