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Neuroscience
Brazil
2026

D-Index & Metrics

Neuroscience

D-Index
66
Citations
15693
World Ranking
3007
National Ranking
14

Martín Cammarota publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Martín Cammarota sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 182 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Martín Cammarota D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Martín Cammarota sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 66 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Neuroscience in Brazil Leader Award
  • 2025 - Research.com Neuroscience in Brazil Leader Award
  • 2023 - Research.com Neuroscience in Brazil Leader Award
  • 2022 - Research.com Neuroscience in Brazil Leader Award

Overview

Martín Cammarota is affiliated with the Federal University of Rio Grande do Norte in Brazil. Their research is centered on neuroscience, with a principal focus on cognitive neuroscience and cellular and molecular neuroscience. Additional fields of study include neurology, developmental neuroscience, and social psychology.

The scientist's work addresses key topics within neuroscience, including:

  • Memory and Neural Mechanisms
  • Neuroscience and Neuropharmacology Research
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Neurogenesis and Neuroplasticity Mechanisms
  • Neural Dynamics and Brain Function
  • Neuroendocrine Regulation and Behavior
  • Memory Processes and Influences

Martín Cammarota has published extensively in various venues, particularly in journals related to neuroscience and behavioral research. Frequent publication venues include:

  • Scientific Reports
  • Learning & Memory
  • Molecular Brain
  • Frontiers in Behavioral Neuroscience
  • Journal of Neuroscience

Their recent papers illustrate a focus on memory processes, neural oscillations, and biochemical mechanisms involved in memory destabilization and reconsolidation. Selected recent publications include:

  • Cross-Frequency Phase-Amplitude Coupling between Hippocampal Theta and Gamma Oscillations during Recall Destabilizes Memory and Renders It Susceptible to Reconsolidation Disruption, 2020, Journal of Neuroscience
  • Dopamine controls whether new declarative information updates reactivated memories through reconsolidation, 2021, Proceedings of the National Academy of Sciences
  • GluN2B and GluN2A-containing NMDAR are differentially involved in extinction memory destabilization and restabilization during reconsolidation, 2021, Scientific Reports
  • mTOR inhibition impairs extinction memory reconsolidation, 2020, Learning & Memory
  • NMDARs control object recognition memory destabilization and reconsolidation, 2023, Brain Research Bulletin

Collaboration is a significant component of their work, with frequent coauthors including Andressa Radiske, Janine I. Rossato, María Carolina González, Lia R. Bevilaqua, and Sergio Conde-Ocazionez. These partnerships contribute to research in memory mechanisms and neuropharmacology.

Best Publications

  • BDNF is essential to promote persistence of long-term memory storage.

    Pedro Bekinschtein;Martín Cammarota;Cynthia Katche;Leandro Slipczuk

  • Physiology of the Prion Protein

    Rafael Linden;Vilma R. Martins;Marco A. M. Prado;Martín Cammarota

  • Persistence of Long-Term Memory Storage Requires a Late Protein Synthesis- and BDNF- Dependent Phase in the Hippocampus

    Pedro Bekinschtein;Martín Cammarota;Lionel Müller Igaz;Lia R.M. Bevilaqua

  • Different molecular cascades in different sites of the brain control memory consolidation

    Iván Izquierdo;Lia R.M. Bevilaqua;Lia R.M. Bevilaqua;Janine I. Rossato;Janine I. Rossato;Juliana S. Bonini;Juliana S. Bonini

  • Dopamine Controls Persistence of Long-Term Memory Storage

    Janine I. Rossato;Lia R. M. Bevilaqua;Iván Izquierdo;Jorge H. Medina

  • Learning-associated activation of nuclear MAPK, CREB and Elk-1, along with Fos production, in the rat hippocampus after a one-trial avoidance learning: abolition by NMDA receptor blockade

    Martin Cammarota;Lia R.M Bevilaqua;Lia R.M Bevilaqua;Patricia Ardenghi;Gustavo Paratcha

  • BDNF and Memory Formation and Storage

    Pedro Bekinschtein;Martin Cammarota;Ivan Izquierdo;Jorge H. Medina

  • BDNF and memory processing

    Pedro Alejandro Bekinschtein;Martin Pablo Cammarota;Jorge Horacio Medina

  • On the role of hippocampal protein synthesis in the consolidation and reconsolidation of object recognition memory

    Janine I. Rossato;Lia R.M. Bevilaqua;Jociane C. Myskiw;Jorge H. Medina

  • Plastic modifications induced by object recognition memory processing.

    Julia Rosauro Clarke;Martín Cammarota;Agnès Gruart;Iván Izquierdo

  • BDNF activates mTOR to regulate GluR1 expression required for memory formation.

    Leandro Slipczuk;Pedro Bekinschtein;Cynthia Katche;Martín Cammarota;Martín Cammarota

  • A arte de esquecer

    Iván Izquierdo;Lia R. M. Bevilaqua;Martín Cammarota

  • mTOR signaling in the hippocampus is necessary for memory formation

    Pedro Bekinschtein;Cynthia Katche;Leandro N. Slipczuk;Lionel Milller Igaz

  • Delayed wave of c-Fos expression in the dorsal hippocampus involved specifically in persistence of long-term memory storage

    Cynthia Katche;Pedro Bekinschtein;Leandro Slipczuk;Andrea Goldin

  • Endogenous BDNF is required for long-term memory formation in the rat parietal cortex.

    Mariana Alonso;Pedro Bekinschtein;Martín Cammarota;Monica R.M. Vianna

  • Retrieval does not induce reconsolidation of inhibitory avoidance memory.

    Martín Cammarota;Lia R.M. Bevilaqua;Jorge H. Medina;Iván Izquierdo

  • Learning‐specific, time‐dependent increases in hippocampal Ca2+/calmodulin‐dependent protein kinase II activity and AMPA GluR1 subunit immunoreactivity

    Martín Cammarota;Ramón Bernabeu;Miguelina Levi de Stein;Iván Izquierdo

  • Further evidence for the involvement of a hippocampal cGMP/cGMP- dependent protein kinase cascade in memory consolidation

    Ramón Bernabeu;Nadja Schroder;Joao Quevedo;Martín Cammarota

  • The Vesicular Acetylcholine Transporter Is Required for Neuromuscular Development and Function

    Braulio M. de Castro;Xavier De Jaeger;Xavier De Jaeger;Xavier De Jaeger;Cristina Martins-Silva;Cristina Martins-Silva;Ricardo D. F. Lima

  • Retrieval induces hippocampal-dependent reconsolidation of spatial memory.

    Janine I. Rossato;Lia R.M. Bevilaqua;Jorge H. Medina;Iván Izquierdo

Frequent Co-Authors

Ivan Izquierdo
Ivan Izquierdo Pontifical Catholic University of Rio Grande do Sul
Lia R. M. Bevilaqua
Lia R. M. Bevilaqua Federal University of Rio Grande do Norte
Jorge H. Medina
Jorge H. Medina Buenos Aires Institute of Technology
Janine I. Rossato
Janine I. Rossato Federal University of Rio Grande do Norte
Monica R. M. Vianna
Monica R. M. Vianna Pontifical Catholic University of Rio Grande do Sul
Marco A. M. Prado
Marco A. M. Prado University of Western Ontario
Daniela M. Barros
Daniela M. Barros Federal University of Rio Grande do Sul
Vilma R. Martins
Vilma R. Martins National Institute of Standards and Technology
Vania F. Prado
Vania F. Prado University of Western Ontario
Rafael Roesler
Rafael Roesler Federal University of Rio Grande do Sul

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