World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
57
Citations
13665
World Ranking
4310
National Ranking
1951

Li I. Zhang 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 Li I. Zhang 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: 101 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Li I. Zhang 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 Li I. Zhang 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: 57 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Li I. Zhang is affiliated with the University of Southern California in the United States and specializes in neuroscience and related biological fields. Their research covers a broad spectrum within Neuroscience, as well as Biochemistry, Genetics, and Molecular Biology.

Their work frequently appears in prominent publication venues, including:

  • Nature Communications
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Neuron
  • Journal of Neuroscience

Recent notable papers by Li I. Zhang include:

  • "The mouse cortico-basal ganglia-thalamic network," published in 2021 in Nature
  • "Cellular anatomy of the mouse primary motor cortex," published in 2021 in Nature
  • "Synaptic Specificity and Application of Anterograde Transsynaptic AAV for Probing Neural Circuitry," published in 2020 in Journal of Neuroscience
  • "Medial preoptic area antagonistically mediates stress-induced anxiety and parental behavior," published in 2021 in Nature Neuroscience
  • "High-throughput mapping of a whole rhesus monkey brain at micrometer resolution," published in 2021 in Nature Biotechnology

Their frequent co-authors include Huizhong W. Tao, Guangwei Zhang, Junxiang Huang, Bo Peng, and Hong-Wei Dong.

Li I. Zhang's research spans several main fields of study with a significant focus on Neuroscience, supplemented by Biochemistry, Genetics, and Molecular Biology. Their subfields of research activity are:

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

The scientist's main research topics include:

  • Neural dynamics and brain function
  • Neuroscience and Neuropharmacology Research
  • Cell Image Analysis Techniques
  • Photoreceptor and optogenetics research
  • Single-cell and spatial transcriptomics
  • Neuroendocrine regulation and behavior
  • Memory and Neural Mechanisms

Best Publications

  • A critical window for cooperation and competition among developing retinotectal synapses

    Li I. Zhang;Huizhong W. Tao;Christine E. Holt;William A. Harris

  • Electrical activity and development of neural circuits

    Li I. Zhang;Mu-ming Poo

  • AAV-Mediated Anterograde Transsynaptic Tagging: Mapping Corticocollicular Input-Defined Neural Pathways for Defense Behaviors.

    Brian Zingg;Xiao-lin Chou;Zheng-gang Zhang;Lukas Mesik

  • At the interface of sensory and motor dysfunctions and Alzheimer's disease

    Mark W. Albers;Grover C. Gilmore;Jeffrey Kaye;Claire Murphy

  • Persistent and specific influences of early acoustic environments on primary auditory cortex

    Li I. Zhang;Shaowen Bao;Michael M. Merzenich

  • Topography and synaptic shaping of direction selectivity in primary auditory cortex.

    Li I. Zhang;Andrew Y. Y. Tan;Christoph E. Schreiner;Michael M. Merzenich

  • A genetically encoded fluorescent acetylcholine indicator for in vitro and in vivo studies

    Miao Jing;Miao Jing;Miao Jing;Peng Zhang;Guangfu Wang;Guangfu Wang;Jiesi Feng;Jiesi Feng;Jiesi Feng

  • Scaling down of balanced excitation and inhibition by active behavioral states in auditory cortex

    Mu Zhou;Feixue Liang;Xiaorui R Xiong;Lu Li

  • Lateral sharpening of cortical frequency tuning by approximately balanced inhibition.

    Guangying K. Wu;Robert Arbuckle;Bao-hua Liu;Huizhong W. Tao

  • Cross-Modality Sharpening of Visual Cortical Processing through Layer-1-Mediated Inhibition and Disinhibition.

    Leena A. Ibrahim;Lukas Mesik;Xu-ying Ji;Qi Fang

  • Tone-Evoked Excitatory and Inhibitory Synaptic Conductances of Primary Auditory Cortex Neurons

    Andrew Y. Y. Tan;Li I. Zhang;Michael M. Merzenich;Christoph E. Schreiner

  • Disruption of primary auditory cortex by synchronous auditory inputs during a critical period

    Li I. Zhang;Shaowen Bao;Michael M. Merzenich

  • Neurite outgrowth inhibitor Nogo-A establishes spatial segregation and extent of oligodendrocyte myelination

    S. Y Christin Chong;Sheila S. Rosenberg;Stephen P J Fancy;Chao Zhao

  • The mouse cortico-basal ganglia-thalamic network.

    Nicholas N. Foster;Nicholas N. Foster;Joshua Barry;Laura Korobkova;Luis Garcia;Luis Garcia

  • Visual Representations by Cortical Somatostatin Inhibitory Neurons—Selective But with Weak and Delayed Responses

    Wen-pei Ma;Bao-hua Liu;Ya-tang Li;Z. Josh Huang

  • Cellular anatomy of the mouse primary motor cortex

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

  • Defining cortical frequency tuning with recurrent excitatory circuitry.

    Baohua B. Liu;Guangying K. Wu;Robert Arbuckle;Robert Arbuckle;Huizhong W. Tao

  • Fine-Tuning of Pre-Balanced Excitation and Inhibition During Auditory Cortical Development

    Yujiao J. Sun;Guangying K. Wu;Bao-hua Liu;Pingyang Li

  • Nonmonotonic Synaptic Excitation and Imbalanced Inhibition Underlying Cortical Intensity Tuning

    Guangying K. Wu;Pingyang Li;Huizhong W. Tao;Li I. Zhang

  • Broad inhibition sharpens orientation selectivity by expanding input dynamic range in mouse simple cells

    Bao hua Liu;Ya tang Li;Wen pei Ma;Chen jie Pan

  • Linear transformation of thalamocortical input by intracortical excitation.

    Ya-tang Li;Leena A Ibrahim;Bao-hua Liu;Li I Zhang

  • Visual receptive field structure of cortical inhibitory neurons revealed by two-photon imaging guided recording.

    Bao-hua Liu;Pingyang Li;Ya-tang Li;Yujiao J. Sun

Frequent Co-Authors

Huizhong W. Tao
Huizhong W. Tao University of Southern California
Mu-ming Poo
Mu-ming Poo Chinese Academy of Sciences
Yulong Li
Yulong Li Peking University
Michael M. Merzenich
Michael M. Merzenich University of California, San Francisco
Shaowen Bao
Shaowen Bao University of Arizona
Christoph E. Schreiner
Christoph E. Schreiner University of California, San Francisco
Aldons J. Lusis
Aldons J. Lusis University of California, Los Angeles
Minmin Luo
Minmin Luo Tsinghua University
Florian Engert
Florian Engert Harvard University
Lorna W. Role
Lorna W. Role Stony Brook University

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