World's Best Scientists 2026 revealed!
Sergio Martinoia

Sergio Martinoia

D-Index & Metrics

Neuroscience

D-Index
45
Citations
7418
World Ranking
6939
National Ranking
361

Sergio Martinoia 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 Sergio Martinoia 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: 185 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Sergio Martinoia 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 Sergio Martinoia 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: 45 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Sergio Martinoia is affiliated with the University of Genoa in Italy and focuses research at the intersection of neuroscience and engineering. Their work spans several main fields of study including Neuroscience, with 43 publications, and Engineering, comprising 20 publications.

The scientist's subfields of study show a strong emphasis on Cellular and Molecular Neuroscience (32 publications) and Biomedical Engineering (15 publications), along with contributions to Cognitive Neuroscience, Molecular Biology, and Electrical and Electronic Engineering.

Main topics covered in their research include Neuroscience and Neural Engineering, highlighted in 48 publications, as well as 3D Printing in Biomedical Research with 22 publications. Other topics include Neural dynamics and brain function, Advanced Memory and Neural Computing, Pluripotent Stem Cells Research, Photoreceptor and optogenetics research, and Neuroscience and Neuropharmacology Research.

Sergio Martinoia has published multiple papers in notable venues. Frequent publication venues include Journal of Neural Engineering (3 publications), Frontiers in Bioengineering and Biotechnology (3 publications), Biomedical Science and Engineering (2 publications), APL Bioengineering (2 publications), and SSRN Electronic Journal (2 publications).

Some of their recent papers are:

  • "A three-dimensional micro-electrode array for in-vitro neuronal interfacing" (2020), Journal of Neural Engineering
  • "Rapid generation of functional engineered 3D human neuronal assemblies: network dynamics evaluated by micro-electrodes arrays" (2021), Journal of Neural Engineering
  • "Deepening the role of excitation/inhibition balance in human iPSCs-derived neuronal networks coupled to MEAs during long-term development" (2023), Journal of Neural Engineering
  • "A micropatterned thermoplasmonic substrate for neuromodulation of in vitro neuronal networks" (2022), Acta Biomaterialia
  • "Development of multi-depth probing 3D microelectrode array to record electrophysiological activity within neural cultures" (2023), Journal of Micromechanics and Microengineering

Collaborations include frequent co-authors such as Donatella Di Lisa, Laura Pastorino, Monica Frega, Lorenzo Muzzi, and Andrea Andolfi. The number of co-authored works ranges from 6 to 16 papers with these individuals.

Best Publications

  • Dissociated cortical networks show spontaneously correlated activity patterns during in vitro development

    Michela Chiappalone;Marco Bove;Alessandro Vato;Mariateresa Tedesco

  • Self-organization and neuronal avalanches in networks of dissociated cortical neurons.

    V. Pasquale;P. Massobrio;L.L. Bologna;M. Chiappalone

  • Active pixel sensor array for high spatio-temporal resolution electrophysiological recordings from single cell to large scale neuronal networks

    Luca Berdondini;Kilian Imfeld;Alessandro Maccione;Mariateresa Tedesco

  • A novel algorithm for precise identification of spikes in extracellularly recorded neuronal signals.

    Alessandro Maccione;Mauro Gandolfo;Paolo Massobrio;Antonio Novellino

  • Evaluation of the Performance of Information Theory-Based Methods and Cross-Correlation to Estimate the Functional Connectivity in Cortical Networks

    Matteo Garofalo;Thierry Nieus;Paolo Massobrio;Sergio Martinoia;Sergio Martinoia

  • Network dynamics and synchronous activity in cultured cortical neurons.

    Michela Chiappalone;Alessandro Vato;Luca Berdondini;Milena Koudelka-Hep

  • Development of ISFET array-based microsystems for bioelectrochemical measurements of cell populations

    Sergio Martinoia;Nicola Rosso;Massimo Grattarola;Leandro Lorenzelli

  • Network dynamics of 3D engineered neuronal cultures: a new experimental model for in-vitro electrophysiology

    Monica Frega;Mariateresa Tedesco;Paolo Massobrio;Mattia Pesce

  • Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons

    M. Chiappalone;A. Novellino;I. Vajda;A. Vato

  • Networks of neurons coupled to microelectrode arrays: a neuronal sensory system for pharmacological applications

    M Chiappalone;A Vato;M B Tedesco;M Marcoli

  • Development of Micro-Electrode Array Based Tests for Neurotoxicity: Assessment of Interlaboratory Reproducibility with Neuroactive Chemicals

    Antonio Novellino;Bibiana Scelfo;Taina Palosaari;Anna Price

  • 2010 Special Issue: Investigating neuronal activity by SPYCODE multi-channel data analyzer

    Luca Leonardo Bologna;Valentina Pasquale;Matteo Garofalo;Mauro Gandolfo

  • Large-Scale, High-Resolution Data Acquisition System for Extracellular Recording of Electrophysiological Activity

    K. Imfeld;S. Neukom;A. Maccione;Y. Bornat

  • Network plasticity in cortical assemblies.

    Michela Chiappalone;Paolo Massobrio;Sergio Martinoia

  • A self-adapting approach for the detection of bursts and network bursts in neuronal cultures

    Valentina Pasquale;Sergio Martinoia;Michela Chiappalone

  • Connecting neurons to a mobile robot: an in vitro bidirectional neural interface

    A. Novellino;P. D'Angelo;L. Cozzi;M. Chiappalone

  • Opposite Changes in Glutamatergic and GABAergic Transmission Underlie the Diffuse Hyperexcitability of Synapsin I–Deficient Cortical Networks

    Michela Chiappalone;Michela Chiappalone;Silvia Casagrande;Mariateresa Tedesco;Flavia Valtorta

  • Modeling the neuron-microtransducer junction: from extracellular to patch recording

    M. Grattarola;S. Martinoia

  • A microelectrode array (MEA) integrated with clustering structures for investigating in vitro neurodynamics in confined interconnected sub-populations of neurons

    L. Berdondini;M. Chiappalone;P.D. van der Wal;K. Imfeld

  • Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks

    Paolo Massobrio;Valentina Pasquale;Sergio Martinoia

  • Cultured neurons coupled to microelectrode arrays: circuit models, simulations and experimental data

    S. Martinoia;P. Massobrio;M. Bove;G. Massobrio

Frequent Co-Authors

Michela Chiappalone
Michela Chiappalone Italian Institute of Technology
Marco Bove
Marco Bove University of Genoa
Milena Koudelka-Hep
Milena Koudelka-Hep University of Neuchâtel
Fabio Benfenati
Fabio Benfenati Italian Institute of Technology
Annalisa Bonfiglio
Annalisa Bonfiglio University of Cagliari
Leandro Lorenzelli
Leandro Lorenzelli Fondazione Bruno Kessler
Piero Cosseddu
Piero Cosseddu University of Cagliari
Wytse J. Wadman
Wytse J. Wadman University of Amsterdam
Maurizio Valle
Maurizio Valle University of Genoa
Gianni Ciofani
Gianni Ciofani Italian Institute of Technology

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