Mario A. Laborda

685 citations
40 papers · 396 indexed · h-index 12
Topics
Memory and Neural Mechanisms (27 papers)Stress Responses and Cortisol (13 papers)Neuroendocrine regulation and behavior (9 papers)
Journals
SHILAP Revista de lepidopterologíaCurrent Directions in Psychological ScienceFrontiers in Psychology

In The Last Decade

Mario A. Laborda

38 papers receiving 380 citations

Peers

Mario A. Laborda
Comparison fields: 5 of 62
  • Cognitive Neuroscience 303
  • Behavioral Neuroscience 116
  • Social Psychology 113
  • Cellular and Molecular Neuroscience 108
  • Experimental and Cognitive Psychology 84
Replace Cara L. Buck with:
Cara L. Buck United States
Lycia D. de Voogd Netherlands
Gonzalo Míguez Chile
María M. Diehl United States
Nadia Justel Argentina
Elyse L. Morin United States
Marisela Hernández‐González Mexico
Robert V. McDonald Canada
Edith Brignoni‐Pérez United States
Shira Meir Drexler Germany
Mario A. Laborda relative to Cara L. Buck United States Cara L. Buck's profile →
Citations per field
00.5×1.5×
Cara L. Buck · 1×
Citations per year

Countries citing papers authored by Mario A. Laborda

Since Specialization
Citations

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

Fields of papers citing papers by Mario A. Laborda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario A. Laborda. 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 Mario A. Laborda. The network helps show where Mario A. Laborda may publish in the future.

Co-authorship network of co-authors of Mario A. Laborda

This figure shows the co-authorship network connecting the top 25 collaborators of Mario A. Laborda. A scholar is included among the top collaborators of Mario A. Laborda 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 Mario A. Laborda. Mario A. Laborda 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
#WorkIndexed citations
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9
Extinction cues do not reduce recovery of extinguished conditioned fear in humans
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10 7
11 12
12 5
13 6
14 15
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16 26
17 40
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19 11
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About Mario A. Laborda

Mario A. Laborda is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 40 papers that have together received 396 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (27 papers), Stress Responses and Cortisol (13 papers) and Neuroendocrine regulation and behavior (9 papers). The work is most often cited by research in Behavioral Neuroscience (116 citations), Cognitive Neuroscience (303 citations) and Experimental and Cognitive Psychology (84 citations). Mario A. Laborda has collaborated with scholars based in Chile, United States and Argentina. Frequent co-authors include Ralph R. Miller, Gonzalo Míguez, Casey A. Schofield, Emily Johnson, Meredith E. Coles, Jessica Schubert, Paula Repetto, Marcela Cornejo, Gricel Orellana and Francisca P. Díaz. Their work appears in journals such as SHILAP Revista de lepidopterología, Current Directions in Psychological Science and Frontiers in Psychology.

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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