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D-Index & Metrics

Genetics

D-Index
60
Citations
21043
World Ranking
3114
National Ranking
1360

Zizhen Yao publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Zizhen Yao sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 104 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Zizhen Yao D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Zizhen Yao sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 60 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

Zizhen Yao is affiliated with the Allen Institute for Brain Science in the United States. Their research primarily focuses on neuroscience and molecular biology with significant contributions to biochemistry, genetics, and molecular biology.

The scientist's work spans several subfields, including molecular biology, neurology, cognitive neuroscience, biophysics, and cellular and molecular neuroscience. The main topics covered in their research include single-cell and spatial transcriptomics, neuroinflammation and neurodegeneration mechanisms, neural dynamics and brain function, cell image analysis techniques, RNA research and splicing, neuroscience and neuropharmacology research, and immune cells in cancer.

Recent published papers by Zizhen Yao include:

  • A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation (2021, Cell)
  • A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain (2023, Nature)
  • Comparative cellular analysis of motor cortex in human, marmoset and mouse (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)

The frequent co-authors collaborating with Zizhen Yao include:

  • Hongkui Zeng
  • Bosiljka Tasic
  • Kimberly A. Smith
  • Jeff Goldy
  • Nick Dee

Zizhen Yao publishes extensively in various scientific journals, with the most frequent publication venues being:

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

Best Publications

  • 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

  • Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding

    Alexander B. Rosenberg;Charles M. Roco;Richard A. Muscat;Anna Kuchina

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

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

  • 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

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

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

  • Canonical Genetic Signatures of the Adult Human Brain

    Michael Hawrylycz;Jeremy A. Miller;Vilas Menon;David Feng

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

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

  • Genome-wide MyoD Binding in Skeletal Muscle Cells: A Potential for Broad Cellular Reprogramming

    Yi Cao;Zizhen Yao;Deepayan Sarkar;Michael Lawrence

  • Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells.

    Nathan W. Gouwens;Staci A. Sorensen;Fahimeh Baftizadeh;Agata Budzillo

  • Spatially resolved cell atlas of the mouse primary motor cortex by MERFISH.

    Meng Zhang;Meng Zhang;Stephen W. Eichhorn;Stephen W. Eichhorn;Brian Zingg;Brian Zingg;Zizhen Yao

  • DUX4 Activates Germline Genes, Retroelements, and Immune Mediators: Implications for Facioscapulohumeral Dystrophy

    Linda N. Geng;Zizhen Yao;Lauren Snider;Abraham P. Fong

  • CMfinder---a covariance model based RNA motif finding algorithm

    Zizhen Yao;Zasha Weinberg;Walter L. Ruzzo

  • Morphological diversity of single neurons in molecularly defined cell types

    Hanchuan Peng;Hanchuan Peng;Peng Xie;Lijuan Liu;Xiuli Kuang

  • Identification of 22 candidate structured RNAs in bacteria using the CMfinder comparative genomics pipeline.

    Zasha Weinberg;Jeffrey E. Barrick;Zizhen Yao;Adam Roth

  • Phenotypic variation of transcriptomic cell types in mouse motor cortex

    Federico Scala;Dmitry Kobak;Matteo Bernabucci;Yves Bernaerts

  • 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 multimodal cell census and atlas of the mammalian primary motor cortex

    Ricky Adkins;Andrew Aldridge;Shona Allen

  • CMfinder—acovariancemodelbasedRNA motiffinding algorithm

    Zizhen Yao;Zasha Weinberg;Walter L. Ruzzo

Frequent Co-Authors

Bosiljka Tasic
Bosiljka Tasic Allen Institute for Brain Science
Hongkui Zeng
Hongkui Zeng Allen Institute for Brain Science
Kimberly A. Smith
Kimberly A. Smith Allen Institute for Brain Science
Stephen J. Tapscott
Stephen J. Tapscott Fred Hutchinson Cancer Research Center
Michael Hawrylycz
Michael Hawrylycz Allen Institute for Brain Science
Ed S. Lein
Ed S. Lein University of Washington
Walter L. Ruzzo
Walter L. Ruzzo University of Washington
Christof Koch
Christof Koch Allen Institute for Brain Science
Jonathan T. Ting
Jonathan T. Ting Allen Institute for Brain Science
Songlin Ding
Songlin Ding RMIT University

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