World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
73
Citations
34043
World Ranking
2004
National Ranking
913

Kun Zhang 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 Kun Zhang 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: 156 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Kun Zhang 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 Kun Zhang 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: 73 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Kun Zhang is affiliated with the University of California, San Diego in the United States. Their research spans the fields of Medicine and Biochemistry, Genetics, and Molecular Biology, with significant contributions in subfields including Molecular Biology, Cancer Research, Epidemiology, Hepatology, and Surgery.

The scientist's main research topics encompass molecular mechanisms related to cancer, liver disease diagnosis and treatment, circular RNAs in diseases, microRNA regulation in disease, RNA modifications with a focus on cancer, RNA research and splicing, and studies related to inflammasomes and immune disorders.

Kun Zhang has contributed to several recent peer-reviewed publications, including:

  • Advances in Hyaluronic Acid for Biomedical Applications, 2022, Frontiers in Bioengineering and Biotechnology
  • Silencing lncRNA Lfar1 alleviates the classical activation and pyoptosis of macrophage in hepatic fibrosis, 2020, Cell Death and Disease
  • Long non-coding RNA in cervical cancer: From biology to therapeutic opportunity, 2020, Biomedicine & Pharmacotherapy
  • Antidepressant Effect of Paeoniflorin Is Through Inhibiting Pyroptosis CASP-11/GSDMD Pathway, 2020, Molecular Neurobiology
  • Sodium alginate/collagen hydrogel loaded with human umbilical cord mesenchymal stem cells promotes wound healing and skin remodeling, 2020, Cell and Tissue Research

The scientist frequently publishes in the following venues:

  • Frontiers in Oncology
  • Bioorganic Chemistry
  • Research Square (Research Square)
  • SSRN Electronic Journal
  • Acta Biochimica et Biophysica Sinica

Frequent collaborators include the researchers:

  • Hong Wei
  • Lina Zheng
  • Zhemin Shi
  • Tao Han
  • Jingshun Gu

Best Publications

  • SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues.

    Carly G.K. Ziegler;Samuel J. Allon;Sarah K. Nyquist;Ian M. Mbano

  • Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genome

    Jay Shendure;Gregory J. Porreca;Nikos B. Reppas;Xiaoxia Lin

  • Somatic coding mutations in human induced pluripotent stem cells

    Athurva Gore;Zhe Li;Ho Lim Fung;Jessica E. Young

  • In vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration

    Keiichiro Suzuki;Yuji Tsunekawa;Reyna Hernández-Benítez;Reyna Hernández-Benítez;Jun Wu;Jun Wu

  • Increased methylation variation in epigenetic domains across cancer types

    Kasper Daniel Hansen;Winston Timp;Winston Timp;Héctor Corrada Bravo;Héctor Corrada Bravo;Sarven Sabunciyan

  • Interrogating a High-Density SNP Map for Signatures of Natural Selection

    Joshua M. Akey;Ge Zhang;Kun Zhang;Kun Zhang;Li Jin

  • Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain.

    Blue B Lake;Song Chen;Brandon C Sos;Jean Fan

  • Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain.

    Blue B. Lake;Rizi Ai;Gwendolyn E. Kaeser;Gwendolyn E. Kaeser;Neeraj S. Salathia

  • Neuronal activity modifies the DNA methylation landscape in the adult brain

    Junjie U. Guo;Dengke K. Ma;Huan Mo;Madeleine P. Ball

  • Genome-wide Regulation of 5hmC, 5mC, and Gene Expression by Tet1 Hydroxylase in Mouse Embryonic Stem Cells

    Yufei Xu;Feizhen Wu;Li Tan;Lingchun Kong

  • Whole-Genome Sequencing in Autism Identifies Hot Spots for De Novo Germline Mutation

    Jacob J. Michaelson;Yujian Shi;Madhusudan Gujral;Hancheng Zheng

  • Recapitulation of premature ageing with iPSCs from Hutchinson–Gilford progeria syndrome

    Guang Hui Liu;Basam Z. Barkho;Sergio Ruiz;Dinh Diep

  • Multiplex amplification of large sets of human exons

    Gregory J Porreca;Kun Zhang;Kun Zhang;Jin Billy Li;Bin Xie

  • Genome-Wide Identification of Human RNA Editing Sites by Parallel DNA Capturing and Sequencing

    Jin Billy Li;Erez Y. Levanon;Jung-Ki Yoon;John Aach

  • High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell.

    Song Chen;Blue B Lake;Kun Zhang

  • Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues

    Je Hyuk Lee;Evan R Daugharthy;Jonathan Scheiman;Reza Kalhor

  • Targeted bisulfite sequencing reveals changes in DNA methylation associated with nuclear reprogramming

    Jie Deng;Robert Shoemaker;Bin Xie;Athurva Gore

  • The metabolome of induced pluripotent stem cells reveals metabolic changes occurring in somatic cell reprogramming.

    Athanasia D Panopoulos;Oscar Yanes;Sergio Ruiz;Yasuyuki S Kida

  • Distribution of Recombination Crossovers and the Origin of Haplotype Blocks: The Interplay of Population History, Recombination, and Mutation

    Ning Wang;Joshua M. Akey;Kun Zhang;Ranajit Chakraborty

  • Genome-wide Analysis Reveals TET- and TDG-Dependent 5-Methylcytosine Oxidation Dynamics

    Li Shen;Hao Wu;Dinh Diep;Shinpei Yamaguchi;Shinpei Yamaguchi

Frequent Co-Authors

George M. Church
George M. Church Harvard University
Jerold Chun
Jerold Chun Sanford Burnham Prebys Medical Discovery Institute
Li Jin
Li Jin Fudan University
Jay Shendure
Jay Shendure University of Washington
Len A. Pennacchio
Len A. Pennacchio Lawrence Berkeley National Laboratory
Peter V. Kharchenko
Peter V. Kharchenko Harvard University
Aviv Regev
Aviv Regev Genentech
Guang-Hui Liu
Guang-Hui Liu Chinese Academy of Sciences
Axel Visel
Axel Visel Lawrence Berkeley National Laboratory

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