World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
58
Citations
25544
World Ranking
3288
National Ranking
1432

Joshua D. Smith 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 Joshua D. Smith 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: 114 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Joshua D. Smith 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 Joshua D. Smith 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: 58 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Overview

Joshua D. Smith is affiliated with the University of Washington in the United States. Their research spans several fields within biochemistry, genetics, molecular biology, and medicine, with a focus on pharmacology, plant science, molecular biology, statistics and probability, and oncology.

Their work is primarily concentrated on topics such as pharmacogenetics and drug metabolism, plant-microbe interactions and immunity, CRISPR and genetic engineering, statistical methods in clinical trials, drug transport and resistance mechanisms, microbial natural products and biosynthesis, and fungal biology and applications.

Joshua D. Smith has published research in multiple venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Molecular Diagnostics
  • Communications Biology

Their recent papers cover various aspects of genetics, pharmacogenomics, and fungal biology. Notable publications include:

  • "CYP2C8, CYP2C9, and CYP2C19 Characterization Using Next-Generation Sequencing and Haplotype Analysis" (2022, Journal of Molecular Diagnostics)
  • "Adaptive laboratory evolution in S. cerevisiae highlights role of transcription factors in fungal xenobiotic resistance" (2022, Communications Biology)
  • "Frequency of pharmacogenomic variation and medication exposures among All of Us Participants" (2024, bioRxiv (Cold Spring Harbor Laboratory))
  • "The Platinum Pedigree: A long-read benchmark for genetic variants" (2024, bioRxiv (Cold Spring Harbor Laboratory))
  • "Defining the Yeast Resistome through in vitro Evolution and Whole Genome Sequencing" (2021, bioRxiv (Cold Spring Harbor Laboratory))

Frequent co-authors collaborating with Joshua D. Smith include:

  • Sean McGee
  • Aparna Radhakrishnan
  • Sabine Ottilie
  • Madeline R. Luth
  • Erich Hellemann

The scientist's research encompasses advanced techniques in next-generation sequencing, long-read genetic variant benchmarking, and experimental evolution focused on fungal resistance. Their studies integrate molecular diagnostics with pharmacogenomic data to understand variation across populations and mechanisms of drug metabolism.

Joshua D. Smith's work contributes to the integration of molecular biology with clinical and pharmacological applications, highlighting genetic factors that affect drug response and resistance. The combination of research topics and diverse publication outlets reflects a multidisciplinary approach to understanding complex biological interactions at molecular and cellular levels.

Best Publications

  • Biological, clinical and population relevance of 95 loci for blood lipids

    Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson

  • The contribution of de novo coding mutations to autism spectrum disorder

    Ivan Iossifov;Brian J. O'Roak;Stephan J. Sanders;Stephan J. Sanders;Michael Ronemus

  • Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations

    Brian J. O’Roak;Laura Vives;Santhosh Girirajan;Emre Karakoc

  • Exome sequencing identifies MLL2 mutations as a cause of Kabuki syndrome

    Sarah B. Ng;Abigail W. Bigham;Kati J. Buckingham;Mark C. Hannibal;Mark C. Hannibal

  • Mapping and sequencing of structural variation from eight human genomes

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

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan

  • The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities

    Jessica X. Chong;Kati J. Buckingham;Shalini N. Jhangiani;Corinne Boehm

  • Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

    Z Dastani;Hivert M-F.;Hivert M-F.;N Timpson;Perry Jrb.;Perry Jrb.

  • A genome-wide scan for common genetic variants with a large influence on warfarin maintenance dose

    Gregory M. Cooper;Julie A. Johnson;Taimour Y. Langaee;Hua Feng

  • Discovery of common and rare genetic risk variants for colorectal cancer

    Jeroen R. Huyghe;Stephanie A. Bien;Tabitha A. Harrison;Hyun Min Kang

  • A Multivariate Genome-Wide Association Analysis of 10 LDL Subfractions, and Their Response to Statin Treatment, in 1868 Caucasians

    Heejung Shim;Daniel I. Chasman;Joshua D. Smith;Samia Mora

  • Additional SNPs and linkage-disequilibrium analyses are necessary for whole-genome association studies in humans

    Christopher S. Carlson;Michael A. Eberle;Mark J. Rieder;Joshua D. Smith

  • De novo rates and selection of large copy number variation

    Andy Itsara;Hao Wu;Joshua D. Smith;Deborah A. Nickerson

  • Genome Sequencing of Autism-Affected Families Reveals Disruption of Putative Noncoding Regulatory DNA

    Tychele N. Turner;Fereydoun Hormozdiari;Michael H. Duyzend;Sarah A. McClymont

  • Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins

    Iris Postmus;Stella Trompet;Harshal A. Deshmukh;Michael R. Barnes

  • Mutations in TJP2 cause progressive cholestatic liver disease

    Melissa Sambrotta;Sandra Strautnieks;Efterpi Papouli;Peter Rushton

  • Genome-Wide Association of Lipid-Lowering Response to Statins in Combined Study Populations

    Mathew J. Barber;Lara M. Mangravite;Craig L. Hyde;Daniel I. Chasman

  • Identification, Replication, and Functional Fine-Mapping of Expression Quantitative Trait Loci in Primary Human Liver Tissue

    Federico Innocenti;Gregory M. Cooper;Ian B. Stanaway;Eric R. Gamazon

  • A statin-dependent QTL for GATM expression is associated with statin-induced myopathy

    Lara M. Mangravite;Barbara E. Engelhardt;Barbara E. Engelhardt;Marisa W. Medina;Joshua D. Smith

  • Whole-Exome Sequencing Identifies Rare and Low-Frequency Coding Variants Associated with LDL Cholesterol

    Leslie A Lange;Youna Hu;He Zhang;Chenyi Xue

Frequent Co-Authors

Deborah A. Nickerson
Deborah A. Nickerson University of Washington
Michael J. Bamshad
Michael J. Bamshad University of Washington
Jay Shendure
Jay Shendure University of Washington
Mark J. Rieder
Mark J. Rieder University of Washington
David Altshuler
David Altshuler Harvard University
Suzanne M. Leal
Suzanne M. Leal Columbia University Medical Center
Gonçalo R. Abecasis
Gonçalo R. Abecasis University of Michigan–Ann Arbor
Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center
Shaun Purcell
Shaun Purcell Harvard Medical School
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston

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