Alejandro Múnera

691 total citations
30 papers, 543 citations indexed

About

Alejandro Múnera is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Alejandro Múnera has authored 30 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Alejandro Múnera's work include Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neural dynamics and brain function (8 papers). Alejandro Múnera is often cited by papers focused on Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neural dynamics and brain function (8 papers). Alejandro Múnera collaborates with scholars based in Colombia, Spain and Germany. Alejandro Múnera's co-authors include José M. Delgado‐García, Agnès Gruart, Marisol R. Lamprea, Marı́a-Dolores Muñoz, Gloria Patricia Cardona‐Gómez, Ángela Fontán‐Lozano, Ángel Manuel Carrión, J. M. Delgado-García, Rodrigo Fernández‐Mas and Rocío Romero‐Granados and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Alejandro Múnera

29 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Múnera Colombia 14 272 184 161 119 91 30 543
Noelia Madroñal Spain 10 360 1.3× 176 1.0× 169 1.0× 122 1.0× 68 0.7× 12 542
Christopher Barkus United Kingdom 7 349 1.3× 153 0.8× 191 1.2× 47 0.4× 76 0.8× 7 591
Meng Tian China 12 249 0.9× 139 0.8× 163 1.0× 53 0.4× 64 0.7× 31 535
Rodrigo Moraga‐Amaro Chile 12 245 0.9× 101 0.5× 290 1.8× 126 1.1× 128 1.4× 27 692
Yiu Chung Tse Canada 14 255 0.9× 109 0.6× 170 1.1× 143 1.2× 107 1.2× 20 633
Felipe Siciliani Scalco Brazil 9 224 0.8× 161 0.9× 103 0.6× 57 0.5× 80 0.9× 9 461
Gilyana Borlikova United Kingdom 10 324 1.2× 207 1.1× 138 0.9× 96 0.8× 94 1.0× 12 578
Tara Teppen United States 16 308 1.1× 99 0.5× 395 2.5× 96 0.8× 77 0.8× 19 743
О. Е. Зубарева Russia 16 397 1.5× 91 0.5× 256 1.6× 112 0.9× 64 0.7× 57 669
Qiang-Long You China 11 189 0.7× 101 0.5× 120 0.7× 80 0.7× 70 0.8× 14 451

Countries citing papers authored by Alejandro Múnera

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Múnera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Múnera. 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 Alejandro Múnera. The network helps show where Alejandro Múnera may publish in the future.

Co-authorship network of co-authors of Alejandro Múnera

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Múnera. A scholar is included among the top collaborators of Alejandro Múnera 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 Alejandro Múnera. Alejandro Múnera 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.
Contreras, Ana, Alejandro Múnera, Agnès Gruart, et al.. (2023). Impairments in hippocampal oscillations accompany the loss of LTP induced by GIRK activity blockade. Neuropharmacology. 238. 109668–109668. 7 indexed citations
2.
Valderrama, Mario, et al.. (2023). BOARD-FTD-PACC: a graphical user interface for the synaptic and cross-frequency analysis derived from neural signals. Brain Informatics. 10(1). 12–12. 1 indexed citations
3.
Múnera, Alejandro, et al.. (2021). Facial Nerve Axotomy Induces Changes on Hippocampal CA3-to-CA1 Long-term Synaptic Plasticity. Neuroscience. 475. 197–205. 3 indexed citations
4.
5.
Múnera, Alejandro, et al.. (2017). Overtraining modifies spatial memory susceptibility to corticosterone administration. Neurobiology of Learning and Memory. 145. 232–239. 2 indexed citations
6.
Lamprea, Marisol R., et al.. (2016). Histone deacetylase inhibition abolishes stress-induced spatial memory impairment. Neurobiology of Learning and Memory. 134. 328–338. 7 indexed citations
7.
Lamprea, Marisol R., et al.. (2016). Vibrissal paralysis produces increased corticosterone levels and impairment of spatial memory retrieval. Behavioural Brain Research. 320. 58–66. 3 indexed citations
8.
Torres‐Berrío, Angélica, et al.. (2015). Acute restraint stress and corticosterone transiently disrupts novelty preference in an object recognition task. Behavioural Brain Research. 291. 60–66. 34 indexed citations
9.
Nava-Mesa, Mauricio O., Marisol R. Lamprea, & Alejandro Múnera. (2013). Divergent short- and long-term effects of acute stress in object recognition memory are mediated by endogenous opioid system activation. Neurobiology of Learning and Memory. 106. 185–192. 25 indexed citations
10.
Múnera, Alejandro, et al.. (2012). Peripheral facial nerve lesions induce changes in the firing properties of primary motor cortex layer 5 pyramidal cells. Neuroscience. 223. 140–151. 14 indexed citations
11.
Lamprea, Marisol R., et al.. (2010). EL ESTRÉS AGUDO INTERFIERE CON LA EVOCACIÓN Y PROMUEVE LA EXTINCIÓN DE LA MEMORIA ESPACIAL EN EL LABERINTO DE BARNES. Acta Biológica Colombiana. 15(1). 207–222. 5 indexed citations
12.
Lamprea, Marisol R., et al.. (2010). High stress interfers with evocation and promotes extintion of spatial memory in the Barnes maze. Acta Biológica Colombiana. 15(1). 207–222. 1 indexed citations
13.
Lamprea, Marisol R., et al.. (2010). Characterizing spatial extinction in an abbreviated version of the Barnes maze. Behavioural Processes. 86(1). 30–38. 17 indexed citations
14.
Moreno, Claudia M., et al.. (2010). Vibrissal paralysis unveils a preference for textural rather than positional novelty in the one-trial object recognition task in rats. Behavioural Brain Research. 211(2). 229–235. 12 indexed citations
15.
Múnera, Alejandro, et al.. (2007). Evaluación de preferencia por la forma o la textura de dos tipos de objetos en ratas Wistar. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Mora, Liliana, et al.. (2005). Efectos de la administración sistémica de escopolamina en una tarea de reconocimiento de objetos. IATREIA. 18. 60.
17.
Múnera, Alejandro, et al.. (2005). Efectos del estrés sobre el aprendizaje espacila, la conducta emociaonal y los procesos atencionales. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Fontán‐Lozano, Ángela, et al.. (2005). Cholinergic septo-hippocampal innervation is required for trace eyeblink classical conditioning. Learning & Memory. 12(6). 557–563. 20 indexed citations
19.
Múnera, Alejandro, et al.. (2004). Classical conditioning of eyelid and mystacial vibrissae responses in conscious mice. Learning & Memory. 11(6). 724–726. 11 indexed citations
20.
Múnera, Alejandro, Agnès Gruart, Marı́a-Dolores Muñoz, & José M. Delgado‐García. (2000). Scopolamine impairs information processing in the hippocampus and performance of a learned eyeblink response in alert cats. Neuroscience Letters. 292(1). 33–36. 27 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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