Iván Martínez-Valbuena

1.0k total citations
45 papers, 604 citations indexed

About

Iván Martínez-Valbuena is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Iván Martínez-Valbuena has authored 45 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Neurology, 17 papers in Physiology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Iván Martínez-Valbuena's work include Parkinson's Disease Mechanisms and Treatments (28 papers), Alzheimer's disease research and treatments (16 papers) and Neurological disorders and treatments (14 papers). Iván Martínez-Valbuena is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (28 papers), Alzheimer's disease research and treatments (16 papers) and Neurological disorders and treatments (14 papers). Iván Martínez-Valbuena collaborates with scholars based in Canada, Spain and Australia. Iván Martínez-Valbuena's co-authors include M. R. Luquín, Gábor G. Kovács, Anthony E. Lang, Irene Marcilla, Mar Carmona‐Abellán, María J. Tuñón, Eduardo Martínez‐Vila, Seojin Lee, Naomi P. Visanji and Javier Bernácer and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Iván Martínez-Valbuena

45 papers receiving 601 citations

Peers

Iván Martínez-Valbuena
Mitsumoto Onaya Japan
Adam Chen United States
Diana G. Ferreira Portugal
Manuela Caracciolo Italy
Petra Mazzocchetti Italy
Karin D. van Dijk Netherlands
Maria Rosaria Monsurrò Italy
Bruno Bergmans Belgium
Kuncheng Liu China
Jiehao Zhao China
Mitsumoto Onaya Japan
Iván Martínez-Valbuena
Citations per year, relative to Iván Martínez-Valbuena Iván Martínez-Valbuena (= 1×) peers Mitsumoto Onaya

Countries citing papers authored by Iván Martínez-Valbuena

Since Specialization
Citations

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

Fields of papers citing papers by Iván Martínez-Valbuena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván Martínez-Valbuena. 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 Iván Martínez-Valbuena. The network helps show where Iván Martínez-Valbuena may publish in the future.

Co-authorship network of co-authors of Iván Martínez-Valbuena

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Martínez-Valbuena. A scholar is included among the top collaborators of Iván Martínez-Valbuena 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 Iván Martínez-Valbuena. Iván Martínez-Valbuena 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.
Kon, Tomoya, Seojin Lee, Iván Martínez-Valbuena, et al.. (2024). Molecular Behavior of α-Synuclein Is Associated with Membrane Transport, Lipid Metabolism, and Ubiquitin–Proteasome Pathways in Lewy Body Disease. International Journal of Molecular Sciences. 25(5). 2676–2676. 4 indexed citations
2.
Tanaka, Hidetomo, Seojin Lee, Iván Martínez-Valbuena, et al.. (2024). Ageing‐related tau astrogliopathy severely affecting the substantia nigra. Neuropathology and Applied Neurobiology. 50(4). e13000–e13000. 2 indexed citations
3.
Lee, Seojin, Iván Martínez-Valbuena, Anthony E. Lang, & Gábor G. Kovács. (2024). Cellular iron deposition patterns predict clinical subtypes of multiple system atrophy. Neurobiology of Disease. 197. 106535–106535. 6 indexed citations
4.
Martínez-Valbuena, Iván, Simrika Thapa, Foad Taghdiri, et al.. (2024). CSF α-Synuclein Seed Amplification Assay in Patients With Atypical Parkinsonian Disorders. Neurology. 103(6). e209818–e209818. 9 indexed citations
5.
Forrest, Shelley L., Seojin Lee, Iván Martínez-Valbuena, et al.. (2023). Cell-specific MAPT gene expression is preserved in neuronal and glial tau cytopathologies in progressive supranuclear palsy. Acta Neuropathologica. 146(3). 395–414. 20 indexed citations
6.
Jiménez‐Jiménez, Félix Javier, Hortensia Alonso‐Navarro, Elena Garcı́a-Martı́n, et al.. (2023). Alpha-Synuclein in Peripheral Tissues as a Possible Marker for Neurological Diseases and Other Medical Conditions. Biomolecules. 13(8). 1263–1263. 15 indexed citations
7.
Lau, Heather H. C., Iván Martínez-Valbuena, Raphaella W. L. So, et al.. (2023). The G51D SNCA mutation generates a slowly progressive α-synuclein strain in early-onset Parkinson’s disease. Acta Neuropathologica Communications. 11(1). 72–72. 15 indexed citations
8.
9.
Martínez-Valbuena, Iván, Naomi P. Visanji, Heather H. C. Lau, et al.. (2022). Alpha-synuclein seeding shows a wide heterogeneity in multiple system atrophy. Translational Neurodegeneration. 11(1). 7–7. 65 indexed citations
10.
Olszewska, Diana A., Iván Martínez-Valbuena, Naomi P. Visanji, et al.. (2022). A rapid, ultra-sensitive, RT-QuIC assay, with novel protocol, for MSA and PD using a single site skin biopsy and serum neurofilament light chain. (P1-1.Virtual). Neurology. 98(18_supplement). 1 indexed citations
11.
Martínez-Valbuena, Iván, et al.. (2022). Expanding the spectrum of amyloid-β plaque pathology: the Down syndrome associated ‘bird-nest plaque’. Acta Neuropathologica. 144(6). 1171–1174. 7 indexed citations
12.
Martínez-Valbuena, Iván, Enrique Santamaría, Joaquín Fernández‐Irigoyen, et al.. (2022). α-Synuclein molecular behavior and nigral proteomic profiling distinguish subtypes of Lewy body disorders. Acta Neuropathologica. 144(2). 167–185. 17 indexed citations
13.
Carmona‐Abellán, Mar, et al.. (2020). Microglia is associated with p-Tau aggregates in the olfactory bulb of patients with neurodegenerative diseases. Neurological Sciences. 42(4). 1473–1482. 9 indexed citations
14.
Martínez-Valbuena, Iván, Iñaki-Carril Mundiñano, María Hernández, et al.. (2020). CAV-2-Mediated GFP and LRRK2G2019S Expression in the Macaca fascicularis Brain. Frontiers in Molecular Neuroscience. 13. 49–49. 2 indexed citations
15.
Mínguez‐Olaondo, Ane, Iván Martínez-Valbuena, Sonia Romero, et al.. (2020). Excess abdominal fat is associated with cutaneous allodynia in individuals with migraine: a prospective cohort study. The Journal of Headache and Pain. 21(1). 9–9. 11 indexed citations
16.
Bernácer, Javier, Iván Martínez-Valbuena, Martı́n Martı́nez, et al.. (2019). An amygdala-cingulate network underpins changes in effort-based decision making after a fitness program. NeuroImage. 203. 116181–116181. 31 indexed citations
17.
Bernácer, Javier, Iván Martínez-Valbuena, Martı́n Martı́nez, et al.. (2018). Neural correlates of effort-based behavioral inconsistency. Cortex. 113. 96–110. 9 indexed citations
18.
Martínez-Valbuena, Iván, et al.. (2018). Interaction of amyloidogenic proteins in pancreatic β cells from subjects with synucleinopathies. Acta Neuropathologica. 135(6). 877–886. 57 indexed citations
19.
Rodríguez‐Nogales, Carlos, Elisa Garbayo, Iván Martínez-Valbuena, et al.. (2016). Development and characterization of polo-like kinase 2 loaded nanoparticles-A novel strategy for (serine-129) phosphorylation of alpha-synuclein. International Journal of Pharmaceutics. 514(1). 142–149. 12 indexed citations
20.
Martínez-Valbuena, Iván & Javier Bernácer. (2014). Behavioral duality in an integrated agent. Frontiers in Human Neuroscience. 8. 614–614. 2 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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