World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
56
Citations
39693
World Ranking
3445
National Ranking
1491

Eric A. Stone 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 Eric A. Stone 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: 95 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Eric A. Stone 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 Eric A. Stone 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: 56 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • DNA

Eric A. Stone spends much of his time researching Genetics, Genome, Genomics, Computational biology and Human genome. His study in Evolutionary biology extends to Genetics with its themes. His Genome research focuses on subjects like Sequence analysis, which are linked to Protein structure, Disease, Mutation, Polymorphism and Missense mutation.

His research investigates the connection with Genomics and areas like Whole genome sequencing which intersect with concerns in Genome project, Shotgun sequencing, Contig and Reference genome. His biological study spans a wide range of topics, including Negative selection, GENCODE, ENCODE and Conserved sequence. His Human genome study integrates concerns from other disciplines, such as Sequence alignment, Locus and 1000 Genomes Project.

His most cited work include:

  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
  • Genome sequence of the Brown Norway rat yields insights into mammalian evolution (1795 citations)
  • The ENCODE (ENCyclopedia of DNA elements) Project (1725 citations)

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

His scientific interests lie mostly in Genetics, Genetic variation, Gene, Drosophila melanogaster and Genome. His study brings together the fields of Computational biology and Genetics. His research on Genetic variation also deals with topics like

  • Candidate gene that intertwine with fields like Single-nucleotide polymorphism,
  • Gene regulatory network together with Gene expression profiling.

In the subject of general Gene, his work in Genetic architecture, Mutation and Missense mutation is often linked to Schizophrenia, thereby combining diverse domains of study. In his research, Phylogenetics is intimately related to Sequence analysis, which falls under the overarching field of Genome. His work in Human genome addresses issues such as ENCODE, which are connected to fields such as GENCODE.

He most often published in these fields:

  • Genetics (67.39%)
  • Genetic variation (25.00%)
  • Gene (20.65%)

What were the highlights of his more recent work (between 2014-2019)?

  • Genetics (67.39%)
  • T-cell receptor (9.78%)
  • Genetic variation (25.00%)

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

Eric A. Stone mainly focuses on Genetics, T-cell receptor, Genetic variation, Antigen-presenting cell and ZAP70. His Genetics study focuses mostly on Linkage disequilibrium, Allele, Genetic association, Minor allele frequency and Somatic cell. The T-cell receptor study combines topics in areas such as Enhancer, Molecular biology and Gene activity.

His studies deal with areas such as Genetic variability, Genome-wide association study, Strain and Copy-number variation as well as Genetic variation. He studied Genome-wide association study and Genetic diversity that intersect with Expression quantitative trait loci and Gene. Eric A. Stone works mostly in the field of Antigen-presenting cell, limiting it down to topics relating to CD8 and, in certain cases, T cell and Cell biology.

Between 2014 and 2019, his most popular works were:

  • The 100-genomes strains, an S. cerevisiae resource that illuminates its natural phenotypic and genotypic variation and emergence as an opportunistic pathogen (255 citations)
  • ICOS Coreceptor Signaling Inactivates the Transcription Factor FOXO1 to Promote Tfh Cell Differentiation (136 citations)
  • Age Correlates with Response to Anti-PD1, Reflecting Age-Related Differences in Intratumoral Effector and Regulatory T-Cell Populations (104 citations)

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

  • Gene
  • Genetics
  • DNA

His primary scientific interests are in Genetics, Genetic variation, Signal transduction, Cancer research and BCL6. Genetics is closely attributed to Genetic strain in his work. His Genetic variation research is multidisciplinary, incorporating perspectives in Genetic variability and Strain, Genome, Copy-number variation.

His Signal transduction study incorporates themes from ICOS LIGAND, Transcription factor, Cellular differentiation and Cell growth.

Best Publications

  • Table S2: Trans-factors and trinucleotide repeat instability Trans-factor

    Arturo López Castel;John D Cleary;Christopher E Pearson

  • 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 ENCODE (ENCyclopedia of DNA elements) Project

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

  • Genome sequence of the Brown Norway rat yields insights into mammalian evolution

    Richard A. Gibbs;George M. Weinstock;Michael L. Metzker;Donna M. Muzny

  • The Drosophila melanogaster Genetic Reference Panel

    Trudy F. C. Mackay;Stephen J. Richards;Eric A. Stone;Antonio Barbadilla

  • Distribution and intensity of constraint in mammalian genomic sequence

    Gregory M. Cooper;Eric A. Stone;George Asimenos;Eric D. Green

  • The genetics of quantitative traits: challenges and prospects.

    Trudy F. C. Mackay;Eric A. Stone;Julien F. Ayroles

  • Mapping copy number variation by population-scale genome sequencing

    Ryan E. Mills;Klaudia Walter;Chip Stewart;Robert E. Handsaker

  • Variation in genome-wide mutation rates within and between human families

    Donald F. Conrad;Donald F. Conrad;Jonathan E.M. Keebler;Jonathan E.M. Keebler;Mark A. Depristo;Sarah J. Lindsay

  • Natural variation in genome architecture among 205 Drosophila melanogaster Genetic Reference Panel lines

    Wen Huang;Andreas Massouras;Andreas Massouras;Yutaka Inoue;Jason Peiffer

  • Systems genetics of complex traits in Drosophila melanogaster.

    Julien F Ayroles;Mary Anna Carbone;Eric A Stone;Katherine W Jordan

  • A map of human genome variation from population-scale sequencing

    Richard M. Durbin;David L. Altshuler;Gonçalo R. Abecasis;David R. Bentley

  • Foxo Transcription Factors Control Regulatory T Cell Development and Function

    Yann M. Kerdiles;Erica L. Stone;Daniel L. Beisner;Maureen A. McGargill

  • De novo mutations in the gene encoding the synaptic scaffolding protein SHANK3 in patients ascertained for schizophrenia

    Julie Gauthier;Nathalie Champagne;Ronald G. Lafrenière;Lan Xiong

  • Physicochemical constraint violation by missense substitutions mediates impairment of protein function and disease severity.

    Eric A. Stone;Arend Sidow

  • Epistasis dominates the genetic architecture of Drosophila quantitative traits.

    Wen Huang;Stephen Richards;Mary Anna Carbone;Dianhui Zhu

  • FOXO transcription factors throughout T cell biology

    Stephen M. Hedrick;Rodrigo Hess Michelini;Andrew L. Doedens;Ananda W. Goldrath

  • The 100-genomes strains, an S. cerevisiae resource that illuminates its natural phenotypic and genotypic variation and emergence as an opportunistic pathogen

    Pooja K. Strope;Daniel A. Skelly;Stanislav G. Kozmin;Gayathri Mahadevan

  • Age Correlates with Response to Anti-PD1, Reflecting Age-Related Differences in Intratumoral Effector and Regulatory T-Cell Populations

    Curtis H. Kugel;Stephen M. Douglass;Marie R. Webster;Amanpreet Kaur;Amanpreet Kaur

  • Direct Measure of the De Novo Mutation Rate in Autism and Schizophrenia Cohorts

    Philip Awadalla;Julie Gauthier;Rachel A. Myers;Rachel A. Myers;Ferran Casals

Frequent Co-Authors

Trudy F. C. Mackay
Trudy F. C. Mackay Clemson University
Arend Sidow
Arend Sidow Stanford University
Robert R. H. Anholt
Robert R. H. Anholt Clemson University
Richard A. Gibbs
Richard A. Gibbs Baylor College of Medicine
Gregory M. Cooper
Gregory M. Cooper HudsonAlpha Institute for Biotechnology
Stephen M. Hedrick
Stephen M. Hedrick University of California, San Diego
Donna M. Muzny
Donna M. Muzny Baylor College of Medicine
Serafim Batzoglou
Serafim Batzoglou Stanford University
David Haussler
David Haussler University of California, Santa Cruz
Eric S. Lander
Eric S. Lander Broad Institute

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