World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
43
Citations
17008
World Ranking
4272
National Ranking
1843

Lingyun Song 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 Lingyun Song 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: 71 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Lingyun Song 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 Lingyun Song 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: 43 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Overview

Lingyun Song is affiliated with Duke University in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with a focus on molecular biology, artificial intelligence, genetics, infectious diseases, and epidemiology.

Their work concentrates on several main research topics, including:

  • Genomics and Chromatin Dynamics
  • Epigenetics and DNA Methylation
  • Tuberculosis Research and Epidemiology
  • Congenital heart defects research
  • RNA Research and Splicing
  • Gene expression and cancer classification
  • MicroRNA in disease regulation

Lingyun Song has contributed to publications in several venues, reflecting their multidisciplinary interests. Frequent publication venues include:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Development
  • Scientific Data

Notable recent papers authored or co-authored by Lingyun Song feature a range of topics related to gene regulation and brain disorders:

  • Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions, 2020, Scientific Data
  • Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders, 2021, Nature Communications
  • Identification and requirements of enhancers that direct gene expression during zebrafish fin regeneration, 2020, Development
  • Functional annotation of rare structural variation in the human brain, 2020, Nature Communications
  • Enhancer selection dictates gene expression responses in remote organs during tissue regeneration, 2022, Nature Cell Biology

Lingyun Song collaborates frequently with a select group of researchers, including:

  • Gregory E. Crawford
  • Alexias Safi
  • Yilin Zhang
  • Feng Sun
  • Shijia Ge

Best Publications

  • The accessible chromatin landscape of the human genome

    Robert E. Thurman;Eric Rynes;Richard Humbert;Jeff Vierstra

  • An integrated encyclopedia of DNA elements in the human genome

    Ian Dunham;Anshul Kundaje;Shelley F. Aldred;Patrick J. Collins

  • A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

    Richard M. Myers;John Stamatoyannopoulos;Michael Snyder;Ian Dunham

  • Highly specific epigenome editing by CRISPR-Cas9 repressors for silencing of distal regulatory elements

    Pratiksha I Thakore;Anthony M D'Ippolito;Lingyun Song;Alexias Safi

  • DNase-seq: A High-Resolution Technique for Mapping Active Gene Regulatory Elements across the Genome from Mammalian Cells

    Lingyun Song;Gregory E. Crawford

  • Open chromatin defined by DNaseI and FAIRE identifies regulatory elements that shape cell-type identity

    Lingyun Song;Zhancheng Zhang;Linda L. Grasfeder;Alan P. Boyle

  • Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights

    Alexander Gusev;Alexander Gusev;Nicholas Mancuso;Hyejung Won;Maria Kousi

  • CRISPR–Cas9 epigenome editing enables high-throughput screening for functional regulatory elements in the human genome

    Tyler S Klann;Joshua B Black;Malathi Chellappan;Alexias Safi

  • High-resolution genome-wide in vivo footprinting of diverse transcription factors in human cells

    Alan P. Boyle;Lingyun Song;Bum Kyu Lee;Darin London

  • Heritable Individual-Specific and Allele-Specific Chromatin Signatures in Humans

    Ryan McDaniell;Bum Kyu Lee;Lingyun Song;Zheng Liu

  • Transcriptome and epigenome landscape of human cortical development modeled in organoids

    Anahita Amiri;Gianfilippo Coppola;Soraya Scuderi;Feinan Wu

  • Genomic distribution of CHD7 on chromatin tracks H3K4 methylation patterns

    Michael P. Schnetz;Cynthia F. Bartels;Kuntal Shastri;Dheepa Balasubramanian

  • Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactions

    Nathan C. Sheffield;Robert E. Thurman;Lingyun Song;Alexias Safi

  • CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder.

    Gabriel E. Hoffman;Jaroslav Bendl;Georgios Voloudakis;Kelsey S. Montgomery

  • Global epigenomic analysis of primary human pancreatic islets provides insights into type 2 diabetes susceptibility loci

    Michael L. Stitzel;Praveen Sethupathy;Daniel S. Pearson;Peter S. Chines

  • Site-specific silencing of regulatory elements as a mechanism of X-inactivation

    J. Mauro Calabrese;Wei Sun;Lingyun Song;Joshua W. Mugford

  • Effects of sequence variation on differential allelic transcription factor occupancy and gene expression

    Timothy E. Reddy;Jason Gertz;Florencia Pauli;Katerina S. Kucera

  • Direct GR Binding Sites Potentiate Clusters of TF Binding across the Human Genome.

    Christopher M. Vockley;Anthony M. D’Ippolito;Ian C. McDowell;William H. Majoros

  • Epigenomic comparison reveals activation of "seed" enhancers during transition from naive to primed pluripotency.

    Daniel C. Factor;Olivia Corradin;Gabriel E. Zentner;Alina Saiakhova

  • Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia

    Julien Bryois;Melanie E. Garrett;Lingyun Song;Alexias Safi

Frequent Co-Authors

Gregory E. Crawford
Gregory E. Crawford Duke University
Terrence S. Furey
Terrence S. Furey University of North Carolina at Chapel Hill
Charles A. Gersbach
Charles A. Gersbach Duke University
Vishwanath R. Iyer
Vishwanath R. Iyer The University of Texas at Austin
Allison E. Ashley-Koch
Allison E. Ashley-Koch Duke University
Patrick F. Sullivan
Patrick F. Sullivan University of North Carolina at Chapel Hill
Ewan Birney
Ewan Birney European Molecular Biology Laboratory
Jason D. Lieb
Jason D. Lieb University of Chicago
Vahram Haroutunian
Vahram Haroutunian Icahn School of Medicine at Mount Sinai
Melanie Ehrlich
Melanie Ehrlich Tulane University

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