World's Best Scientists 2026 revealed!
Moritz Helmstaedter

Moritz Helmstaedter

D-Index & Metrics

Neuroscience

D-Index
48
Citations
11993
World Ranking
6114
National Ranking
511

Moritz Helmstaedter 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 Moritz Helmstaedter 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.

Moritz Helmstaedter 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 Moritz Helmstaedter 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: 48 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Moritz Helmstaedter is affiliated with the Max Planck Society in Germany and has contributed extensively to the field of Neuroscience. Their research extensively covers topics related to neural dynamics, brain function, and structural organization within the nervous system.

Helmstaedter's main fields of study include Neuroscience with a focus on several subfields such as Cognitive Neuroscience, Cellular and Molecular Neuroscience, Structural Biology, Neurology, and Electrical and Electronic Engineering.

The primary topics of their work encompass:

  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Neuroscience and Neuropharmacology Research
  • Advanced Electron Microscopy Techniques and Applications
  • Functional Brain Connectivity Studies
  • Advanced Memory and Neural Computing
  • Photoreceptor and optogenetics research

Among frequent co-authors collaborating with Helmstaedter are:

  • Alessandro Motta
  • Meike Sievers
  • Sahil Loomba
  • Kevin M. Boergens
  • Yunfeng Hua

Helmstaedter has published multiple papers in prominent venues such as bioRxiv (Cold Spring Harbor Laboratory), Nature Neuroscience, Science, Nature Methods, and Cell. These publication venues reflect a consistent focus on neuroscience and related biological sciences.

Recent notable papers include:

  • "Connectomic comparison of mouse and human cortex," 2022, Science
  • "The Mind of a Mouse," 2020, Cell
  • "Neuropathic pain caused by miswiring and abnormal end organ targeting," 2022, Nature
  • "Cell-type specific innervation of cortical pyramidal cells at their apical dendrites," 2020, eLife
  • "Postnatal connectomic development of inhibition in mouse barrel cortex," 2020, Science

Best Publications

  • Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex

    Giorgio A. Ascoli;Lidia Alonso-Nanclares;Stewart A. Anderson;German Barrionuevo

  • Connectomic reconstruction of the inner plexiform layer in the mouse retina

    Moritz Helmstaedter;Kevin L. Briggman;Srinivas C. Turaga;Srinivas C. Turaga;Viren Jain;Viren Jain

  • Wiring specificity in the direction-selectivity circuit of the retina

    Kevin L. Briggman;Moritz Helmstaedter;Winfried Denk

  • Convolutional networks can learn to generate affinity graphs for image segmentation

    Srinivas C. Turaga;Joseph F. Murray;Viren Jain;Fabian Roth

  • Dense connectomic reconstruction in layer 4 of the somatosensory cortex

    Alessandro Motta;Manuel Berning;Kevin M. Boergens;Benedikt Staffler

  • Cell Type–Specific Three-Dimensional Structure of Thalamocortical Circuits in a Column of Rat Vibrissal Cortex

    Marcel Oberlaender;Christiaan P. J. de Kock;Randy M. Bruno;Alejandro Ramirez

  • Cellular-resolution connectomics: challenges of dense neural circuit reconstruction

    Moritz Helmstaedter

  • Large-volume en-bloc staining for electron microscopy-based connectomics.

    Yunfeng Hua;Philip Alex Michael Laserstein;Moritz Helmstaedter

  • High-accuracy neurite reconstruction for high-throughput neuroanatomy

    Moritz Helmstaedter;Kevin L Briggman;Winfried Denk

  • Inhibitory interneurons in a cortical column form hot zones of inhibition in layers 2 and 5A

    Hanno S. Meyer;Daniel Schwarz;Verena C. Wimmer;Arno C. Schmitt

  • Connectomic comparison of mouse and human cortex

    Unknown

  • Supervised Learning of Image Restoration with Convolutional Networks

    V. Jain;J.F. Murray;F. Roth;S. Turaga

  • A community-based transcriptomics classification and nomenclature of neocortical cell types

    Rafael Yuste;Michael Hawrylycz;Nadia Aalling;Argel Aguilar-Valles

  • Common circuit design in fly and mammalian motion vision

    Alexander Borst;Moritz Helmstaedter

  • Cell Type–Specific Thalamic Innervation in a Column of Rat Vibrissal Cortex

    Hanno-Sebastian Meyer;Verena C. Wimmer;Mike Hemberger;Randy M. Bruno

  • Structural neurobiology: missing link to a mechanistic understanding of neural computation

    Winfried Denk;Kevin L. Briggman;Moritz Helmstaedter

  • 3D structural imaging of the brain with photons and electrons

    Moritz Helmstaedter;Kevin L Briggman;Winfried Denk

  • Number and Laminar Distribution of Neurons in a Thalamocortical Projection Column of Rat Vibrissal Cortex

    Hanno-Sebastian Meyer;Verena C. Wimmer;Marcel Oberlaender;Christiaan de Kock

  • webKnossos: efficient online 3D data annotation for connectomics

    Kevin M Boergens;Manuel Berning;Tom Bocklisch;Dominic Bräunlein

  • The Mind of a Mouse

    Larry F. Abbott;Davi D. Bock;Edward M. Callaway;Winfried Denk

  • Large-Scale Automated Histology in the Pursuit of Connectomes

    David Kleinfeld;Arjun Bharioke;Pablo Blinder;David Bock

  • Boundary Learning by Optimization with Topological Constraints

    Viren Jain;Benjamin Bollmann;Mark Richardson;Daniel R. Berger

Frequent Co-Authors

Bert Sakmann
Bert Sakmann Max Planck Society
Christiaan P. J. de Kock
Christiaan P. J. de Kock Vrije Universiteit Amsterdam
H. Sebastian Seung
H. Sebastian Seung Princeton University
Rafael Yuste
Rafael Yuste Columbia University
Jeff W. Lichtman
Jeff W. Lichtman Harvard University
Dirk Feldmeyer
Dirk Feldmeyer Forschungszentrum Jülich
Javier DeFelipe
Javier DeFelipe Technical University of Madrid
Gábor Tamás
Gábor Tamás University of Szeged
Oscar Marín
Oscar Marín King's College London
Randy M. Bruno
Randy M. Bruno University of Oxford

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