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John A. Stamatoyannopoulos

John A. Stamatoyannopoulos

D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Medicine 105 6631 3513 224 92937
Genetics 105 613 309 222 92671

John A. Stamatoyannopoulos publications per year

The chart shows the history of publications by John A. Stamatoyannopoulos between 1992 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John A. Stamatoyannopoulos published across 30 years, from 1992 to 2021, averaging 29.7 papers a year. Output peaked at 486 publications in 2020. 638 of the 891 publications appeared in the last two years.

No. of publications
100 200 300 400
Bar chart. Horizontal axis: year, 1992 to 2021. Vertical axis: number of publications, 0 to 486. Peak 486 publications in 2020. 1992: 1 publication 1993: 0 publications 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 0 publications 2004: 6 publications 2005: 3 publications 2006: 2 publications 2007: 10 publications 2008: 8 publications 2009: 8 publications 2010: 5 publications 2011: 18 publications 2012: 25 publications 2013: 23 publications 2014: 19 publications 2015: 21 publications 2016: 10 publications 2017: 9 publications 2018: 15 publications 2019: 67 publications 2020: 486 publications 2021: 152 publications
1992 2021

891 publications in total across all disciplines

View publications per year as a table
John A. Stamatoyannopoulos: publications per year, 1992 to 2021
Year Publications
1992 1
1993 0
1994 1
1995 0
1996 0
1997 1
1998 0
1999 0
2000 0
2001 0
2002 1
2003 0
2004 6
2005 3
2006 2
2007 10
2008 8
2009 8
2010 5
2011 18
2012 25
2013 23
2014 19
2015 21
2016 10
2017 9
2018 15
2019 67
2020 486
2021 152
Total 891
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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.

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, 215–224 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: 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.

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
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134 222
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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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.

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, 104–105 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: 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.

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
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 45 105
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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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
  • 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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