Maithe Arruda‐Carvalho

1.4k total citations
21 papers, 1.0k citations indexed

About

Maithe Arruda‐Carvalho is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Maithe Arruda‐Carvalho has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Social Psychology. Recurrent topics in Maithe Arruda‐Carvalho's work include Memory and Neural Mechanisms (12 papers), Neuroendocrine regulation and behavior (9 papers) and Neuroscience and Neuropharmacology Research (9 papers). Maithe Arruda‐Carvalho is often cited by papers focused on Memory and Neural Mechanisms (12 papers), Neuroendocrine regulation and behavior (9 papers) and Neuroscience and Neuropharmacology Research (9 papers). Maithe Arruda‐Carvalho collaborates with scholars based in Canada, United States and Brazil. Maithe Arruda‐Carvalho's co-authors include Paul W. Frankland, Roger L. Clem, Sheena A. Josselyn, Katherine G. Akers, Shaoyu Ge, Yan Gu, Jia Wang, Stephen Janoschka, Masanori Sakaguchi and Kirstie A. Cummings and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Scientific Reports.

In The Last Decade

Maithe Arruda‐Carvalho

19 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maithe Arruda‐Carvalho Canada 13 519 479 430 211 183 21 1.0k
Axel Guskjolen Canada 13 461 0.9× 468 1.0× 483 1.1× 152 0.7× 156 0.9× 16 1.0k
Ramón Guirado Spain 21 760 1.5× 327 0.7× 463 1.1× 310 1.5× 362 2.0× 34 1.4k
Alonso Martínez-Canabal Mexico 11 446 0.9× 494 1.0× 567 1.3× 108 0.5× 163 0.9× 18 1.2k
Minee-Liane Choi United States 1 598 1.2× 452 0.9× 829 1.9× 130 0.6× 219 1.2× 2 1.3k
Laure A. Farnbauch United States 7 339 0.7× 177 0.4× 451 1.0× 169 0.8× 252 1.4× 8 899
María Ángeles Gómez‐Climent Spain 18 528 1.0× 223 0.5× 452 1.1× 176 0.8× 182 1.0× 21 874
Javier Gilabert‐Juan Spain 16 401 0.8× 186 0.4× 200 0.5× 234 1.1× 245 1.3× 24 842
Laure Belnoue France 10 267 0.5× 161 0.3× 375 0.9× 163 0.8× 182 1.0× 13 791
Diano F. Marrone Canada 18 946 1.8× 743 1.6× 509 1.2× 101 0.5× 237 1.3× 46 1.4k
David A. Townsend United States 7 362 0.7× 286 0.6× 535 1.2× 101 0.5× 112 0.6× 7 849

Countries citing papers authored by Maithe Arruda‐Carvalho

Since Specialization
Citations

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

Fields of papers citing papers by Maithe Arruda‐Carvalho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maithe Arruda‐Carvalho. 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 Maithe Arruda‐Carvalho. The network helps show where Maithe Arruda‐Carvalho may publish in the future.

Co-authorship network of co-authors of Maithe Arruda‐Carvalho

This figure shows the co-authorship network connecting the top 25 collaborators of Maithe Arruda‐Carvalho. A scholar is included among the top collaborators of Maithe Arruda‐Carvalho 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 Maithe Arruda‐Carvalho. Maithe Arruda‐Carvalho 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.
Botterill, Justin J., et al.. (2024). Tyrosine Hydroxylase–Positive Nucleus Accumbens Neurons Influence Delay Discounting in a Mouse T-Maze Task. eNeuro. 11(12). ENEURO.0487–24.2024.
2.
Botterill, Justin J., et al.. (2024). Dorsal peduncular cortex activity modulates affective behavior and fear extinction in mice. Neuropsychopharmacology. 49(6). 993–1006. 6 indexed citations
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5.
Arruda‐Carvalho, Maithe, et al.. (2021). Developmental emergence of persistent memory for contextual and auditory fear in mice. Learning & Memory. 28(11). 414–421. 6 indexed citations
6.
Arruda‐Carvalho, Maithe, et al.. (2020). Developmental onset distinguishes three types of spontaneous recognition memory in mice. Scientific Reports. 10(1). 10612–10612. 35 indexed citations
7.
Arruda‐Carvalho, Maithe, et al.. (2020). Sex Differences in the Development of the Rodent Corticolimbic System. Frontiers in Neuroscience. 14. 583477–583477. 51 indexed citations
8.
Arruda‐Carvalho, Maithe, et al.. (2020). Ontogeny of spontaneous recognition memory in rodents. Neurobiology of Learning and Memory. 177. 107361–107361. 10 indexed citations
9.
Arruda‐Carvalho, Maithe, et al.. (2017). Optogenetic Examination of Prefrontal-Amygdala Synaptic Development. Journal of Neuroscience. 37(11). 2976–2985. 93 indexed citations
10.
Arruda‐Carvalho, Maithe & Roger L. Clem. (2015). Prefrontal-amygdala fear networks come into focus. Frontiers in Systems Neuroscience. 9. 145–145. 66 indexed citations
11.
Arruda‐Carvalho, Maithe, Leonardo Restivo, Axel Guskjolen, et al.. (2014). Conditional Deletion of α-CaMKII Impairs Integration of Adult-Generated Granule Cells into Dentate Gyrus Circuits and Hippocampus-Dependent Learning. Journal of Neuroscience. 34(36). 11919–11928. 26 indexed citations
12.
Arruda‐Carvalho, Maithe, Katherine G. Akers, Axel Guskjolen, et al.. (2014). Posttraining Ablation of Adult-Generated Olfactory Granule Cells Degrades Odor–Reward Memories. Journal of Neuroscience. 34(47). 15793–15803. 22 indexed citations
13.
Arruda‐Carvalho, Maithe & Roger L. Clem. (2014). Pathway-Selective Adjustment of Prefrontal-Amygdala Transmission during Fear Encoding. Journal of Neuroscience. 34(47). 15601–15609. 92 indexed citations
14.
Akers, Katherine G., Maithe Arruda‐Carvalho, Sheena A. Josselyn, & Paul W. Frankland. (2012). Ontogeny of contextual fear memory formation, specificity, and persistence in mice. Learning & Memory. 19(12). 598–604. 60 indexed citations
15.
Gu, Yan, Maithe Arruda‐Carvalho, Jia Wang, et al.. (2012). Optical controlling reveals time-dependent roles for adult-born dentate granule cells. Nature Neuroscience. 15(12). 1700–1706. 334 indexed citations
16.
Arruda‐Carvalho, Maithe, Masanori Sakaguchi, Katherine G. Akers, Sheena A. Josselyn, & Paul W. Frankland. (2011). Posttraining Ablation of Adult-Generated Neurons Degrades Previously Acquired Memories. Journal of Neuroscience. 31(42). 15113–15127. 138 indexed citations
17.
Akers, Katherine G., et al.. (2011). Impact of early adverse experience on complexity of adult-generated neurons. Translational Psychiatry. 1(8). e35–e35. 25 indexed citations
18.
Ribas, Vinícius Toledo, Maithe Arruda‐Carvalho, Rafael Linden, & Luciana B. Chiarini. (2011). Early c-Jun N-terminal kinase-dependent phosphorylation of activating transcription factor-2 is associated with degeneration of retinal ganglion cells. Neuroscience. 180. 64–74. 6 indexed citations
19.
Sakaguchi, Masanori, Maithe Arruda‐Carvalho, Na Kang, et al.. (2011). Impaired spatial and contextual memory formation in galectin-1 deficient mice. Molecular Brain. 4(1). 33–33. 22 indexed citations
20.
Arruda‐Carvalho, Maithe, Brian Njaine, Mariana S. Silveira, Rafael Linden, & Luciana B. Chiarini. (2007). Hop/STI1 modulates retinal proliferation and cell death independent of PrPC. Biochemical and Biophysical Research Communications. 361(2). 474–480. 21 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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