Soledad de Olmos

460 total citations
19 papers, 370 citations indexed

About

Soledad de Olmos is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Soledad de Olmos has authored 19 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 5 papers in Behavioral Neuroscience. Recurrent topics in Soledad de Olmos's work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (8 papers) and Stress Responses and Cortisol (5 papers). Soledad de Olmos is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (8 papers) and Stress Responses and Cortisol (5 papers). Soledad de Olmos collaborates with scholars based in Argentina, United States and Spain. Soledad de Olmos's co-authors include Alfredo Lorenzo, José de Olmos, Luís Heredia, Matthias Staufenbiel, Pablo Helguera, Jorge Busciglio, Frank M. LaFerla, Alfredo Cáceres, J.S. de Olmos and Lennart Heimer and has published in prestigious journals such as Journal of Neuroscience, The Journal of Comparative Neurology and Neuroscience.

In The Last Decade

Soledad de Olmos

18 papers receiving 367 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Soledad de Olmos 203 109 94 82 61 19 370
Kuei-Sen Hsu 265 1.3× 187 1.7× 66 0.7× 61 0.7× 35 0.6× 10 446
Sören Westerholz 174 0.9× 170 1.6× 85 0.9× 61 0.7× 31 0.5× 14 459
Berta Sunyer 254 1.3× 194 1.8× 108 1.1× 148 1.8× 39 0.6× 13 526
Chiung-Chun Huang 241 1.2× 165 1.5× 40 0.4× 58 0.7× 34 0.6× 8 382
Thomas Lorivel 142 0.7× 128 1.2× 118 1.3× 46 0.6× 62 1.0× 19 412
Avia Merenlender‐Wagner 109 0.5× 124 1.1× 66 0.7× 47 0.6× 53 0.9× 8 404
Annalisa Manca 187 0.9× 115 1.1× 71 0.8× 40 0.5× 20 0.3× 14 334
Marangelie Criado‐Marrero 87 0.4× 149 1.4× 86 0.9× 56 0.7× 52 0.9× 19 417
Leslie Brown 301 1.5× 198 1.8× 103 1.1× 47 0.6× 28 0.5× 24 473
Justin M. Farook 207 1.0× 224 2.1× 49 0.5× 38 0.5× 30 0.5× 17 420

Countries citing papers authored by Soledad de Olmos

Since Specialization
Citations

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

Fields of papers citing papers by Soledad de Olmos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soledad de Olmos. 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 Soledad de Olmos. The network helps show where Soledad de Olmos may publish in the future.

Co-authorship network of co-authors of Soledad de Olmos

This figure shows the co-authorship network connecting the top 25 collaborators of Soledad de Olmos. A scholar is included among the top collaborators of Soledad de Olmos 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 Soledad de Olmos. Soledad de Olmos 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.
Olmos, Soledad de, et al.. (2022). Cholesterol‐24‐hydroxylase (CYP46) in the old brain: Analysis of positive populations and factors triggering its expression in astrocytes. The Journal of Comparative Neurology. 531(3). 486–499. 5 indexed citations
2.
Olmos, Soledad de & Alfredo Lorenzo. (2022). Developing the theory of the extended amygdala with the use of the cupric-silver technique. Journal of the History of the Neurosciences. 32(1). 19–38.
3.
Olmos, Soledad de, Mariel Marder, Lionel M. Igaz, et al.. (2021). Colony‐stimulating factor‐1 receptor inhibition attenuates microgliosis and myelin loss but exacerbates neurodegeneration in the chronic cuprizone model. Journal of Neurochemistry. 160(6). 643–661. 11 indexed citations
4.
Olmos, Soledad de, et al.. (2020). Retrograde and anterograde contextual fear amnesia induced by selective elimination of layer IV-Va neurons in the granular retrosplenial cortex (A29). Neurobiology of Learning and Memory. 171. 107229–107229. 6 indexed citations
5.
Olmos, Soledad de, et al.. (2019). Restraint stress exacerbates cell degeneration induced by acute binge ethanol in the adolescent, but not in the adult or middle-aged, brain. Behavioural Brain Research. 364. 317–327. 7 indexed citations
6.
Olmos, Soledad de, et al.. (2019). Fear-context association during memory retrieval requires input from granular to dysgranular retrosplenial cortex. Neurobiology of Learning and Memory. 163. 107036–107036. 8 indexed citations
7.
Olmos, Soledad de, et al.. (2018). Neuronal Degeneration in Mice Induced by an Epidemic Strain of Saint Louis Encephalitis Virus Isolated in Argentina. Frontiers in Microbiology. 9. 1181–1181. 2 indexed citations
8.
9.
Olmos, Soledad de, et al.. (2016). Long-term ethanol self-administration induces ΔFosB in male and female adolescent, but not in adult, Wistar rats. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 74. 15–30. 29 indexed citations
10.
Giachero, Marcelo, et al.. (2015). Selective neuronal degeneration in the retrosplenial cortex impairs the recall of contextual fear memory. Brain Structure and Function. 221(4). 1861–1875. 10 indexed citations
11.
Olmos, J.S. de, et al.. (2010). Involvement of AMPA/kainate-excitotoxicity in MK801-induced neuronal death in the retrosplenial cortex. Neuroscience. 169(2). 720–732. 8 indexed citations
12.
Olmos, Soledad de, et al.. (2010). Comparative analyses of the neurodegeneration induced by the non-competitive NMDA-receptor-antagonist drug MK801 in mice and rats. Neurotoxicology and Teratology. 32(5). 542–550. 16 indexed citations
13.
14.
Barboza, Gloria E., Carlos A. Beltramino, Luiz R.G. Britto, José de Olmos, & Soledad de Olmos. (2009). Effect of retinal ablation on the expression of calbindin D28k and GABA in the chick optic tectum. European Journal of Histochemistry. 47(4). 365–365. 3 indexed citations
15.
Olmos, Soledad de, et al.. (2008). Sex differences and influence of gonadal hormones on MK801-induced neuronal degeneration in the granular retrosplenial cortex of the rat. Brain Structure and Function. 213(1-2). 229–238. 21 indexed citations
16.
Velázquez, Esther, et al.. (2007). Increased rewarding properties of morphine in perinatally protein-malnourished rats. Neuroscience. 150(2). 449–458. 17 indexed citations
17.
Heredia, Luís, Pablo Helguera, Soledad de Olmos, et al.. (2006). Phosphorylation of Actin-Depolymerizing Factor/Cofilin by LIM-Kinase Mediates Amyloid  -Induced Degeneration: A Potential Mechanism of Neuronal Dystrophy in Alzheimer's Disease. Journal of Neuroscience. 26(24). 6533–6542. 153 indexed citations
18.
Olmos, Soledad de, et al.. (2003). NMDA-Antagonist MK-801-induced neuronal degeneration in Wistar rat brain detected by the Amino-Cupric-Silver method. Experimental and Toxicologic Pathology. 54(4). 319–334. 35 indexed citations
19.
Olmos, Soledad de, et al.. (2003). Strain and colony differences in the neurotoxic sequelae of MK-801 visualized with the amino-cupric-silver method. Experimental and Toxicologic Pathology. 55(4). 287–294. 12 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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