World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
126
Citations
113095
World Ranking
297
National Ranking
156

Jun S. 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 Jun S. 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: 1,075 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Jun S. 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 Jun S. 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: 126 D-Index — 93rd percentile

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

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

Research.com Recognitions

  • 2005 - Fellow of the American Statistical Association (ASA)

Overview

Jun S. Liu is affiliated with Harvard University in the United States. Their research spans multiple areas in biochemistry, genetics, and molecular biology, with a strong focus on statistical methods and inference applied to biological data.

The main fields of study for Jun S. Liu include:

  • Biochemistry, Genetics and Molecular Biology

Their subfields of study highlight a multidisciplinary approach combining statistical and molecular perspectives:

  • Statistics and Probability
  • Molecular Biology
  • Artificial Intelligence
  • Genetics
  • Materials Chemistry

Jun S. Liu's work covers key topics such as:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Gaussian Processes and Bayesian Inference
  • Markov Chains and Monte Carlo Methods
  • Genomics and Phylogenetic Studies
  • Advanced Statistical Methods and Models

Their research has been published in various scientific journals. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • Scientific Reports
  • Statistica Sinica
  • bioRxiv (Cold Spring Harbor Laboratory)

Some of Jun S. Liu's recent papers include:

  • "PLncDB V2.0: a comprehensive encyclopedia of plant long noncoding RNAs" (2020, Nucleic Acids Research)
  • "Probiotic and Oxytocin Combination Therapy in Patients with Autism Spectrum Disorder: A Randomized, Double-Blinded, Placebo-Controlled Pilot Trial" (2021, Nutrients)
  • "Periodization and Block Periodization in Sports: Emphasis on Strength-Power Training-A Provocative and Challenging Narrative" (2021, The Journal of Strength and Conditioning Research)
  • "Determinants of transcription factor regulatory range" (2020, Nature Communications)
  • "A RIPK1-regulated inflammatory microglial state in amyotrophic lateral sclerosis" (2021, Proceedings of the National Academy of Sciences)

Frequent collaborators in Jun S. Liu's research include:

  • Chenguang Dai
  • Zhirui Hu
  • Xin Xing
  • Xuezhen Gao
  • Ke Deng

Jun S. Liu was recognized in 2005 as a Fellow of the American Statistical Association (ASA).

Best Publications

  • The Genotype-Tissue Expression (GTEx) project

    John Lonsdale;Jeffrey Thomas;Mike Salvatore;Rebecca Phillips

  • Topological domains in mammalian genomes identified by analysis of chromatin interactions

    Jesse R Dixon;Siddarth Selvaraj;Siddarth Selvaraj;Feng Yue;Audrey Kim

  • The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

    Kristin G. Ardlie;David S. Deluca;Ayellet V. Segrè

  • Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response

    Peng Jiang;Shengqing Gu;Deng Pan;Jingxin Fu

  • Calcineurin is a common target of cyclophilin-cyclosporin A and FKBP-FK506 complexes

    Jun Liu;Jesse D. Farmer;Willam S. Lane;Jeff Friedman

  • TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells

    Taiwen Li;Taiwen Li;Jingyu Fan;Binbin Wang;Nicole Traugh

  • Correction: Corrigendum: The Serum Profile of Hypercytokinemia Factors Identified in H7N9-Infected Patients can Predict Fatal Outcomes

    Jing Guo;Fengming Huang;Jun Liu;Yu Chen

  • ALKBH5 Is a Mammalian RNA Demethylase that Impacts RNA Metabolism and Mouse Fertility

    Guanqun Zheng;John Arne Dahl;Yamei Niu;Peter Fedorcsak

  • Sequential Monte Carlo methods for dynamic systems

    Jun S. Liu;Rong Chen

  • Genetics of rheumatoid arthritis contributes to biology and drug discovery

    Yukinori Okada;Yukinori Okada;Di Wu;Di Wu;Di Wu;Gosia Trynka;Gosia Trynka;Towfique Raj;Towfique Raj

  • Detecting Subtle Sequence Signals: A Gibbs Sampling Strategy for Multiple Alignment

    Charles E. Lawrence;Stephen F. Altschul;Mark S. Boguski;Jun S. Liu

  • MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens.

    Wei Li;Han Xu;Tengfei Xiao;Le Cong;Le Cong

  • Comprehensive analyses of tumor immunity: implications for cancer immunotherapy

    Bo Li;Eric Severson;Eric Severson;Jean Christophe Pignon;Haoquan Zhao

  • Sequential Imputations and Bayesian Missing Data Problems

    Augustine Kong;Jun S. Liu;Wing Hung Wong

  • BioProspector: discovering conserved DNA motifs in upstream regulatory regions of co-expressed genes.

    X. Liu;Douglas L. Brutlag;Jun S. Liu

  • Methylation of histone H3 Lys 4 in coding regions of active genes.

    Bradley E. Bernstein;Emily L. Humphrey;Rachel L. Erlich;Robert Schneider

  • Guillain-Barré syndrome associated with SARS-CoV-2 infection: causality or coincidence?

    Hua Zhao;Dingding Shen;Haiyan Zhou;Jun Liu

  • An algorithm for finding protein-DNA binding sites with applications to chromatin-immunoprecipitation microarray experiments.

    X. Shirley Liu;Douglas L. Brutlag;Jun S. Liu

  • The major facilitator superfamily.

    Saier Mh;Beatty Jt;Goffeau A;Harley Kt

  • The Genotype-Tissue Expression (GTEx) project

    John Lonsdale;Jeffrey Thomas;Mike Salvatore;Rebecca Phillips

Frequent Co-Authors

X. Shirley Liu
X. Shirley Liu Harvard University
Charles E. Lawrence
Charles E. Lawrence Brown University
Wing Hung Wong
Wing Hung Wong Stanford University
Zhaohui S. Qin
Zhaohui S. Qin Emory University
Myles Brown
Myles Brown Harvard University
Weida Tong
Weida Tong National Center for Toxicological Research
Xiang Qin
Xiang Qin Baylor College of Medicine
Jonathan K. Pritchard
Jonathan K. Pritchard Stanford University
Emmanouil T. Dermitzakis
Emmanouil T. Dermitzakis University of Geneva

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