World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
31
Citations
3815
World Ranking
9583
National Ranking
474

Pierre Meyrand 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 Pierre Meyrand 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: 84 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Pierre Meyrand 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 Pierre Meyrand 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: 31 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Overview

Pierre Meyrand is affiliated with the University of Bordeaux in France. Their research primarily centers around the field of Neuroscience with a particular emphasis on Cognitive Neuroscience and Cellular and Molecular Neuroscience. They have made contributions that also intersect with Cardiology and Cardiovascular Medicine.

The scientist's work explores several main topics including Neuroscience and Neuropharmacology Research, Memory and Neural Mechanisms, Neural Dynamics and Brain Function, Photoreceptor and Optogenetics Research, EEG and Brain-Computer Interfaces, and ECG Monitoring and Analysis.

Their recent scientific publications include the following papers:

  • "Reconfiguration of the cortical-hippocampal interaction may compensate for Sharp-Wave Ripple deficits in APP/PS1 mice and support spatial memory formation", 2020, PLoS ONE
  • "Recognition of post-learning alteration of hippocampal ripples by convolutional neural network differs in the wild-type and AD mice", 2021, Scientific Reports
  • "Effect of learning on slow gamma propagation between hippocampus and cortex in the wild-type and AD mice", 2022, Scientific Reports
  • "Self-supervised learning reduces label noise in sharp wave ripple classification", 2025, Scientific Reports

Meyrand has frequently published in the journals Scientific Reports and PLoS ONE. The majority of their publications appear in Scientific Reports.

Frequent co-authors collaborating with Meyrand include:

  • Tiaza Bem
  • Bartosz Jura
  • Katarzyna J. Blinowska
  • Nathalie Macrez
  • Feng-Sheng Tsai

Their body of work investigates complex neural mechanisms underlying memory formation and neural ripple events within the hippocampus and cortex, integrating computational approaches such as convolutional neural networks for analysis. Their research outputs contribute to understanding neural dynamics in both wild-type and Alzheimer's disease model mice.

Best Publications

  • Neurons that form multiple pattern generators: identification and multiple activity patterns of gastric/pyloric neurons in the crab stomatogastric system

    J. M. Weimann;P. Meyrand;E. Marder

  • Construction of a pattern-generating circuit with neurons of different networks.

    Pierre Meyrand;John Simmers;Maurice Moulins

  • Dynamic construction of a neural network from multiple pattern generators in the lobster stomatogastric nervous system

    P Meyrand;J Simmers;M Moulins

  • A switch between two modes of synaptic transmission mediated by presynaptic inhibition

    Melissa J. Coleman;Melissa J. Coleman;Melissa J. Coleman;Pierre Meyrand;Michael P. Nusbaum;Michael P. Nusbaum

  • NKCC1 cotransporter inactivation underlies embryonic development of chloride-mediated inhibition in mouse spinal motoneuron.

    Alain Delpy;Anne-Emilie Allain;Pierre Meyrand;Pascal Branchereau

  • Descending 5-Hydroxytryptamine Raphe Inputs Repress the Expression of Serotonergic Neurons and Slow the Maturation of Inhibitory Systems in Mouse Embryonic Spinal Cord

    Pascal Branchereau;Jacqueline Chapron;Pierre Meyrand

  • Multiple axonal spike initiation zones in a motor neuron: serotonin activation

    P Meyrand;JM Weimann;E Marder

  • Dynamic Restructuring of a Rhythmic Motor Program by a Single Mechanoreceptor Neuron in Lobster

    Denis Combes;Pierre Meyrand;John Simmers

  • Multiple spontaneous rhythmic activity patterns generated by the embryonic mouse spinal cord occur within a specific developmental time window.

    Blaise Yvert;Pascal Branchereau;Pierre Meyrand

  • Functional differentiation of adult neural circuits from a single embryonic network

    Beatrice Casasnovas;Pierre Meyrand

  • Sequential developmental acquisition of neuromodulatory inputs to a central pattern-generating network.

    Valérie S. Fénelon;Valerie Kilman;Pierre Meyrand;Eve Marder

  • Central inputs mask multiple adult neural networks within a single embryonic network.

    Yves Le Feuvre;Valérie S. Fénelon;Pierre Meyrand

  • Motor pattern specification by dual descending pathways to a lobster rhythm-generating network.

    Denis Combes;Pierre Meyrand;John Simmers

  • Matching neural and muscle oscillators: control by FMRFamide-like peptides

    Pierre Meyrand;Eve Marder

  • BioMEA™: A versatile high-density 3D microelectrode array system using integrated electronics

    Guillaume Charvet;Lionel Rousseau;Olivier Billoint;Sadok Gharbi

  • Glycine Release from Radial Cells Modulates the Spontaneous Activity and Its Propagation during Early Spinal Cord Development

    Anne-Laure Scain;Hervé Le Corronc;Anne-Emilie Allain;Emilie Muller

  • Long-Term Expression of Two Interacting Motor Pattern-Generating Networks in the Stomatogastric System of Freely Behaving Lobster

    Stefan Clemens;Denis Combes;Pierre Meyrand;John Simmers

  • Species-specific modulation of pattern-generating circuits.

    Pierre Meyrand;Serge Faumont;John Simmers;Andrew E. Christie

  • In Vivo Modulation of Interacting Central Pattern Generators in Lobster Stomatogastric Ganglion: Influence of Feeding and Partial Pressure of Oxygen

    Stefan Clemens;Jean-Charles Massabuau;Alexia Legeay;Pierre Meyrand

  • Sequential developmental acquisition of cotransmitters in identified sensory neurons of the stomatogastric nervous system of the lobsters, Homarus americanus and Homarus gammarus.

    Valerie Kilman;Valérie S. Fénelon;Kathryn S. Richards;Vatsala Thirumalai

  • Expression of the glycinergic system during the course of embryonic development in the mouse spinal cord and its co-localization with GABA immunoreactivity.

    Anne-Emilie Allain;Alexia Baïri;Pierre Meyrand;Pascal Branchereau

Frequent Co-Authors

John Simmers
John Simmers University of Bordeaux
Michael P. Nusbaum
Michael P. Nusbaum University of Pennsylvania
Eve Marder
Eve Marder Brandeis University
John Rinzel
John Rinzel New York University
Pascal Legendre
Pascal Legendre Université Paris Cité
Peter Kloppenburg
Peter Kloppenburg University of Cologne
Timothy H. Murphy
Timothy H. Murphy University of British Columbia
Clément Léna
Clément Léna École Normale Supérieure
Ronald M. Harris-Warrick
Ronald M. Harris-Warrick Cornell University
Andrew E. Christie
Andrew E. Christie University of Hawaii at Manoa

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Related Online Degrees & Career Pathways

Exploring neuroscience opens doors to a variety of career pathways, both in clinical settings and beyond. For those interested in the intersection between brain science and mental health, online psyd clinical psychology programs offer flexible options to advance toward licensure as a clinical psychologist.

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Looking for a faster path to your degree? Many schools now provide 2 year accelerated bachelor degrees online, making it possible to jumpstart your neuroscience-related career or transition to graduate programs more quickly.

Finally, it’s worth considering job opportunities and potential salaries as you plan your educational journey. Some neuroscience-related fields are among the highest paying degrees you can earn, offering strong returns on your investment in education.

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