Roberto A. Prado‐Alcalá

2.7k total citations
101 papers, 2.1k citations indexed

About

Roberto A. Prado‐Alcalá is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Roberto A. Prado‐Alcalá has authored 101 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Cognitive Neuroscience, 70 papers in Cellular and Molecular Neuroscience and 22 papers in Behavioral Neuroscience. Recurrent topics in Roberto A. Prado‐Alcalá's work include Memory and Neural Mechanisms (68 papers), Neuroscience and Neuropharmacology Research (61 papers) and Neurotransmitter Receptor Influence on Behavior (25 papers). Roberto A. Prado‐Alcalá is often cited by papers focused on Memory and Neural Mechanisms (68 papers), Neuroscience and Neuropharmacology Research (61 papers) and Neurotransmitter Receptor Influence on Behavior (25 papers). Roberto A. Prado‐Alcalá collaborates with scholars based in Mexico, United States and Netherlands. Roberto A. Prado‐Alcalá's co-authors include Gina L. Quirarte, Roy A. Wise, Sara E. Cruz-Morales, Paola C. Bello-Medina, Benno Roozendaal, Norma Serafín, Sofı́a Dı́az-Cintra, Gabriel Roldán, Selva Rivas-Arancibia and Magda Giòrdano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Roberto A. Prado‐Alcalá

98 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto A. Prado‐Alcalá Mexico 26 1.3k 1.3k 420 398 248 101 2.1k
Antonella Gasbarri Italy 22 1.1k 0.9× 993 0.8× 462 1.1× 273 0.7× 212 0.9× 51 2.0k
Luciana A. Izquierdo Brazil 28 1.4k 1.1× 1.1k 0.9× 559 1.3× 283 0.7× 229 0.9× 35 2.0k
Jociane de Carvalho Myskiw Brazil 25 1.1k 0.9× 1.1k 0.9× 447 1.1× 389 1.0× 399 1.6× 56 2.0k
Guy Sandner France 26 1.3k 1.0× 930 0.7× 456 1.1× 267 0.7× 393 1.6× 92 2.0k
Scott A. Heldt United States 23 894 0.7× 625 0.5× 461 1.1× 298 0.7× 186 0.8× 40 1.6k
Menahem Segal Israel 17 1.9k 1.5× 1.1k 0.9× 704 1.7× 250 0.6× 318 1.3× 24 2.6k
Corrado Bucherelli Italy 23 948 0.7× 928 0.7× 426 1.0× 329 0.8× 327 1.3× 52 1.7k
Fabricio H Do Monte Brazil 24 1.2k 0.9× 1.2k 1.0× 422 1.0× 490 1.2× 388 1.6× 28 2.1k
Stéphane Gaskin Canada 14 875 0.7× 811 0.6× 280 0.7× 303 0.8× 200 0.8× 20 1.6k
Jacques Micheau France 26 1.6k 1.2× 1.1k 0.9× 658 1.6× 397 1.0× 187 0.8× 56 2.4k

Countries citing papers authored by Roberto A. Prado‐Alcalá

Since Specialization
Citations

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

Fields of papers citing papers by Roberto A. Prado‐Alcalá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto A. Prado‐Alcalá. 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 Roberto A. Prado‐Alcalá. The network helps show where Roberto A. Prado‐Alcalá may publish in the future.

Co-authorship network of co-authors of Roberto A. Prado‐Alcalá

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto A. Prado‐Alcalá. A scholar is included among the top collaborators of Roberto A. Prado‐Alcalá 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 Roberto A. Prado‐Alcalá. Roberto A. Prado‐Alcalá 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
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Serafín, Norma, Martha Carranza, Carlos Arámburo, et al.. (2020). Differential Phosphorylation of the Glucocorticoid Receptor in Hippocampal Subregions Induced by Contextual Fear Conditioning Training. Frontiers in Behavioral Neuroscience. 14. 12–12. 10 indexed citations
4.
Serafín, Norma, et al.. (2018). Glucocorticoid interactions with the dorsal striatal endocannabinoid system in regulating inhibitory avoidance memory. Psychoneuroendocrinology. 99. 97–103. 15 indexed citations
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Quirarte, Gina L., et al.. (2015). Protein synthesis is not required for acquisition, consolidation, and extinction of high foot-shock active avoidance training. Behavioural Brain Research. 287. 8–14. 8 indexed citations
6.
Antaramián, Anaid, et al.. (2008). Enhanced inhibitory avoidance learning prevents the long-term memory-impairing effects of cycloheximide, a protein synthesis inhibitor. Neurobiology of Learning and Memory. 91(3). 310–314. 24 indexed citations
7.
Vargas-Pérez, Héctor, Laurie H. L. Sellings, Raúl G. Paredes, Roberto A. Prado‐Alcalá, & José-Luis Dı́az. (2008). Reinforcement of Wheel Running in Balb/c Mice: Role of Motor Activity and Endogenous Opioids. Journal of Motor Behavior. 40(6). 587–593. 13 indexed citations
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Prado‐Alcalá, Roberto A., et al.. (2006). Amygdala or hippocampus inactivation after retrieval induces temporary memory deficit☆. Neurobiology of Learning and Memory. 86(2). 144–149. 39 indexed citations
11.
Quirarte, Gina L., et al.. (2003). Enhanced inhibitory avoidance learning prevents the memory-impairing effects of post-training hippocampal inactivation. Experimental Brain Research. 153(3). 400–402. 33 indexed citations
12.
Quirarte, Gina L., et al.. (2002). Effects of Lesions of Hippocampal Fields CA1 and CA3 on Acquisition of Inhibitory Avoidance. Neuropsychobiology. 46(2). 97–103. 27 indexed citations
13.
Prado‐Alcalá, Roberto A., et al.. (1999). Effects of pre-training systemic administration of p-chloroamphetamine on inhibitory avoidance trained with high and low foot-shock. Revista mexicana de psicología. 16(2). 211–215. 6 indexed citations
14.
Roldán, Gabriel, et al.. (1997). Selective M1 muscarinic receptor antagonists disrupt memory consolidation of inhibitory avoidance in rats. Neuroscience Letters. 230(2). 93–96. 72 indexed citations
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Quirarte, Gina L., et al.. (1994). Effects of central muscarinic blockade on passive avoidance: Anterograde amnesia, state dependency, or both?. Behavioral and Neural Biology. 62(1). 15–20. 23 indexed citations
16.
Cruz-Morales, Sara E., et al.. (1991). Time-dependent effects of cholinergic blockade of the striatum on memory. Neuroscience Letters. 122(1). 79–82. 24 indexed citations
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Cruz-Morales, Sara E., et al.. (1990). Is acetylcholine involved in memory consolidation of over-reinforced learning?. Brain Research Bulletin. 24(6). 725–727. 29 indexed citations
18.
Prado‐Alcalá, Roberto A., et al.. (1985). Injections of atropine into the caudate nucleus impair the acquisition and the maintenance of passive avoidance. Pharmacology Biochemistry and Behavior. 22(2). 243–247. 33 indexed citations
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Prado‐Alcalá, Roberto A., et al.. (1973). Brief flooding and counterconditioning as treatments for persisting avoidance. Physiological Psychology. 1(4). 389–393. 7 indexed citations
20.
Prado‐Alcalá, Roberto A., et al.. (1973). Correlation of evoked potentials in the caudate nucleus and conditioned motor responses☆. Physiology & Behavior. 10(6). 1005–1009. 10 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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