World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
96
Citations
44451
World Ranking
857
National Ranking
430

Medicine

D-Index
99
Citations
46653
World Ranking
8458
National Ranking
4372

Chun-Yu Liu 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 Chun-Yu Liu 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: 485 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Chun-Yu Liu 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 Chun-Yu Liu 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: 96 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Chun-Yu Liu is affiliated with Boston University in the United States and has a research profile that spans multiple aspects of biochemistry, genetics, and molecular biology. Their work integrates several specialized subfields including molecular biology, genetics, electrical and electronic engineering, cancer research, and clinical psychology.

The scientist's research topics cover diverse areas such as:

  • Epigenetics and DNA Methylation
  • Genetic Associations and Epidemiology
  • Gene expression and cancer classification
  • Bioinformatics and Genomic Networks
  • Single-cell and spatial transcriptomics
  • Genetics and Neurodevelopmental Disorders
  • RNA modifications and cancer

Their recent significant publications include:

  • A unified framework for joint-tissue transcriptome-wide association and Mendelian randomization analysis (2020, Nature Genetics)
  • Ultrafast Luminescent Light-Up Guest Detection Based on the Lock of the Host Molecular Vibration (2020, Journal of the American Chemical Society)
  • ALOX15-launched PUFA-phospholipids peroxidation increases the susceptibility of ferroptosis in ischemia-induced myocardial damage (2022, Signal Transduction and Targeted Therapy)
  • Microglia-containing human brain organoids for the study of brain development and pathology (2022, Molecular Psychiatry)
  • Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders (2021, Nature Communications)

Chun-Yu Liu has collaborated frequently with a group of co-authors, including Chao Chen, Rujia Dai, Yi Jiang, Yan Xia, and Xusheng Wang. This network reflects sustained partnerships in research endeavors.

Their work has been published predominantly in venues such as bioRxiv (Cold Spring Harbor Laboratory), Molecular Psychiatry, European Neuropsychopharmacology, Research Square, and Remote Sensing, indicating a broad dissemination of research findings across multiple scientific forums.

Best Publications

  • Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study.

    Caroline S. Fox;Joseph M. Massaro;Udo Hoffmann;Karla M. Pou

  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Genome-wide association study identifies 30 loci associated with bipolar disorder

    Eli A. Stahl;Eli A. Stahl;Gerome Breen;Andreas J. Forstner;Andrew McQuillin

  • Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4

    Pamela Sklar;Pamela Sklar;Stephan Ripke;Stephan Ripke;Laura J. Scott;Ole A. Andreassen

  • Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder

    Michael J. Gandal;Pan Zhang;Evi Hadjimichael;Rebecca L. Walker

  • TRAF1–C5 as a Risk Locus for Rheumatoid Arthritis — A Genomewide Study

    Robert M. Plenge;Mark Seielstad;Leonid Padyukov;Annette T. Lee

  • Epigenetic Signatures of Cigarette Smoking

    Roby Joehanes;Allan C. Just;Riccardo E. Marioni;Luke C. Pilling

  • Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap

    Michael J. Gandal;Jillian R. Haney;Neelroop N. Parikshak;Virpi Leppa

  • Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

    Douglas M. Ruderfer;Stephan Ripke;Stephan Ripke;Stephan Ripke;Andrew McQuillin;James Boocock

  • Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

    Colm O'Dushlaine;Lizzy Rossin;Phil H. Lee;Laramie Duncan;Laramie Duncan

  • Galectin-3, a marker of cardiac fibrosis, predicts incident heart failure in the community.

    Jennifer E. Ho;Chunyu Liu;Asya Lyass;Paul Courchesne

  • Mutations in the gene encoding gap junction protein beta-3 associated with autosomal dominant hearing impairment.

    Jia Hui Xia;Chunyu Liu;Bei Sha Tang;Qian Pan

  • Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods.

    Chao Chen;Chao Chen;Kay Grennan;Judith Badner;Dandan Zhang

  • Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk

    Helen R Warren;Evangelos Evangelou;Evangelos Evangelou;Claudia P Cabrera;He Gao

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease

    Nathan O. Stitziel;Kathleen E. Stirrups;Nicholas G. D. Masca;Jeanette Erdmann

  • Genetic control of individual differences in gene-specific methylation in human brain.

    Dandan Zhang;Lijun Cheng;Judith A. Badner;Chao Chen

  • Genome-wide association study of obsessive-compulsive disorder.

    S. E. Stewart;D. Yu;J. M. Scharf;B. M. Neale

  • Genome-wide association study of bipolar disorder in European American and African American individuals.

    E. N. Smith;E. N. Smith;C. S. Bloss;J. A. Badner;T. Barrett

Frequent Co-Authors

Daniel Levy
Daniel Levy National Institutes of Health
Elliot S. Gershon
Elliot S. Gershon University of Chicago
Judith A. Badner
Judith A. Badner Rush University Medical Center
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Bruce M. Psaty
Bruce M. Psaty University of Washington
Roby Joehanes
Roby Joehanes National Institutes of Health
Thomas G. Schulze
Thomas G. Schulze Ludwig-Maximilians-Universität München
Nicholas J. Schork
Nicholas J. Schork Translational Genomics Research Institute
L. Adrienne Cupples
L. Adrienne Cupples Boston University
Francis J. McMahon
Francis J. McMahon National Institutes of Health

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