World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
38
Citations
6789
World Ranking
8513
National Ranking
464

Laura Cancedda 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 Laura Cancedda 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: 93 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Laura Cancedda 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 Laura Cancedda 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: 38 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Overview

Laura Cancedda is affiliated with the Italian Institute of Technology in Italy and has a research focus primarily grounded in biochemistry, genetics, molecular biology, and neuroscience. Their work extends into subfields such as molecular biology, cellular and molecular neuroscience, genetics, public health, environmental and occupational health, and cognitive neuroscience.

The research topics frequently addressed by Laura Cancedda revolve around genetics and neurodevelopmental disorders, neuroscience and neuropharmacology research, ion transport and channel regulation, down syndrome and intellectual disability research, ion channel regulation and function, autism spectrum disorder research, as well as neurogenesis and neuroplasticity mechanisms.

Several notable recent papers authored or co-authored include:

  • "Rescuing Over-activated Microglia Restores Cognitive Performance in Juvenile Animals of the Dp(16) Mouse Model of Down Syndrome" (2020) published in Neuron
  • "Discovery of a Small Molecule Drug Candidate for Selective NKCC1 Inhibition in Brain Disorders" (2020) published in Chem
  • "Pharmacological tools to target NKCC1 in brain disorders" (2021) published in Trends in Pharmacological Sciences
  • "Structural basis for inhibition of the Cation-chloride cotransporter NKCC1 by the diuretic drug bumetanide" (2022) published in Nature Communications
  • "Restoring neuronal chloride homeostasis with anti-NKCC1 gene therapy rescues cognitive deficits in a mouse model of Down syndrome" (2021) published in Molecular Therapy

Frequent co-authors in Laura Cancedda's publications include:

  • Annalisa Savardi
  • Marco De Vivo
  • Andrea Contestabile
  • Marco Borgogno
  • Marina Nanni

Laura Cancedda's research is often published in recurring academic venues such as:

  • Neuroscience Applied
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neuron
  • Nature Communications
  • iScience

This profile reflects a research portfolio focused on understanding molecular and cellular mechanisms in neuroscience and genetics, particularly related to neurodevelopmental disorders and ion channel functioning, often using animal models to explore therapeutic interventions.

Best Publications

  • Excitatory GABA action is essential for morphological maturation of cortical neurons in vivo.

    Laura Cancedda;Hubert Fiumelli;Karen Chen;Mu-ming Poo

  • LKB1/STRAD Promotes Axon Initiation During Neuronal Polarization

    Maya Shelly;Laura Cancedda;Sarah Heilshorn;Germán Sumbre

  • Reducing Intracortical Inhibition in the Adult Visual Cortex Promotes Ocular Dominance Plasticity

    Alexey Harauzov;Maria Spolidoro;Graziella DiCristo;Roberto De Pasquale

  • Acceleration of Visual System Development by Environmental Enrichment

    Laura Cancedda;Elena Putignano;Alessandro Sale;Alessandro Viegi

  • Local and Long-Range Reciprocal Regulation of cAMP and cGMP in Axon/Dendrite Formation

    Maya Shelly;Byung Kook Lim;Laura Cancedda;Laura Cancedda;Sarah C. Heilshorn

  • Requirement of ERK activation for visual cortical plasticity.

    Graziella Di Cristo;Nicoletta Berardi;Laura Cancedda;Tommaso Pizzorusso

  • Developmental Downregulation of Histone Posttranslational Modifications Regulates Visual Cortical Plasticity

    Elena Putignano;Giuseppina Lonetti;Laura Cancedda;Gianmichele Ratto

  • Reversing excitatory GABAAR signaling restores synaptic plasticity and memory in a mouse model of Down syndrome

    Gabriele Deidda;Martina Parrini;Shovan Naskar;Ignacio F Bozarth

  • Semaphorin3A regulates neuronal polarization by suppressing axon formation and promoting dendrite growth.

    Maya Shelly;Laura Cancedda;Byung Kook Lim;Andrei T. Popescu

  • Modulation of GABAergic transmission by activity via postsynaptic Ca2+-dependent regulation of KCC2 function.

    Hubert Fiumelli;Laura Cancedda;Mu-ming Poo

  • Enriched environment and acceleration of visual system development.

    Alessandro Sale;Elena Putignano;Laura Cancedda;Silvia Landi

  • Modulation of GABAergic transmission in development and neurodevelopmental disorders: investigating physiology and pathology to gain therapeutic perspectives

    Gabriele Deidda;Ignacio F. Bozarth;Laura Cancedda

  • Oxytocin Signaling in the Central Amygdala Modulates Emotion Discrimination in Mice.

    Valentina Ferretti;Federica Maltese;Gabriella Contarini;Marco Nigro

  • High-performance and site-directed in utero electroporation by a triple-electrode probe

    Marco dal Maschio;Diego Ghezzi;Guillaume Bony;Alessandro Alabastri

  • Refuting the challenges of the developmental shift of polarity of GABA actions: GABA more exciting than ever!

    Yehezkel Ben-Ari;Melanie A. Woodin;Evelyne Sernagor;Laura Cancedda

  • GABAergic Control of Neurite Outgrowth and Remodeling During Development and Adult Neurogenesis: General Rules and Differences in Diverse Systems

    Evelyne Sernagor;François Chabrol;Guillaume Bony;Laura Cancedda

  • Simultaneous two-photon imaging of intracellular chloride concentration and pH in mouse pyramidal neurons in vivo

    Sebastian Sulis Sato;Pietro Artoni;Silvia Landi;Olga Cozzolino

  • Early depolarizing GABA controls critical-period plasticity in the rat visual cortex

    Gabriele Deidda;Manuela Allegra;Chiara Cerri;Shovan Naskar

  • Rescuing Over-activated Microglia Restores Cognitive Performance in Juvenile Animals of the Dp(16) Mouse Model of Down Syndrome.

    Bruno Pinto;Giovanni Morelli;Mohit Rastogi;Annalisa Savardi

  • The GABAergic Hypothesis for Cognitive Disabilities in Down Syndrome.

    Andrea Contestabile;Salvatore Magara;Laura Cancedda

  • Heterozygous Knock-Out Mice for Brain-Derived Neurotrophic Factor Show a Pathway-Specific Impairment of Long-Term Potentiation But Normal Critical Period for Monocular Deprivation

    Alessandro Bartoletti;Laura Cancedda;Susan W. Reid;Lino Tessarollo

  • A cell surface biotinylation assay to reveal membrane associated neuronal cues: Negr1 regulates dendritic arborization.

    Francesca Pischedda;Joanna Szczurkowska;Maria Daniela Cirnaru;Florian Giesert

Frequent Co-Authors

Fabio Benfenati
Fabio Benfenati Italian Institute of Technology
Lamberto Maffei
Lamberto Maffei National Research Council (CNR)
Tommaso Pizzorusso
Tommaso Pizzorusso University of Florence
Francesco Gentile
Francesco Gentile Information Technology University
Mu-ming Poo
Mu-ming Poo Chinese Academy of Sciences
Enzo Di Fabrizio
Enzo Di Fabrizio Polytechnic University of Turin
Nicoletta Berardi
Nicoletta Berardi University of Florence
Alberto Diaspro
Alberto Diaspro Italian Institute of Technology
Francesco Amato
Francesco Amato University of Naples Federico II
Evelyne Sernagor
Evelyne Sernagor Newcastle University

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