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D-Index & Metrics

Neuroscience

D-Index
39
Citations
7680
World Ranking
8266
National Ranking
450

Michele Giugliano 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 Michele Giugliano 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: 130 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Michele Giugliano 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 Michele Giugliano 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: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Michele Giugliano is affiliated with the University of Antwerp in Belgium. Their research spans multiple areas primarily within neuroscience and biochemistry, genetics, and molecular biology. They have contributed extensively to fields such as cellular and molecular neuroscience, cognitive neuroscience, molecular biology, electrical and electronic engineering, and statistical and nonlinear physics.

The main topics of their work include neural dynamics and brain function, neuroscience and neural engineering, neuroscience and neuropharmacology research, advanced memory and neural computing, stochastic dynamics and bifurcation, neurogenesis and neuroplasticity mechanisms, and RNA regulation and disease.

Giugliano's research outputs have been published in several scientific venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Cellular Neuroscience
  • Frontiers in Neuroscience
  • iScience
  • Cell Reports

They have coauthored multiple papers with several researchers, including:

  • Matteo Manzati
  • Ali Seif Amir Hosseini
  • Vanesa Nieto-Estévez
  • Parul Varma
  • Sara Mirsadeghi

Among their recent papers are:

  • Low-Impedance 3D PEDOT:PSS Ultramicroelectrodes, 2020, Frontiers in Neuroscience
  • Plasticity and Adaptation in Neuromorphic Biohybrid Systems, 2020, iScience
  • Modulation of Coordinated Activity across Cortical Layers by Plasticity of Inhibitory Synapses, 2020, Cell Reports
  • The dual action of glioma-derived exosomes on neuronal activity: synchronization and disruption of synchrony, 2022, Cell Death and Disease
  • The location of the axon initial segment affects the bandwidth of spike initiation dynamics, 2020, PLoS Computational Biology

Giugliano has also contributed to book publications, including the title Computational Modelling of the Brain published by Springer Nature in 2022.

Best Publications

  • α-Synuclein strains cause distinct synucleinopathies after local and systemic administration

    W. Peelaerts;L. Bousset;A. Van der Perren;A. Moskalyuk

  • Pyramidal neurons derived from human pluripotent stem cells integrate efficiently into mouse brain circuits in vivo.

    Ira Espuny-Camacho;Kimmo A. Michelsen;David Gall;Daniele Linaro

  • Carbon nanotubes might improve neuronal performance by favouring electrical shortcuts

    Giada Cellot;Emanuele Cilia;Emanuele Cilia;Sara Cipollone;Vladimir Rancic

  • Interfacing Neurons with Carbon Nanotubes: Electrical Signal Transfer and Synaptic Stimulation in Cultured Brain Circuits

    Andrea Mazzatenta;Michele Giugliano;Stephane Campidelli;Luca Gambazzi

  • High Bandwidth Synaptic Communication and Frequency Tracking in Human Neocortex

    Guilherme Testa-Silva;Matthijs B. Verhoog;Daniele Linaro;Christiaan P. J. de Kock

  • Micropatterning neural cell cultures in 3D with a multi-layered scaffold

    Anja Kunze;Michele Giugliano;Michele Giugliano;Ana Valero;Philippe Renaud

  • Large and fast human pyramidal neurons associate with intelligence

    Natalia A. Goriounova;Djai B. Heyer;Rene Wilbers;Matthijs B. Verhoog

  • Single-layer graphene modulates neuronal communication and augments membrane ion currents

    Niccolò Paolo Pampaloni;Martin Lottner;Michele Giugliano;Michele Giugliano;Alessia Matruglio

  • Hyperconnectivity and Slow Synapses during Early Development of Medial Prefrontal Cortex in a Mouse Model for Mental Retardation and Autism

    Guilherme Testa-Silva;Alex Loebel;Michele Giugliano;Michele Giugliano;Michele Giugliano;Christiaan P.J. de Kock

  • The Dynamical Response Properties of Neocortical Neurons to Temporally Modulated Noisy Inputs In Vitro

    Harold Köndgen;Caroline Geisler;Stefano Fusi;Stefano Fusi;Xiao Jing Wang

  • Single-neuron discharge properties and network activity in dissociated cultures of neocortex.

    M. Giugliano;P. Darbon;M. Arsiero;H.-R. Lüscher

  • Carbon-based smart nanomaterials in biomedicine and neuroengineering

    Antonina M Monaco;Michele Giugliano

  • Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation

    Daniele Linaro;Marco Storace;Michele Giugliano;Michele Giugliano;Michele Giugliano

  • Substrate arrays of iridium oxide microelectrodes for in vitro neuronal interfacing

    Shady Gawad;Shady Gawad;Michele Giugliano;Michele Giugliano;Marc O Heuschkel;Boerge Wessling

  • The Impact of Input Fluctuations on the Frequency–Current Relationships of Layer 5 Pyramidal Neurons in the Rat Medial Prefrontal Cortex

    Maura Arsiero;Hans Rudolf Lüscher;Brian Nils Lundstrom;Michele Giugliano;Michele Giugliano;Michele Giugliano

  • Neurogenic Radial Glia-like Cells in Meninges Migrate and Differentiate into Functionally Integrated Neurons in the Neonatal Cortex

    Francesco Bifari;Ilaria Decimo;Ilaria Decimo;Annachiara Pino;Annachiara Pino;Enric Llorens-Bobadilla

  • Event-driven simulation of spiking neurons with stochastic dynamics

    Jan Reutimann;Michele Giugliano;Stefano Fusi

  • Locomotion modulates specific functional cell types in the mouse visual thalamus.

    ÇagÌatay Aydın;ÇagÌatay Aydın;João Couto;João Couto;Michele Giugliano;Karl Farrow;Karl Farrow

  • Human Pluripotent Stem-Cell-Derived Cortical Neurons Integrate Functionally into the Lesioned Adult Murine Visual Cortex in an Area-Specific Way

    Ira Espuny-Camacho;Kimmo A. Michelsen;Daniele Linaro;Angéline Bilheu

  • Interactions Between Cultured Neurons and Carbon Nanotubes: A Nanoneuroscience Vignette.

    Antonietta Sucapane;Giada Cellot;Maurizio Prato;Michele Giugliano

Frequent Co-Authors

Maurizio Prato
Maurizio Prato University of Trieste
Henry Markram
Henry Markram École Polytechnique Fédérale de Lausanne
Laura Ballerini
Laura Ballerini University of Trieste
Huibert D. Mansvelder
Huibert D. Mansvelder Vrije Universiteit Amsterdam
Christiaan P. J. de Kock
Christiaan P. J. de Kock Vrije Universiteit Amsterdam
Stefano Fusi
Stefano Fusi Columbia University
Hans-Rudolf Lüscher
Hans-Rudolf Lüscher University of Bern
Martin Klein
Martin Klein Vrije Universiteit Amsterdam
Erik De Schutter
Erik De Schutter Okinawa Institute of Science and Technology

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