Pablo R. Moya

1.9k total citations
44 papers, 1.3k citations indexed

About

Pablo R. Moya is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Pablo R. Moya has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 16 papers in Molecular Biology and 11 papers in Clinical Psychology. Recurrent topics in Pablo R. Moya's work include Neurotransmitter Receptor Influence on Behavior (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Tryptophan and brain disorders (8 papers). Pablo R. Moya is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Tryptophan and brain disorders (8 papers). Pablo R. Moya collaborates with scholars based in Chile, United States and Japan. Pablo R. Moya's co-authors include Dennis L. Murphy, Jens R. Wendland, Kiara R. Timpano, Renee F. Ren‐Patterson, Meredith A. Fox, Matthew Kruse, Bruce K. Cassels, Anne M. Andrews, Andrew Holmes and Liza M. Rubenstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Pablo R. Moya

40 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo R. Moya Chile 17 546 424 363 254 116 44 1.3k
Vladimir M. Pogorelov United States 18 629 1.2× 217 0.5× 493 1.4× 188 0.7× 95 0.8× 29 1.3k
Bruno Lobão‐Soares Brazil 21 462 0.8× 381 0.9× 246 0.7× 263 1.0× 114 1.0× 57 1.2k
Meredith A. Fox United States 14 469 0.9× 185 0.4× 259 0.7× 141 0.6× 83 0.7× 20 894
Noelle C. Anastasio United States 25 1.1k 2.0× 344 0.8× 634 1.7× 186 0.7× 115 1.0× 67 1.6k
Argel Aguilar‐Valles Canada 19 420 0.8× 293 0.7× 254 0.7× 132 0.5× 123 1.1× 31 1.2k
Arnauld Belmer Australia 21 626 1.1× 150 0.4× 404 1.1× 197 0.8× 178 1.5× 47 1.3k
Maria Bradley-Moore United States 6 684 1.3× 449 1.1× 411 1.1× 102 0.4× 50 0.4× 7 1.3k
Branimir Jernej Croatia 19 504 0.9× 151 0.4× 318 0.9× 191 0.8× 125 1.1× 47 1.1k
Kaori Koike Japan 14 873 1.6× 273 0.6× 361 1.0× 443 1.7× 154 1.3× 22 1.7k
Madeleine V. King United Kingdom 16 643 1.2× 211 0.5× 331 0.9× 170 0.7× 113 1.0× 29 1.2k

Countries citing papers authored by Pablo R. Moya

Since Specialization
Citations

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

Fields of papers citing papers by Pablo R. Moya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo R. Moya

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo R. Moya. A scholar is included among the top collaborators of Pablo R. Moya 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 R. Moya. Pablo R. Moya 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.
Tognarelli, Javier, et al.. (2025). Global distribution and impact of knockdown resistance mutations in Aedes aegypti on pyrethroid resistance. Parasites & Vectors. 18(1). 382–382.
2.
Schepers, Melissa, Assia Tiane, Vijay Kumar, et al.. (2025). EAAT3 modulation: A potential novel avenue towards remyelination in multiple sclerosis. Biomedicine & Pharmacotherapy. 186. 117960–117960. 1 indexed citations
3.
4.
Sotomayor‐Zárate, Ramón, et al.. (2024). Increased forebrain EAAT3 expression confers resilience to chronic stress. Journal of Neurochemistry. 169(1). e16216–e16216.
5.
6.
Chamorro-García, Alejandro, Alejandro H. Corvalán, Brigitte van Zundert, et al.. (2023). Protein kinase B (AKT) upregulation and Thy-1-αvβ3 integrin-induced phosphorylation of Connexin43 by activated AKT in astrogliosis. Journal of Neuroinflammation. 20(1). 5–5. 16 indexed citations
7.
Spaas, Jan, Melissa Schepers, Assia Tiane, et al.. (2021). Oxidative stress and impaired oligodendrocyte precursor cell differentiation in neurological disorders. Cellular and Molecular Life Sciences. 78(10). 4615–4637. 129 indexed citations
8.
Sotomayor‐Zárate, Ramón, et al.. (2021). Altered Grooming Syntax and Amphetamine-Induced Dopamine Release in EAAT3 Overexpressing Mice. Frontiers in Cellular Neuroscience. 15. 661478–661478. 10 indexed citations
9.
Moya, Pablo R., et al.. (2020). El maltrato infantil y su rol en el curso clínico de pacientes con trastorno bipolar. Revista médica de Chile. 148(2). 204–210. 4 indexed citations
10.
Wendland, Jens R., et al.. (2019). The Neuronal Glutamate Transporter EAAT3 in Obsessive-Compulsive Disorder. Frontiers in Pharmacology. 10. 1362–1362. 15 indexed citations
11.
Radke, Anna K., Elías Utreras, Ramón Sotomayor‐Zárate, et al.. (2018). Behavioral and synaptic alterations relevant to obsessive-compulsive disorder in mice with increased EAAT3 expression. Neuropsychopharmacology. 44(6). 1163–1173. 35 indexed citations
12.
Arriagada, Gloria, et al.. (2017). Neurochemical and behavioral characterization of neuronal glutamate transporter EAAT3 heterozygous mice. Biological Research. 50(1). 29–29. 11 indexed citations
13.
Sotomayor‐Zárate, Ramón, Raúl Vinet, Georgina M. Renard, et al.. (2013). Improving Amphetamine Therapeutic Selectivity: N,N‐dimethyl‐MTA has Dopaminergic Effects and does not Produce Aortic Contraction. Basic & Clinical Pharmacology & Toxicology. 114(5). 395–399. 4 indexed citations
14.
Moya, Pablo R., Jens R. Wendland, Liza M. Rubenstein, et al.. (2013). Common and rare alleles of the serotonin transporter gene, SLC6A4, associated with Tourette's disorder. Movement Disorders. 28(9). 1263–1270. 36 indexed citations
15.
Khaibullina, Alfia, Nicholas J. Kenyon, Martha Quezado, et al.. (2012). In a Model of Batten Disease, Palmitoyl Protein Thioesterase-1 Deficiency Is Associated with Brown Adipose Tissue and Thermoregulation Abnormalities. PLoS ONE. 7(11). e48733–e48733. 11 indexed citations
16.
Fox, Meredith A., Pablo R. Moya, Teresa J. Tolliver, et al.. (2012). Mutations in monoamine oxidase (MAO) genes in mice lead to hypersensitivity to serotonin-enhancing drugs: implications for drug side effects in humans. The Pharmacogenomics Journal. 13(6). 551–557. 10 indexed citations
17.
18.
Murphy, Dennis L., Meredith A. Fox, Kiara R. Timpano, et al.. (2008). How the serotonin story is being rewritten by new gene-based discoveries principally related to SLC6A4, the serotonin transporter gene, which functions to influence all cellular serotonin systems. Neuropharmacology. 55(6). 932–960. 169 indexed citations
19.
Wendland, Jens R., Pablo R. Moya, Matthew Kruse, et al.. (2007). A novel, putative gain-of-function haplotype at SLC6A4 associates with obsessive-compulsive disorder. Human Molecular Genetics. 17(5). 717–723. 107 indexed citations
20.

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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