World's Best Scientists 2026 revealed!
Guoping Feng

Guoping Feng

D-Index & Metrics

Neuroscience

D-Index
102
Citations
42469
World Ranking
703
National Ranking
394

Guoping Feng 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 Guoping Feng 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: 214 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Guoping Feng 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 Guoping Feng 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: 102 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Overview

Guoping Feng is a researcher affiliated with MIT in the United States, with a significant body of work spanning biochemistry, genetics, molecular biology, and neuroscience. Their research focuses on several specialized areas, including molecular biology, cellular and molecular neuroscience, cognitive neuroscience, genetics, and biophysics.

The main topics of their research encompass single-cell and spatial transcriptomics, neuroscience and neuropharmacology research, neural dynamics and brain function, neuroinflammation and neurodegeneration mechanisms, cell image analysis techniques, CRISPR and genetic engineering, and neurogenesis and neuroplasticity mechanisms.

Guoping Feng has published extensively, with notable papers in leading journals. Some of the recent publications include:

  • A multimodal cell census and atlas of the mammalian primary motor cortex, 2021, Nature
  • Multi-animal pose estimation, identification and tracking with DeepLabCut, 2022, Nature Methods
  • AAV capsid variants with brain-wide transgene expression and decreased liver targeting after intravenous delivery in mouse and marmoset, 2021, Nature Neuroscience
  • Innovations present in the primate interneuron repertoire, 2020, Nature
  • Viral manipulation of functionally distinct interneurons in mice, non-human primates and humans, 2020, Nature Neuroscience

Their research has been disseminated through several publication venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Neuroscience
  • Neuron

Frequent collaborators in their research include:

  • Qiangge Zhang
  • Fenna M. Krienen
  • Steven A. McCarroll
  • William Menegas
  • Ricardo C.H. del Rosario

The combination of these research fields, topics, and collaborations highlights a broad interdisciplinary approach with a focus on advancing understanding in molecular and cellular mechanisms underlying neuroscience, genetic engineering, and brain function.

Best Publications

  • Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP.

    Guoping Feng;Rebecca H. Mellor;Michael Bernstein;Cynthia Keller-Peck

  • Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex

    Joshua T. Trachtenberg;Brian E. Chen;Graham W. Knott;Guoping Feng

  • CRISPR-Cas9 Knockin Mice for Genome Editing and Cancer Modeling

    Randall J. Platt;Sidi Chen;Yang Zhou;Michael J. Yim

  • Shank3 mutant mice display autistic-like behaviours and striatal dysfunction

    João Peça;Cátia Feliciano;Jonathan T. Ting;Wenting Wang

  • Next-Generation Optical Technologies for Illuminating Genetically Targeted Brain Circuits

    Karl Deisseroth;Guoping Feng;Ania K. Majewska;Gero Miesenböck

  • SynGO : An Evidence-Based, Expert-Curated Knowledge Base for the Synapse

    Frank Koopmans;Pim van Nierop;Maria Andres-Alonso;Andrea Byrnes

  • Cortico-striatal synaptic defects and OCD-like behaviours in Sapap3 -mutant mice

    Jeffrey M. Welch;Jing Lu;Ramona M. Rodriguiz;Nicholas C. Trotta

  • A transcription activator-like effector toolbox for genome engineering

    Neville E Sanjana;Le Cong;Le Cong;Le Cong;Yang Zhou;Yang Zhou;Margaret M Cunniff;Margaret M Cunniff

  • In Vivo Light-Induced Activation of Neural Circuitry in Transgenic Mice Expressing Channelrhodopsin-2

    Benjamin R. Arenkiel;Joao Peca;Joao Peca;Ian G. Davison;Ian G. Davison;Catia Feliciano

  • Sustained axon regeneration induced by co-deletion of PTEN and SOCS3

    Fang Sun;Kevin K. Park;Stephane Belin;Dongqing Wang

  • Flow of Cortical Activity Underlying a Tactile Decision in Mice

    Zengcai V. Guo;Nuo Li;Daniel Huber;Eran Ophir

  • Comparative cellular analysis of motor cortex in human, marmoset and mouse

    Trygve E. Bakken;Nikolas L. Jorstad;Qiwen Hu;Blue B. Lake

  • Cell type-specific channelrhodopsin-2 transgenic mice for optogenetic dissection of neural circuitry function

    Shengli Zhao;Jonathan T Ting;Jonathan T Ting;Hisham E Atallah;Li Qiu

  • Acute Brain Slice Methods for Adult and Aging Animals: Application of Targeted Patch Clamp Analysis and Optogenetics

    Jonathan T. Ting;Tanya L. Daigle;Tanya L. Daigle;Qian Chen;Guoping Feng

  • SHANK proteins: roles at the synapse and in autism spectrum disorder

    Patricia Monteiro;Guoping Feng

  • Fast modulation of visual perception by basal forebrain cholinergic neurons

    Lucas Pinto;Michael J Goard;Michael J Goard;Daniel Estandian;Min Xu

  • A viral strategy for targeting and manipulating interneurons across vertebrate species

    Jordane Dimidschstein;Jordane Dimidschstein;Qian Chen;Robin Tremblay;Stephanie L. Rogers

  • Dual requirement for gephyrin in glycine receptor clustering and molybdoenzyme activity.

    Guoping Feng;Hartmut Tintrup;Joachim Kirsch;Mia C. Nichol

  • High-speed mapping of synaptic connectivity using photostimulation in Channelrhodopsin-2 transgenic mice

    H. Wang;J. Peca;M. Matsuzaki;K. Matsuzaki

  • Optogenetic Stimulation of Lateral Orbitofronto-Striatal Pathway Suppresses Compulsive Behaviors

    Eric Burguière;Patrícia Monteiro;Guoping Feng;Ann M. Graybiel

  • Neurotechnique Imaging Neuronal Subsets in Transgenic Mice Expressing Multiple Spectral Variants of GFP

    Guoping Feng;Rebecca H. Mellor;Michael Bernstein;Cynthia Keller-Peck

Frequent Co-Authors

Jonathan T. Ting
Jonathan T. Ting Allen Institute for Brain Science
Joshua R. Sanes
Joshua R. Sanes Harvard University
Boaz Barak
Boaz Barak Harvard University
Karl Deisseroth
Karl Deisseroth Stanford University
Gord Fishell
Gord Fishell Harvard Medical School
Steven A. McCarroll
Steven A. McCarroll Harvard University
Jeff W. Lichtman
Jeff W. Lichtman Harvard University

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