Alejandro Múnera

703 citations
31 papers · 565 · h-index 14

Impact in

Papers in

Alejandro Múnera

30 papers receiving 556 citations

Peers

Alejandro Múnera
Comparison fields: 5 of 74
  • Behavioral Neuroscience 73
  • Developmental Neuroscience 62
  • Cellular and Molecular Neuroscience 256
  • Neurology 109
  • Biological Psychiatry 27
Replace Kristen M. Boyt with:
Kristen M. Boyt United States
Tomáš Petrásek Czechia
Noelia Madroñal Spain
Daniel S. Kerr Brazil
Meng Tian China
Edwin J. Barea-Rodrı́guez United States
Ciaran Faherty United States
Thomas Schiffelholz Germany
Chenghui Song United States
William Almaguer‐Melian Cuba
Alejandro Múnera relative to Kristen M. Boyt United States Kristen M. Boyt's profile →
Citations per field
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Kristen M. Boyt · 1×
Citations per year

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-authors

The 22 scholars most cited alongside Alejandro Múnera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alejandro Múnera Line = papers co-authored together Alejandro Múnera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200895
2 200191
3 201558
4 201537
5 201933
6 202129
7 201328
8 200026
9 200522
10 201018
11 201514
12 200714
13 201214
14 202013
15 201013
16 200411
17 20169
18 20237
19 20117
20 20126

About Alejandro Múnera

Alejandro Múnera is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience and Social Psychology, having authored 31 papers that have together received 565 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Neural dynamics and brain function (8 papers), Stress Responses and Cortisol (5 papers), Alzheimer's disease research and treatments (3 papers), Neuroscience and Neural Engineering (3 papers), Nerve injury and regeneration (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Behavioral Neuroscience (73 citations), Developmental Neuroscience (62 citations), Cellular and Molecular Neuroscience (256 citations), Neurology (109 citations) and Biological Psychiatry (27 citations). Alejandro Múnera has collaborated with scholars based in Colombia, Spain and Germany. Frequent co-authors include José M. Delgado‐García, Marisol R. Lamprea, Agnès Gruart, Marı́a-Dolores Muñoz, Gloria Patricia Cardona‐Gómez, Ángela Fontán‐Lozano, Ángel Manuel Carrión, Rodrigo Fernández‐Mas, J. M. Delgado-García and Rocío Romero‐Granados. Their work appears in journals such as Neurobiology of Learning and Memory, Learning & Memory, Behavioural Brain Research, Neuroscience and Journal of Neurophysiology.

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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