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D-Index & Metrics

Neuroscience

D-Index
62
Citations
14787
World Ranking
3509
National Ranking
1620

Giorgio A. Ascoli 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 Giorgio A. Ascoli 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: 298 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Giorgio A. Ascoli 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 Giorgio A. Ascoli 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: 62 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

Giorgio A. Ascoli is a researcher affiliated with George Mason University in the United States. Their work spans multiple domains within biochemistry, genetics, molecular biology, and neuroscience, with a strong focus on both fundamental and applied aspects of brain structure and function.

Their research contributions are published extensively in recognized scientific venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Neuroinformatics
  • eLife
  • Nature Neuroscience

Some of their recent notable papers include:

  • "A multimodal cell census and atlas of the mammalian primary motor cortex" (2021, Nature)
  • "Cellular anatomy of the mouse primary motor cortex" (2021, Nature)
  • "Organization of the inputs and outputs of the mouse superior colliculus" (2021, Nature Communications)
  • "Connectivity characterization of the mouse basolateral amygdalar complex" (2021, Nature Communications)
  • "BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets" (2023, Nature Methods)

Giorgio A. Ascoli's research fields center primarily on biochemistry, genetics and molecular biology as well as neuroscience. Within these domains, their subfields of study include:

  • Biophysics
  • Cognitive Neuroscience
  • Molecular Biology
  • Cellular and Molecular Neuroscience
  • Neurology

Their main topics of work cover a broad spectrum of neuroscience and related methodologies, with particular emphasis on:

  • Cell Image Analysis Techniques
  • Neural dynamics and brain function
  • Single-cell and spatial transcriptomics
  • Memory and Neural Mechanisms
  • Neuroscience and Neuropharmacology Research
  • Advanced Fluorescence Microscopy Techniques
  • Neuroinflammation and Neurodegeneration Mechanisms

Collaborations have been an important aspect of their scientific activity. Frequent co-authors include:

  • Michael Hawrylycz
  • Sumit Nanda
  • Hong-Wei Dong
  • Hongkui Zeng
  • Diek W. Wheeler

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

  • New insights into the classification and nomenclature of cortical GABAergic interneurons

    Javier DeFelipe;Pedro L. López-Cruz;Ruth Benavides-Piccione;Ruth Benavides-Piccione;Concha Bielza

  • NeuroMorpho.Org: a central resource for neuronal morphologies.

    Giorgio A. Ascoli;Duncan E. Donohue;Maryam Halavi

  • L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies.

    Ruggero Scorcioni;Sridevi Polavaram;Sridevi Polavaram;Giorgio A Ascoli;Giorgio A Ascoli

  • Mobilizing the base of neuroscience data: the case of neuronal morphologies

    Giorgio A. Ascoli

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

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

  • Cellular anatomy of the mouse primary motor cortex

    Rodrigo Muñoz-Castañeda;Brian Zingg;Brian Zingg;Katherine S. Matho;Xiaoyin Chen;Xiaoyin Chen

  • Neuronal morphology goes digital: a research hub for cellular and system neuroscience.

    Ruchi Parekh;Giorgio A. Ascoli

  • BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images

    Hanchuan Peng;Michael Hawrylycz;Jane Roskams;Sean Hill

  • The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience

    Daniel Gardner;Huda Akil;Giorgio A. Ascoli;Douglas M. Bowden

  • Drug binding to human serum albumin: Abridged review of results obtained with high-performance liquid chromatography and circular dichroism

    Giorgio A. Ascoli;Enrico Domenici;Carlo Bertucci

  • L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology☆

    Giorgio A Ascoli;Jeffrey L Krichmar

  • Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study

    Jeffrey L. Krichmar;Slawomir J. Nasuto;Slawomir J. Nasuto;Ruggero Scorcioni;Stuart D. Washington

  • Automated reconstruction of neuronal morphology: An overview

    Duncan E. Donohue;Giorgio A. Ascoli

  • Neuromantic – from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology

    Darren R. Myatt;Tye Hadlington;Giorgio A. Ascoli;Slawomir J. Nasuto

  • The NIFSTD and BIRNLex Vocabularies: Building Comprehensive Ontologies for Neuroscience

    William J. Bug;Giorgio A. Ascoli;Jeffrey S. Grethe;Amarnath Gupta

  • Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus

    Diek W Wheeler;Charise M White;Christopher L Rees;Alexander O Komendantov

  • The DIADEM Data Sets: Representative Light Microscopy Images of Neuronal Morphology to Advance Automation of Digital Reconstructions

    Kerry M. Brown;Germán Barrionuevo;Alison J. Canty;Alison J. Canty;Vincenzo De Paola

  • Generation, description and storage of dendritic morphology data

    Giorgio A. Ascoli;Jeffrey L. Krichmar;Jeffrey L. Krichmar;Slawomir J. Nasuto;Stephen L. Senft

  • Distinct classes of pyramidal cells exhibit mutually exclusive firing patterns in hippocampal area CA3b.

    Peter Hemond;Daniel Epstein;Angela Boley;Michele Migliore

  • Cellular Anatomy of the Mouse Primary Motor Cortex

    Rodrigo Muñoz-Castañeda;Brian Zingg;Katherine S. Matho;Quanxin Wang

Frequent Co-Authors

Michele Migliore
Michele Migliore National Academies of Sciences, Engineering, and Medicine
Jeffrey L. Krichmar
Jeffrey L. Krichmar University of California, Irvine
Michael Hawrylycz
Michael Hawrylycz Allen Institute for Brain Science
Erik De Schutter
Erik De Schutter Okinawa Institute of Science and Technology
David N. Kennedy
David N. Kennedy University of Massachusetts Chan Medical School
Hongkui Zeng
Hongkui Zeng Allen Institute for Brain Science
Gordon M. Shepherd
Gordon M. Shepherd Yale School of Medicine
Rafael Yuste
Rafael Yuste Columbia University
German Barrionuevo
German Barrionuevo University of Pittsburgh
Hong-Wei Dong
Hong-Wei Dong University of Southern California

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