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D-Index & Metrics

Neuroscience

D-Index
58
Citations
11524
World Ranking
4177
National Ranking
121

Erik De Schutter 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 Erik De Schutter 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: 270 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Erik De Schutter 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 Erik De Schutter 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: 58 D-Index — 57th percentile

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

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

Overview

Erik De Schutter is affiliated with the Okinawa Institute of Science and Technology in Japan, focusing on research primarily in the fields of Neuroscience and Biochemistry, Genetics, and Molecular Biology. Their work significantly intersects with subfields such as Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Neurology, and Biophysics.

The scientist's research topics extensively cover neural dynamics and brain function, neuroscience and neuropharmacology research, vestibular and auditory disorders, lipid membrane structure and behavior, photoreceptor and optogenetics research, cellular transport and secretion, and advanced memory and neural computing.

Frequent collaborators include Sungho Hong, Iain Hepburn, Akshay Markanday, Junya Inoue, and Peter Thier.

Erik De Schutter has published in various scientific venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Frontiers in Neuroinformatics
  • eLife
  • arXiv (Cornell University)

Recent notable papers include:

  • The Cellular Electrophysiological Properties Underlying Multiplexed Coding in Purkinje Cells, 2021, Journal of Neuroscience
  • Control of Ca 2+ signals by astrocyte nanoscale morphology at tripartite synapses, 2022, Glia
  • Firing rate-dependent phase responses of Purkinje cells support transient oscillations, 2020, eLife
  • Multidimensional cerebellar computations for flexible kinematic control of movements, 2023, Nature Communications
  • Recent data on the cerebellum require new models and theories, 2023, Current Opinion in Neurobiology

Best Publications

  • An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice.

    E. De Schutter;J. M. Bower

  • Deletion of FMR1 in Purkinje Cells Enhances Parallel Fiber LTD, Enlarges Spines, and Attenuates Cerebellar Eyelid Conditioning in Fragile X Syndrome

    S.K.E. Koekkoek;K. Yamaguchi;B.A. Milojkovic;B.R. Dortland

  • Anomalous Diffusion in Purkinje Cell Dendrites Caused by Spines

    Fidel Santamaria;Stefan Wils;Erik De Schutter;George J. Augustine

  • Synchronization of Golgi and Granule Cell Firing in a Detailed Network Model of the Cerebellar Granule Cell Layer

    Reinoud Maex;Erik De Schutter

  • Complex parameter landscape for a complex neuron model.

    Pablo Achard;Erik De Schutter

  • An active membrane model of the cerebellar Purkinje cell II. Simulation of synaptic responses

    E. De Schutter;J. M. Bower

  • Microcircuits in action--from CPGs to neocortex.

    Sten Grillner;Henry Markram;Erik De Schutter;Gilad Silberberg;Gilad Silberberg

  • Cerebellar long-term depression might normalize excitation of Purkinje cells: a hypothesis

    Erik De Schutter

  • GABA-mediated repulsive coupling between circadian clock neurons in the SCN encodes seasonal time

    Jihwan Myung;Jihwan Myung;Sungho Hong;Daniel DeWoskin;Erik De Schutter

  • Cerebellar LTD and Pattern Recognition by Purkinje Cells

    Volker Steuber;Volker Steuber;Wolfgang Mittmann;Freek E. Hoebeek;R. Angus Silver

  • The choroid plexus is an important circadian clock component.

    Jihwan Myung;Christoph Schmal;Sungho Hong;Yoshiaki Tsukizawa

  • STEPS: efficient simulation of stochastic reaction–diffusion models in realistic morphologies

    Iain Hepburn;Iain Hepburn;Weiliang Chen;Stefan Wils;Stefan Wils;Erik De Schutter;Erik De Schutter

  • A Higher Order Motion Region in Human Inferior Parietal Lobule: Evidence from fMRI

    Kristl G Claeys;Delwin T Lindsey;Erik De Schutter;Guy A Orban

  • Cerebellar Golgi cells in the rat: receptive fields and timing of responses to facial stimulation.

    Bart P. Vos;Antonia Volny-Luraghi;Erik De Schutter

  • Computational Neuroscience : Realistic Modeling for Experimentalists

    Erik De Schutter

  • Simulated responses of cerebellar Purkinje cells are independent of the dendritic location of granule cell synaptic inputs.

    E De Schutter;J M Bower

  • Comparing BOLD fMRI signal changes in the awake and anesthetized rat during electrical forepaw stimulation.

    R.R. Peeters;I. Tindemans;E. De Schutter;A. Van der Linden

  • Impact of Neuronal Properties on Network Coding: Roles of Spike Initiation Dynamics and Robust Synchrony Transfer

    Stéphanie Ratté;Sungho Hong;Erik De Schutter;Steven A. Prescott

  • Ascending granule cell axon: An important component of cerebellar cortical circuitry

    Girija Gundappa-Sulur;Erik De Schutter;James M. Bower

  • Computational Modeling Methods for Neuroscientists

    Erik De Schutter

  • The Role of Synaptic and Voltage-Gated Currents in the Control of Purkinje Cell Spiking: A Modeling Study

    Dieter Jaeger;Erik De Schutter;James M. Bower

  • Large-scale neuronal theories of the brain: edited by Christof Koch and Joel L. Davis, The MIT Press, 1994. $74.25 (xi + 343 pages) ISBN 0 262 11183 7

    E. De Schutter

Frequent Co-Authors

James M. Bower
James M. Bower The University of Texas Health Science Center at San Antonio
Giorgio A. Ascoli
Giorgio A. Ascoli George Mason University
Chris I. De Zeeuw
Chris I. De Zeeuw Erasmus University Rotterdam
David N. Kennedy
David N. Kennedy University of Massachusetts Chan Medical School
Toru Takumi
Toru Takumi Kobe University
Guy A. Orban
Guy A. Orban University of Parma
R. Angus Silver
R. Angus Silver University College London
Jan G. Bjaalie
Jan G. Bjaalie University of Oslo
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS
Dieter Jaeger
Dieter Jaeger Emory University

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