World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
97
Citations
54490
World Ranking
816
National Ranking
444

Hongkui Zeng 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 Hongkui Zeng 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: 271 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.

Hongkui Zeng 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 Hongkui Zeng 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: 97 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Hongkui Zeng is affiliated with the Allen Institute for Brain Science in the United States. Their research spans numerous areas within biochemistry, genetics, molecular biology, and neuroscience. The scientist has a significant output in molecular biology, cognitive neuroscience, biophysics, cellular and molecular neuroscience, and neurology.

Key topics in Zeng's work include:

  • Single-cell and spatial transcriptomics
  • Neural dynamics and brain function
  • Cell image analysis techniques
  • Neuroinflammation and neurodegeneration mechanisms
  • Neuroscience and neuropharmacology research
  • Advanced fluorescence microscopy techniques
  • RNA research and splicing

Zeng has published numerous important papers with notable recent works including:

  • The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas, 2020, Cell
  • A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation, 2021, Cell
  • Survey of spiking in the mouse visual system reveals functional hierarchy, 2021, Nature
  • A multimodal cell census and atlas of the mammalian primary motor cortex, 2021, Nature
  • Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells, 2020, Cell

Frequent co-authors in Zeng's research include Bosiljka Tasic, Zizhen Yao, Kimberly A. Smith, Tanya L. Daigle, and Michael Hawrylycz, reflecting active collaboration within the neuroscience community.

Zeng has published extensively in several academic venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Nature Neuroscience
  • Cell Reports
  • Cell

The body of work produced by Zeng integrates molecular and cellular neuroscience with advanced imaging and transcriptomic techniques, contributing to understanding brain structure and function at multiple scales. The combination of single-cell and spatial transcriptomics with neural dynamics studies is a defining characteristic of their research portfolio.

Best Publications

  • A robust and high-throughput Cre reporting and characterization system for the whole mouse brain

    Linda Madisen;Theresa A Zwingman;Susan M Sunkin;Seung Wook Oh

  • A mesoscale connectome of the mouse brain

    Seung Wook Oh;Julie A. Harris;Lydia Ng;Brent Winslow

  • Shared and distinct transcriptomic cell types across neocortical areas

    Bosiljka Tasic;Zizhen Yao;Lucas T. Graybuck;Kimberly A. Smith

  • Adult mouse cortical cell taxonomy revealed by single cell transcriptomics

    Bosiljka Tasic;Vilas Menon;Thuc Nghi Nguyen;Tae Kyung Kim

  • Conserved cell types with divergent features in human versus mouse cortex.

    Rebecca D. Hodge;Trygve E. Bakken;Jeremy A. Miller;Kimberly A. Smith

  • A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing

    Linda Madisen;Tianyi Mao;Tianyi Mao;Henner Koch;Jia Min Zhuo

  • The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas.

    Quanxin Wang;Song-Lin Ding;Yang Li;Josh Royall

  • Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance.

    Linda Madisen;Aleena R. Garner;Daisuke Shimaoka;Amy S. Chuong

  • A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation.

    Zizhen Yao;Cindy T.J. van Velthoven;Thuc Nghi Nguyen;Jeff Goldy

  • The G protein-coupled receptor repertoires of human and mouse.

    Demetrios K. Vassilatis;John G. Hohmann;Hongkui Zeng;Fusheng Li

  • A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain

    Unknown

  • Neuronal cell-type classification: challenges, opportunities and the path forward

    Hongkui Zeng;Joshua R. Sanes

  • A Suite of Transgenic Driver and Reporter Mouse Lines with Enhanced Brain-Cell-Type Targeting and Functionality

    Tanya L. Daigle;Linda Madisen;Travis A. Hage;Matthew T. Valley

  • Hierarchical organization of cortical and thalamic connectivity

    Julie A. Harris;Stefan Mihalas;Karla E. Hirokawa;Jennifer D. Whitesell

  • Differential Control of Learning and Anxiety along the Dorsoventral Axis of the Dentate Gyrus

    Mazen A. Kheirbek;Liam J. Drew;Nesha S. Burghardt;Daniel O. Costantini

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

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

  • Single-nucleus and single-cell transcriptomes compared in matched cortical cell types.

    Trygve E. Bakken;Rebecca D. Hodge;Jeremy A. Miller;Zizhen Yao

  • Survey of spiking in the mouse visual system reveals functional hierarchy

    Joshua H. Siegle;Xiaoxuan Jia;Séverine Durand;Sam Gale

  • A light-entrainment mechanism for the Drosophila circadian clock.

    Hongkui Zeng;Zuwei Qian;Michael P. Myers;Michael Rosbash

  • Forebrain-specific calcineurin knockout selectively impairs bidirectional synaptic plasticity and working/episodic-like memory.

    Hongkui Zeng;Sumantra Chattarji;Sumantra Chattarji;Michaela Barbarosie;Laure Rondi-Reig

  • Conditional calcineurin knockout mice exhibit multiple abnormal behaviors related to schizophrenia

    Tsuyoshi Miyakawa;Lorene M. Leiter;David J. Gerber;Raul R. Gainetdinov

  • Mind matters: placebo enhances reward learning in Parkinson's disease

    Liane Schmidt;Erin Kendall Braun;Tor D Wager;Daphna Shohamy

  • A Taxonomy of Transcriptomic Cell Types Across the Isocortex and Hippocampal Formation

    Zizhen Yao;Thuc Nghi Nguyen;Cindy T. J. van Velthoven;Jeff Goldy

  • A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing

    Linda Madisen;Tianyi Mao;Henner Koch;Jia-min Zhuo

Frequent Co-Authors

Bosiljka Tasic
Bosiljka Tasic Allen Institute for Brain Science
Ed S. Lein
Ed S. Lein University of Washington
Michael Hawrylycz
Michael Hawrylycz Allen Institute for Brain Science
Zizhen Yao
Zizhen Yao Allen Institute for Brain Science
Christof Koch
Christof Koch Allen Institute for Brain Science
Kimberly A. Smith
Kimberly A. Smith Allen Institute for Brain Science
Julie A. Harris
Julie A. Harris University of California, San Francisco
Amy Bernard
Amy Bernard Kavli Foundation
Jonathan T. Ting
Jonathan T. Ting Allen Institute for Brain Science
Lydia Ng
Lydia Ng Allen Institute for Brain Science

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