World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
48368
World Ranking
7725
National Ranking
3333

Aaron R. Quinlan publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Aaron R. Quinlan sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 86 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Aaron R. Quinlan D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Aaron R. Quinlan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Aaron R. Quinlan is affiliated with the University of Utah in the United States, contributing extensively to the field of Biochemistry, Genetics and Molecular Biology. Their research output comprises 166 publications primarily focused on Molecular Biology, Genetics, and subfields including Cancer Research, Plant Science, and Cellular and Molecular Neuroscience.

The scientist's work covers a diverse range of topics, with a notable emphasis on Genomics and Rare Diseases, Genomics and Phylogenetic Studies, Genomic Variations and Chromosomal Abnormalities, as well as RNA and Protein Synthesis Mechanisms. Additional focus areas include Cancer Genomics and Diagnostics, Genetic Neurodegenerative Diseases, and RNA Research and Splicing.

Frequent publication venues highlight active engagement with both preprint and peer-reviewed journals. These include bioRxiv (Cold Spring Harbor Laboratory) where they have 31 publications, Genome Medicine and Genetics in Medicine Open, each with 4 publications, followed by multiple publications in eLife and Bioinformatics.

Aaron R. Quinlan frequently collaborates with several researchers in their field. Notable co-authors are Brent S. Pedersen, Harriet Dashnow, Thomas A. Sasani, Michael J. Cormier, and Thomas J. Nicholas, reflecting sustained partnerships on multiple studies.

Among their recent papers are:

  • Characterization and visualization of tandem repeats at genome scale, 2024, Nature Biotechnology
  • Samplot: a platform for structural variant visual validation and automated filtering, 2021, Genome Biology
  • Effective variant filtering and expected candidate variant yield in studies of rare human disease, 2021, npj Genomic Medicine
  • De novo structural mutation rates and gamete-of-origin biases revealed through genome sequencing of 2,396 families, 2021, The American Journal of Human Genetics
  • Somalier: rapid relatedness estimation for cancer and germline studies using efficient genome sketches, 2020, Genome Medicine

Best Publications

  • BEDTools: a flexible suite of utilities for comparing genomic features

    Aaron R. Quinlan;Ira M. Hall

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

    Arturo López Castel;John D Cleary;Christopher E Pearson

  • BEDTools: The Swiss‐Army Tool for Genome Feature Analysis

    Aaron R. Quinlan

  • Nanopore sequencing and assembly of a human genome with ultra-long reads

    Miten Jain;Sergey Koren;Karen H Miga;Josh Quick

  • LUMPY: a probabilistic framework for structural variant discovery

    Ryan M Layer;Colby Chiang;Aaron R Quinlan;Ira M Hall

  • Mapping copy number variation by population-scale genome sequencing

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

  • Mosdepth: quick coverage calculation for genomes and exomes

    Brent S Pedersen;Aaron R Quinlan

  • BamTools: a C++ API and toolkit for analyzing and managing BAM files.

    Derek W. Barnett;Erik K. Garrison;Aaron R. Quinlan;Michael P. Strömberg

  • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers.

    Suna Onengut-Gumuscu;Wei-Min Chen;Oliver Burren;Nick J Cooper

  • Copy number variation detection and genotyping from exome sequence data

    Niklas Krumm;Peter H. Sudmant;Arthur Ko;Brian J. O'Roak

  • SpeedSeq: ultra-fast personal genome analysis and interpretation

    Colby Chiang;Ryan M Layer;Gregory G Faust;Michael R Lindberg

  • Whole-genome sequencing and variant discovery in C. elegans.

    La Deana W. Hillier;Gabor T. Marth;Aaron R. Quinlan;David Dooling

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

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

  • Pybedtools: a flexible Python library for manipulating genomic datasets and annotations

    Ryan K. Dale;Brent S. Pedersen;Aaron R. Quinlan

  • GEMINI: Integrative Exploration of Genetic Variation and Genome Annotations

    Umadevi Paila;Brad A. Chapman;Rory Kirchner;Aaron R. Quinlan

  • Poretools: a toolkit for analyzing nanopore sequence data

    Nicholas J. Loman;Aaron R. Quinlan

  • Rapid whole-genome mutational profiling using next-generation sequencing technologies

    Douglas R. Smith;Aaron R. Quinlan;Heather E. Peckham;Kathryn Makowsky

  • Genome-wide mapping and assembly of structural variant breakpoints in the mouse genome

    Aaron R. Quinlan;Royden A. Clark;Svetlana Sokolova;Mitchell L. Leibowitz

  • An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder.

    Donna M. Werling;Harrison Brand;Harrison Brand;Joon Yong An;Matthew R. Stone

  • Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder

    Joon Yong An;Kevin Lin;Lingxue Zhu;Donna M. Werling

  • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers

    Suna Onengut-Gumuscu;Wei-Min Chen;Oliver Burren;Emily Farber

  • LUMPY: A probabilistic framework for structural variant discovery

    Ryan M. Layer;Ira M. Hall;Aaron R. Quinlan

Frequent Co-Authors

Gabor T. Marth
Gabor T. Marth University of Utah
Mark J. Daly
Mark J. Daly Massachusetts General Hospital
Michael E. Talkowski
Michael E. Talkowski Harvard University
Harrison Brand
Harrison Brand Harvard University
Lynn B. Jorde
Lynn B. Jorde University of Utah
Patrick Concannon
Patrick Concannon University of Florida
Jill A. Rosenfeld
Jill A. Rosenfeld Baylor College of Medicine
Nicholas J. Loman
Nicholas J. Loman University of Birmingham
Bernie Devlin
Bernie Devlin University of Pittsburgh
Stephen S. Rich
Stephen S. Rich University of Virginia

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