World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
76
Citations
79937
World Ranking
1783
National Ranking
815

Daniel H. Haft 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 Daniel H. Haft 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: 112 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Daniel H. Haft 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 Daniel H. Haft 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: 76 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Daniel H. Haft is affiliated with the National Institutes of Health in the United States. Their research primarily focuses on Biochemistry, Genetics and Molecular Biology, with particular expertise in Molecular Biology, Molecular Medicine, and related subfields such as Health, Toxicology and Mutagenesis, Nutrition and Dietetics, and Renewable Energy, Sustainability and the Environment.

The scientist's work covers key topics including Genomics and Phylogenetic Studies, Machine Learning in Bioinformatics, Antibiotic Resistance in Bacteria, RNA and protein synthesis mechanisms, Biochemical and Structural Characterization, Protein Structure and Dynamics, and Enzyme Structure and Function.

Daniel H. Haft has published extensively in several scientific venues. The most frequent publication platforms include:

  • Nucleic Acids Research
  • Antimicrobial Agents and Chemotherapy
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Bacteriology
  • Scientific Reports

Selected recent papers include:

  • "InterPro in 2022," published in 2022 in Nucleic Acids Research
  • "The InterPro protein families and domains database: 20 years on," published in 2020 in Nucleic Acids Research
  • "AMRFinderPlus and the Reference Gene Catalog facilitate examination of the genomic links among antimicrobial resistance, stress response, and virulence," published in 2021 in Scientific Reports
  • "RefSeq: expanding the Prokaryotic Genome Annotation Pipeline reach with protein family model curation," published in 2020 in Nucleic Acids Research
  • "InterPro: the protein sequence classification resource in 2025," published in 2024 in Nucleic Acids Research

Collaboration is a significant aspect of their work, with frequent co-authors including Michael Feldgarden, William Klimke, Arjun Prasad, Aron Marchler-Bauer, and Narmada Thanki, each contributing to multiple publications alongside Daniel H. Haft.

Best Publications

  • Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation

    Nuala A. O'Leary;Mathew W. Wright;J. Rodney Brister;Stacy Ciufo

  • Genome sequence of the human malaria parasite Plasmodium falciparum

    Malcolm J. Gardner;Neil Hall;Eula Fung;Owen White

  • Evolution and classification of the CRISPR-Cas systems

    Kira S. Makarova;Daniel H. Haft;Rodolphe Barrangou;Stan J. J. Brouns

  • Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: Implications for the microbial “pan-genome”

    Hervé Tettelin;Vega Masignani;Michael J. Cieslewicz;Claudio Donati

  • An updated evolutionary classification of CRISPR–Cas systems

    Kira S. Makarova;Yuri I. Wolf;Omer S. Alkhnbashi;Fabrizio Costa

  • InterPro: the integrative protein signature database

    Sarah Hunter;Rolf Apweiler;Teresa K. Attwood;Amos Bairoch

  • Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants.

    Kira S. Makarova;Yuri I. Wolf;Jaime Iranzo;Sergey A. Shmakov

  • The InterPro protein families and domains database: 20 years on.

    Matthias Blum;Hsin Yu Chang;Sara Chuguransky;Tiago Grego

  • DNA sequence of both chromosomes of the cholera pathogen Vibrio cholerae

    John F. Heidelberg;Jonathan A. Eisen;William C. Nelson;Rebecca A. Clayton

  • Ribosomally synthesized and post-translationally modified peptide natural products: Overview and recommendations for a universal nomenclature

    Paul G. Arnison;Mervyn J. Bibb;Gabriele Bierbaum;Albert Alexander Bowers

  • Evidence for lateral gene transfer between Archaea and Bacteria from genome sequence of Thermotoga maritima

    Karen E. Nelson;Rebecca A. Clayton;Steven R. Gill;Michelle L. Gwinn

  • The InterPro Database, 2003 brings increased coverage and new features

    Nicola J Mulder;Rolf Apweiler;Teresa K Attwood;Amos Marc Bairoch

  • Complete Genome Sequence of a Virulent Isolate of Streptococcus pneumoniae

    H. Tettelin;K. E. Nelson;I. T. Paulsen;Jonathan A Eisen

  • The InterPro protein families database: the classification resource after 15 years

    Alex L. Mitchell;Hsin-Yu Chang;Louise C. Daugherty;Matthew Fraser

  • Complete Genome Sequence of Neisseria meningitidis Serogroup B Strain MC58

    Hervé Tettelin;Nigel J. Saunders;John Heidelberg;Alex C. Jeffries

  • The minimum information about a genome sequence (MIGS) specification.

    Dawn Field;George Garrity;Tanya Gray;Norman Morrison

  • A Guild of 45 CRISPR-Associated (Cas) Protein Families and Multiple CRISPR/Cas Subtypes Exist in Prokaryotic Genomes

    Daniel Henry Haft;Jeremy Selengut;Emmanuel F. Mongodin;Karen E. Nelson

  • InterPro in 2011: new developments in the family and domain prediction database

    Sarah Hunter;Philip Jones;Alex Mitchell;Rolf Apweiler

  • Genome sequence of the radioresistant bacterium Deinococcus radiodurans R1.

    O. White;J. A. Eisen;J. F. Heidelberg;E. K. Hickey

  • The TIGRFAMs database of protein families

    Daniel H. Haft;Jeremy D. Selengut;Owen White

Frequent Co-Authors

Robert J. Dodson
Robert J. Dodson Northwestern University
Claire M. Fraser
Claire M. Fraser University of Maryland, Baltimore
William C. Nelson
William C. Nelson Pacific Northwest National Laboratory
Jonathan A. Eisen
Jonathan A. Eisen University of California, Davis
Ian T. Paulsen
Ian T. Paulsen Macquarie University
Robert T. DeBoy
Robert T. DeBoy J. Craig Venter Institute
Hoda Khouri
Hoda Khouri J. Craig Venter Institute
Sean C. Daugherty
Sean C. Daugherty University of Maryland, Baltimore
Karen E. Nelson
Karen E. Nelson J. Craig Venter Institute
John F. Heidelberg
John F. Heidelberg University of Southern California

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