World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
63
Citations
23282
World Ranking
2842
National Ranking
97

David Sankoff 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 David Sankoff 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: 282 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

David Sankoff 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 David Sankoff 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: 63 D-Index — 35th percentile

35% 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

  • 2009 - Fellow of the International Society for Computational Biology
  • 1995 - Fellow of the Royal Society of Canada Academy of Science

Overview

David Sankoff is affiliated with the University of Ottawa in Canada. Their research spans multiple interconnected fields, including biochemistry, genetics, molecular biology, and agricultural and biological sciences. Their work primarily focuses on genomics and phylogenetic studies, chromosomal and genetic variations, and genome rearrangement algorithms.

Sankoff has contributed substantially to molecular biology and plant science research. Their subfields of study also include genetics, ecology, evolution, behavior and systematics, as well as modeling and simulation. This diversity reflects a comprehensive approach to biological inquiry and computational methods in genetics.

The scientist's publication record includes papers in prominent journals, with notable entries such as:

  • "Two divergent haplotypes from a highly heterozygous lychee genome suggest independent domestication events for early and late-maturing cultivars" (2022, Nature Genetics)
  • "A high-contiguity Brassica nigra genome localizes active centromeres and defines the ancestral Brassica genome" (2020, Nature Plants)
  • "Genome sequence and evolution of Betula platyphylla" (2021, Horticulture Research)
  • "The genome and population genomics of allopolyploid Coffea arabica reveal the diversification history of modern coffee cultivars" (2024, Nature Genetics)
  • "Buxus and Tetracentron genomes help resolve eudicot genome history" (2022, Nature Communications)

Frequent co-authors in Sankoff's research include Lingling Jin, Chunfang Zheng, Qiaoji Xu, and Jim Leebens-Mack.

  • Lingling Jin
  • Chunfang Zheng
  • Qiaoji Xu
  • Jim Leebens-Mack

The scientist has published multiple articles in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Nature Genetics, Journal of Computational Biology, and Nature Plants.

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Nature Genetics
  • Journal of Computational Biology
  • Nature Plants

David Sankoff has also contributed to academic literature through book publications, including a work released by Springer Science+Business Media titled Computational Advances in Bio and Medical Sciences (2021).

Their research topics cover various dimensions within genomic studies and related fields, such as:

  • Genomics and Phylogenetic Studies
  • Chromosomal and Genetic Variations
  • Genome Rearrangement Algorithms
  • COVID-19 epidemiological studies
  • Coffee research and impacts
  • Plant Virus Research Studies
  • Plant Disease Resistance and Genetics

David Sankoff has been recognized by their peers with honors including the Fellow of the International Society for Computational Biology (2009) and the Fellow of the Royal Society of Canada under the Academy of Science (1995).

Best Publications

  • Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison

    David Sankoff;Joseph B. Kruskal

  • Polyploidy and angiosperm diversification

    Douglas E. Soltis;Victor A. Albert;Jim Leebens-Mack;Charles D. Bell

  • An ancestral mitochondrial DNA resembling a eubacterial genome in miniature

    Lang Bf;Burger G;O'Kelly Cj;Cedergren R

  • Minimal Mutation Trees of Sequences

    David Sankoff

  • Simultaneous Solution of the RNA Folding, Alignment and Protosequence Problems

    David Sankoff

  • RNA secondary structures and their prediction

    Michael Zuker;David Sankoff

  • Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L.

    Jisen Zhang;Xingtan Zhang;Haibao Tang;Qing Zhang

  • The coffee genome provides insight into the convergent evolution of caffeine biosynthesis

    Lorenzo Carretero-Paulet;Alexis Dereeper;Gaëtan Droc

  • The pineapple genome and the evolution of CAM photosynthesis

    Ray Ming;Ray Ming;Robert VanBuren;Robert VanBuren;Robert VanBuren;Ching Man Wai;Ching Man Wai;Haibao Tang;Haibao Tang

  • Locating rearrangement events in a phylogeny based on highly fragmented assemblies

    Chunfang Zheng;David Sankoff

  • Gene order comparisons for phylogenetic inference: evolution of the mitochondrial genome.

    D Sankoff;G Leduc;N Antoine;B Paquin

  • Structural Dynamics of Eukaryotic Chromosome Evolution

    Evan E. Eichler;David Sankoff

  • On the evolutionary descent of organisms and organelles: a global phylogeny based on a highly conserved structural core in small subunit ribosomal RNA

    Michael W. Gray;David Sankoff;Robert J. Cedergren

  • GENOME STRUCTURE AND GENE CONTENT IN PROTIST MITOCHONDRIAL DNAS

    Michael W. Gray;B. Franz Lang;Robert Cedergren;G. Brian Golding

  • Matching Sequences under Deletion/Insertion Constraints

    David Sankoff

  • Comparison of musical sequences

    Marcel Mongeau;David Sankoff

  • Longest common subsequences of two random sequences.

    Vaclav Chvatal;David Sankoff

  • Multiple Genome Rearrangement and Breakpoint Phylogeny

    David Sankoff;Mathieu Blanchette

  • COMPARABLE RATES OF GENE LOSS AND FUNCTIONAL DIVERGENCE AFTER GENOME DUPLICATIONS EARLY IN VERTEBRATE EVOLUTION

    Joseph H. Nadeau;David Sankoff

  • Genome rearrangement with gene families

    David Sankoff

Frequent Co-Authors

Robert Cedergren
Robert Cedergren University of Montreal
Victor A. Albert
Victor A. Albert University at Buffalo, State University of New York
Ray Ming
Ray Ming University of Illinois at Urbana-Champaign
Eric Lyons
Eric Lyons University of Arizona
Joseph H. Nadeau
Joseph H. Nadeau Pacific Northwest Diabetes Research Institute
Haibao Tang
Haibao Tang Fujian Agriculture and Forestry University
Shana Poplack
Shana Poplack University of Ottawa
Mathieu Blanchette
Mathieu Blanchette McGill University
Giovanni Giuliano
Giovanni Giuliano National Agency For New Technologies, Energy and Sustainable Economic Development
Michael W. Gray
Michael W. Gray Dalhousie University

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