María Izco

615 total citations
19 papers, 491 citations indexed

About

María Izco is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, María Izco has authored 19 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in María Izco's work include Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). María Izco is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). María Izco collaborates with scholars based in Spain, United Kingdom and Italy. María Izco's co-authors include Lydia Alvarez‐Erviti, Javier Blesa, Esther O’Shea, Jonathan M. Cooper, María de Toro, Laura Orío, Raquel Forcén, Martin Schleef, Marco Schmeer and Riccardo Porcari and has published in prestigious journals such as Nature Communications, Neuroscience and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

María Izco

18 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Izco Spain 13 250 100 98 94 70 19 491
Giovanna Rigillo Italy 14 220 0.9× 54 0.5× 64 0.7× 68 0.7× 79 1.1× 31 563
Maxine J Fowler United Kingdom 14 163 0.7× 27 0.3× 67 0.7× 64 0.7× 54 0.8× 19 431
Shihao Huang China 12 236 0.9× 86 0.9× 83 0.8× 15 0.2× 18 0.3× 40 439
Pariya Khodabakhsh Iran 11 136 0.5× 58 0.6× 36 0.4× 75 0.8× 69 1.0× 15 313
Belén Palomares Spain 13 157 0.6× 16 0.2× 136 1.4× 29 0.3× 22 0.3× 14 521
Irene García-Domínguez Spain 9 169 0.7× 15 0.1× 43 0.4× 53 0.6× 120 1.7× 14 387
Himanshu Sharma India 13 154 0.6× 53 0.5× 35 0.4× 41 0.4× 26 0.4× 47 432
Teresa Dragone Italy 6 158 0.6× 27 0.3× 60 0.6× 78 0.8× 157 2.2× 7 493
Ivi Juliana Bristot Brazil 11 212 0.8× 40 0.4× 47 0.5× 45 0.5× 17 0.2× 15 440
Nizar M. Yousif Germany 8 116 0.5× 15 0.1× 48 0.5× 75 0.8× 207 3.0× 8 457

Countries citing papers authored by María Izco

Since Specialization
Citations

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

Fields of papers citing papers by María Izco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Izco

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

All Works

19 of 19 papers shown
1.
Izco, María, Carme Solà, Martin Schleef, et al.. (2025). Development of human targeted extracellular vesicles loaded with shRNA minicircles to prevent parkinsonian pathology. Translational Neurodegeneration. 14(1). 26–26.
2.
Izco, María, Susanna Navarro, Salvador Ventura, et al.. (2024). Gut microbiota produces biofilm-associated amyloids with potential for neurodegeneration. Nature Communications. 15(1). 4150–4150. 29 indexed citations
4.
Izco, María, et al.. (2023). Targeted Extracellular Vesicle Gene Therapy for Modulating Alpha-Synuclein Expression in Gut and Spinal Cord. Pharmaceutics. 15(4). 1230–1230. 9 indexed citations
5.
Izco, María, et al.. (2022). Impact of endolysosomal dysfunction upon exosomes in neurodegenerative diseases. Neurobiology of Disease. 166. 105651–105651. 10 indexed citations
6.
Alvarez‐Erviti, Lydia, Barbara De Santis, María Izco, et al.. (2021). Biomonitoring of Mycotoxins in Plasma of Patients with Alzheimer’s and Parkinson’s Disease. Toxins. 13(7). 477–477. 15 indexed citations
7.
Izco, María, Ariane Vettorazzi, María de Toro, Yolanda Sáenz, & Lydia Alvarez‐Erviti. (2021). Oral Sub-Chronic Ochratoxin a Exposure Induces Gut Microbiota Alterations in Mice. Toxins. 13(2). 106–106. 21 indexed citations
8.
Izco, María, Ariane Vettorazzi, Raquel Forcén, et al.. (2021). Oral subchronic exposure to the mycotoxin ochratoxin A induces key pathological features of Parkinson's disease in mice six months after the end of the treatment. Food and Chemical Toxicology. 152. 112164–112164. 26 indexed citations
9.
Izco, María, et al.. (2021). The Two Faces of Exosomes in Parkinson’s Disease: From Pathology to Therapy. The Neuroscientist. 28(2). 180–193. 15 indexed citations
10.
Izco, María, Javier Blesa, Guglielmo Verona, Jonathan M. Cooper, & Lydia Alvarez‐Erviti. (2020). Glial activation precedes alpha-synuclein pathology in a mouse model of Parkinson’s disease. Neuroscience Research. 170. 330–340. 22 indexed citations
11.
Izco, María, Javier Blesa, Martin Schleef, et al.. (2019). Systemic Exosomal Delivery of shRNA Minicircles Prevents Parkinsonian Pathology. Molecular Therapy. 27(12). 2111–2122. 173 indexed citations
12.
Allué, José Antonio, Leticia Sarasa, María Izco, et al.. (2016). Outstanding Phenotypic Differences in the Profile of Amyloid-β between Tg2576 and APPswe/PS1dE9 Transgenic Mouse Models of Alzheimer’s Disease. Journal of Alzheimer s Disease. 53(3). 773–785. 10 indexed citations
13.
Izco, María, Paula Martínez, Andrea Corrales, et al.. (2014). Changes in the brain and plasma Aβ peptide levels with age and its relationship with cognitive impairment in the APPswe/PS1dE9 mouse model of Alzheimer’s disease. Neuroscience. 263. 269–279. 35 indexed citations
14.
Izco, María, Pedro Pesini, Virginia Pérez‐Grijalba, Noelia Fandos, & Manuel Sarasa. (2013). Optimized Protocol for Amyloid-β Extraction from the Brain. Journal of Alzheimer s Disease. 34(4). 835–839. 13 indexed citations
15.
Orío, Laura, et al.. (2009). A Study on the Mechanisms by Which Minocycline Protects Against MDMA (‘Ecstasy’)-Induced Neurotoxicity of 5-HT Cortical Neurons. Neurotoxicity Research. 18(2). 187–199. 33 indexed citations
17.
Izco, María, María Dolores Gutiérrez‐López, Ivanny Marchant, Esther O’Shea, & María Isabel Colado. (2009). Administration of neurotoxic doses of MDMA reduces sensitivity to ethanol and increases GAT-1 immunoreactivity in mice striatum. Psychopharmacology. 207(4). 671–679. 5 indexed citations
18.
Izco, María, Ivanny Marchant, Isabel Escobedo, et al.. (2007). Mice with Decreased Cerebral Dopamine Function following a Neurotoxic Dose of MDMA (3,4-Methylenedioxymethamphetamine, “Ecstasy”) Exhibit Increased Ethanol Consumption and Preference. Journal of Pharmacology and Experimental Therapeutics. 322(3). 1003–1012. 21 indexed citations
19.
Izco, María, Laura Orío, Esther O’Shea, & M. Isabel Colado. (2006). Binge ethanol administration enhances the MDMA-induced long-term 5-HT neurotoxicity in rat brain. Psychopharmacology. 189(4). 459–470. 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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