World's Best Scientists 2026 revealed!
John A. Stamatoyannopoulos

John A. Stamatoyannopoulos

D-Index & Metrics

Genetics

D-Index
105
Citations
92671
World Ranking
613
National Ranking
309

Medicine

D-Index
105
Citations
92937
World Ranking
6632
National Ranking
3514

John A. Stamatoyannopoulos 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 John A. Stamatoyannopoulos 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: 222 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

John A. Stamatoyannopoulos 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 John A. Stamatoyannopoulos 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: 105 D-Index — 86th percentile

86% 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

  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • Member of the Association of American Physicians
  • Member of the Association of American Physicians
  • Member of the Association of American Physicians
  • Member of the Association of American Physicians

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

His main research concerns Genetics, Computational biology, Human genome, Chromatin and Genome. His work on Genetics deals in particular with DNase-Seq, DNA methylation, Genomics, ENCODE and Epigenomics. As part of his studies on Computational biology, he often connects relevant areas like Pre-replication complex.

His Human genome research incorporates themes from Human mitochondrial genetics, Human disease, ATAC-seq and Mitochondrion. His research in Chromatin intersects with topics in Enhancer, Transcription factor, Chromatin immunoprecipitation and DNase I hypersensitive site. His Genome research focuses on subjects like Locus, which are linked to Chromatin Loop, Chromatin Fiber, Genomic organization, Chromosome Territory and Chromosome conformation capture.

His most cited work include:

  • Comprehensive mapping of long-range interactions reveals folding principles of the human genome. (4920 citations)
  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
  • Integrative analysis of 111 reference human epigenomes (3776 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Genetics, Computational biology, Chromatin, Genome and Human genome. His research in Transcription factor, Gene, Enhancer, Regulatory sequence and Genomics are components of Genetics. The various areas that John A. Stamatoyannopoulos examines in his Computational biology study include Phenotype, ENCODE, DNA, Promoter and Regulation of gene expression.

His work deals with themes such as Epigenomics, DNA methylation and Cell biology, which intersect with Chromatin. As a part of the same scientific family, he mostly works in the field of Genome, focusing on Chromosome conformation capture and, on occasion, DNA Replication Timing. His study looks at the relationship between Human genome and topics such as DNase-Seq, which overlap with DNase I hypersensitive site.

He most often published in these fields:

  • Genetics (57.47%)
  • Computational biology (40.27%)
  • Chromatin (40.27%)

What were the highlights of his more recent work (between 2017-2021)?

  • Computational biology (40.27%)
  • Chromatin (40.27%)
  • Gene (23.98%)

In recent papers he was focusing on the following fields of study:

John A. Stamatoyannopoulos mostly deals with Computational biology, Chromatin, Gene, Genome and Transcription factor. His biological study spans a wide range of topics, including Human genome, Epigenomics, Allele, Genome editing and Regulation of gene expression. John A. Stamatoyannopoulos works mostly in the field of Human genome, limiting it down to topics relating to Regulatory sequence and, in certain cases, Human genetic variation.

The concepts of his Chromatin study are interwoven with issues in Proteome, Haematopoiesis, Promoter, Nuclear protein and Bromodomain. His Genome research incorporates elements of DNA, Effector, Cell biology, Chromosome conformation capture and Transcription. Tissue-Specific Gene Expression is a subfield of Genetics that John A. Stamatoyannopoulos tackles.

Between 2017 and 2021, his most popular works were:

  • Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics. (320 citations)
  • The GTEx Consortium atlas of genetic regulatory effects across human tissues (238 citations)
  • Expanded encyclopaedias of DNA elements in the human and mouse genomes (141 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • DNA
  • Genome

John A. Stamatoyannopoulos focuses on Computational biology, Gene, Genome, Chromatin and Regulation of gene expression. His Computational biology study integrates concerns from other disciplines, such as Disjunctive normal form, Human genetics and Functional genomics, Genomics. His research in Genome is mostly focused on Human genome.

John A. Stamatoyannopoulos usually deals with Human genome and limits it to topics linked to Regulatory sequence and Human genetic variation and Promoter. His work focuses on many connections between Chromatin and other disciplines, such as Epigenomics, that overlap with his field of interest in ENCODE. His Genetic variation study results in a more complete grasp of Genetics.

Best Publications

  • Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

    Erez Lieberman-Aiden;Nynke L. van Berkum;Louise Williams;Maxim Imakaev

  • Integrative analysis of 111 reference human epigenomes

    Anshul Kundaje;Wouter Meuleman;Wouter Meuleman;Jason Ernst

  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

    Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó

  • The GTEx Consortium atlas of genetic regulatory effects across human tissues

    F Aguet;AN Barbeira;R Bonazzola;A Brown

  • Systematic localization of common disease-associated variation in regulatory DNA.

    Matthew T. Maurano;Richard Humbert;Eric Rynes;Robert E. Thurman

  • The ENCODE (ENCyclopedia of DNA elements) Project

    E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz

  • 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

  • Expanded encyclopaedias of DNA elements in the human and mouse genomes

    Jill E. Moore;Michael J. Purcaro;Henry E. Pratt;Charles B. Epstein

  • ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia

    Stephen G. Landt;Georgi K. Marinov;Anshul Kundaje;Pouya Kheradpour

  • Quantifying similarity between motifs

    Shobhit Gupta;John A Stamatoyannopoulos;Timothy L Bailey;William Stafford Noble

  • A comparative encyclopedia of DNA elements in the mouse genome

    Feng Yue;Feng Yue;Yong Cheng;Alessandra Breschi;Jeff Vierstra

  • The NIH Roadmap Epigenomics Mapping Consortium

    Bradley E Bernstein;John A Stamatoyannopoulos;Joseph F Costello;Bing Ren

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

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

  • Guidelines for investigating causality of sequence variants in human disease

    D G MacArthur;T A Manolio;D P Dimmock;H L Rehm

  • Mapping and sequencing of structural variation from eight human genomes

    Jeffrey M. Kidd;Gregory M. Cooper;William F. Donahue;Hillary S. Hayden

  • Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.

    Alvaro N. Barbeira;Scott P. Dickinson;Rodrigo Bonazzola;Jiamao Zheng

  • Chromatin accessibility pre-determines glucocorticoid receptor binding patterns

    Sam John;Peter J. Sabo;Robert E. Thurman;Myong Hee Sung

  • Comprehensive analysis of the chromatin landscape in Drosophila melanogaster

    Peter V. Kharchenko;Artyom A. Alekseyenko;Artyom A. Alekseyenko;Yuri B. Schwartz;Aki Minoda

  • BEDOPS: high-performance genomic feature operations.

    Shane J. Neph;Scott Kuehn;Alex P. Reynolds;Eric Haugen

Frequent Co-Authors

Richard Sandstrom
Richard Sandstrom University of Washington
Michael Snyder
Michael Snyder Stanford University
William Stafford Noble
William Stafford Noble University of Washington
Shamil R. Sunyaev
Shamil R. Sunyaev Harvard University
Roderic Guigó
Roderic Guigó Pompeu Fabra University
Job Dekker
Job Dekker University of Massachusetts Chan Medical School
Mark Groudine
Mark Groudine Fred Hutchinson Cancer Research Center
Rajinder Kaul
Rajinder Kaul University of Washington
Michael O. Dorschner
Michael O. Dorschner University of Washington

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