World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 73 2004 1907 913 857 156 34043

Kun Zhang publications per year

The chart shows the history of publications by Kun Zhang between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kun Zhang published across 25 years, from 2001 to 2025, averaging 12.8 papers a year. Output peaked at 61 publications in 2023. 51 of the 319 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 61. Peak 61 publications in 2023. 2001: 1 publication 2002: 3 publications 2003: 4 publications 2004: 0 publications 2005: 2 publications 2006: 3 publications 2007: 5 publications 2008: 3 publications 2009: 8 publications 2010: 3 publications 2011: 17 publications 2012: 9 publications 2013: 12 publications 2014: 9 publications 2015: 5 publications 2016: 12 publications 2017: 9 publications 2018: 10 publications 2019: 11 publications 2020: 14 publications 2021: 18 publications 2022: 49 publications 2023: 61 publications 2024: 34 publications 2025: 17 publications
2001 2025

319 publications in total across all disciplines

View publications per year as a table
Kun Zhang: publications per year, 2001 to 2025
Year Publications
2001 1
2002 3
2003 4
2004 0
2005 2
2006 3
2007 5
2008 3
2009 8
2010 3
2011 17
2012 9
2013 12
2014 9
2015 5
2016 12
2017 9
2018 10
2019 11
2020 14
2021 18
2022 49
2023 61
2024 34
2025 17
Total 319
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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.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 155–164 publications, is where this scientist sits. 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
45–54 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.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188 156
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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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.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 72–73 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150 73
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
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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

  • 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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