Maria Moscoso‐Castro

452 total citations
8 papers, 367 citations indexed

About

Maria Moscoso‐Castro is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Maria Moscoso‐Castro has authored 8 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Maria Moscoso‐Castro's work include Neuroscience and Neuropharmacology Research (3 papers), Stress Responses and Cortisol (2 papers) and Adenosine and Purinergic Signaling (2 papers). Maria Moscoso‐Castro is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Stress Responses and Cortisol (2 papers) and Adenosine and Purinergic Signaling (2 papers). Maria Moscoso‐Castro collaborates with scholars based in Spain, China and Belgium. Maria Moscoso‐Castro's co-authors include Olga Valverde, Irene Gracia‐Rubio, Óscar J. Pozo, Josep Marcos, Roser Nadal, Francisco Ciruela, Can Lei, Jianqing Xu, Jijie Gu and Zhuozhi Wang and has published in prestigious journals such as PLoS ONE, Journal of Neurochemistry and Neuropharmacology.

In The Last Decade

Maria Moscoso‐Castro

8 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Moscoso‐Castro Spain 8 92 92 91 69 68 8 367
Elaine O’Loughlin United States 8 91 1.0× 39 0.4× 58 0.6× 59 0.9× 37 0.5× 10 471
Margit G. Proescholdt United States 6 73 0.8× 39 0.4× 74 0.8× 98 1.4× 34 0.5× 8 387
Laura Susick United States 11 102 1.1× 22 0.2× 72 0.8× 73 1.1× 31 0.5× 27 318
Liz Weber Switzerland 6 78 0.8× 46 0.5× 127 1.4× 87 1.3× 154 2.3× 6 416
San Nan Yang Taiwan 11 86 0.9× 146 1.6× 83 0.9× 215 3.1× 72 1.1× 20 499
Min-Jeong Kim United States 6 95 1.0× 15 0.2× 37 0.4× 44 0.6× 6 0.1× 8 386
Upendra Singh United Kingdom 11 125 1.4× 17 0.2× 125 1.4× 114 1.7× 39 0.6× 20 418
Cecilia Higgs United States 6 116 1.3× 20 0.2× 58 0.6× 51 0.7× 9 0.1× 8 419
R.B. Lu Taiwan 7 186 2.0× 34 0.4× 15 0.2× 92 1.3× 13 0.2× 12 377
Łukasz Drzyzga Poland 7 63 0.7× 7 0.1× 100 1.1× 61 0.9× 22 0.3× 12 369

Countries citing papers authored by Maria Moscoso‐Castro

Since Specialization
Citations

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

Fields of papers citing papers by Maria Moscoso‐Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Moscoso‐Castro. 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 Maria Moscoso‐Castro. The network helps show where Maria Moscoso‐Castro may publish in the future.

Co-authorship network of co-authors of Maria Moscoso‐Castro

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

All Works

8 of 8 papers shown
1.
Wang, Zhuozhi, et al.. (2020). Biology drives the discovery of bispecific antibodies as innovative therapeutics. PubMed. 3(1). 18–62. 78 indexed citations
2.
Cantacorps, Lídia, Silvia Alfonso‐Loeches, Maria Moscoso‐Castro, et al.. (2017). Maternal alcohol binge drinking induces persistent neuroinflammation associated with myelin damage and behavioural dysfunctions in offspring mice. Neuropharmacology. 123. 368–384. 49 indexed citations
3.
Moscoso‐Castro, Maria, Marc López‐Cano, Irene Gracia‐Rubio, Francisco Ciruela, & Olga Valverde. (2017). Cognitive impairments associated with alterations in synaptic proteins induced by the genetic loss of adenosine A 2A receptors in mice. Neuropharmacology. 126. 48–57. 27 indexed citations
4.
Gracia‐Rubio, Irene, et al.. (2016). Maternal Separation Impairs Cocaine-Induced Behavioural Sensitization in Adolescent Mice. PLoS ONE. 11(12). e0167483–e0167483. 32 indexed citations
5.
Moscoso‐Castro, Maria, Irene Gracia‐Rubio, Francisco Ciruela, & Olga Valverde. (2016). Genetic blockade of adenosine A2A receptors induces cognitive impairments and anatomical changes related to psychotic symptoms in mice. European Neuropsychopharmacology. 26(7). 1227–1240. 23 indexed citations
6.
Gracia‐Rubio, Irene, Maria Moscoso‐Castro, Óscar J. Pozo, et al.. (2015). Maternal separation induces neuroinflammation and long-lasting emotional alterations in mice. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 65. 104–117. 113 indexed citations
7.
Johansson, Emily M., María S. García‐Gutiérrez, Maria Moscoso‐Castro, Jorge Manzanares, & Olga Valverde. (2015). Reduced Contextual Discrimination following Alcohol Consumption or MDMA Administration in Mice. PLoS ONE. 10(11). e0142978–e0142978. 12 indexed citations
8.
Moscoso‐Castro, Maria, et al.. (2013). Memory impairment and hippocampus specific protein oxidation induced by ethanol intake and 3, 4‐Methylenedioxymethamphetamine (MDMA) in mice. Journal of Neurochemistry. 125(5). 736–746. 33 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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