World's Best Scientists 2026 revealed!
Award Badge
Genetics
USA
2026
Award Badge
Genetics and Molecular Biology
USA
2024

D-Index & Metrics

Best Scientists

D-Index
164
Citations
350279
World Ranking
1055
National Ranking
626

Genetics

D-Index
166
Citations
408636
World Ranking
74
National Ranking
39

Steven L. Salzberg 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 Steven L. Salzberg 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: 480 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Steven L. Salzberg 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 Steven L. Salzberg 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: 166 D-Index — 98th percentile

98% 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

  • 2026 - Research.com Genetics in United States Leader Award
  • 2025 - Research.com Genetics in United States Leader Award
  • 2024 - Research.com Genetics in United States Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in United States Leader Award
  • 2023 - Research.com Genetics in United States Leader Award
  • 2020 - ACM Fellow For contributions to computational biology, including software for DNA sequence analysis, alignment, and genome assembly
  • 2018 - Fellow of the American Academy of Arts and Sciences
  • 2017 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2013 - Fellow of the International Society for Computational Biology
  • 2004 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Steven L. Salzberg is affiliated with Johns Hopkins University in the United States. Their research primarily focuses on the field of Biochemistry, Genetics, and Molecular Biology, with a significant number of publications spanning subfields such as Molecular Biology, Plant Science, Genetics, Ecology, and Endocrinology.

The research topics associated with Salzberg include:

  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Chromosomal and Genetic Variations
  • RNA modifications and cancer
  • Machine Learning in Bioinformatics
  • RNA Research and Splicing
  • Plant and Fungal Interactions Research

Salzberg has authored numerous papers published in a variety of scientific venues. Frequent publication outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Nature
  • G3 Genes Genomes Genetics
  • Genome biology

Recent representative papers include:

  • "The complete sequence of a human genome" (2022) published in Science
  • "Liftoff: accurate mapping of gene annotations" (2020) published in Bioinformatics
  • "Metagenome analysis using the Kraken software suite" (2022) published in Nature Protocols
  • "The genome polishing tool POLCA makes fast and accurate corrections in genome assemblies" (2020) published in PLoS Computational Biology
  • "The complete sequence of a human Y chromosome" (2023) published in Nature

The scientist has frequently collaborated with several researchers, including:

  • Aleksey V. Zimin
  • Mihaela Pertea
  • Daniela Puiu
  • Alaina Shumate
  • Jennifer Lu

Among professional recognitions, Salzberg has received several fellowships:

  • ACM Fellow (2020) for contributions to computational biology, including software for DNA sequence analysis, alignment, and genome assembly
  • Fellow of the American Academy of Arts and Sciences (2018)
  • Fellow of the Indian National Academy of Engineering (2017)
  • Fellow of the International Society for Computational Biology (2013)
  • Fellow of the American Association for the Advancement of Science (2004)

Best Publications

  • Fast gapped-read alignment with Bowtie 2

    Ben Langmead;Steven L Salzberg;Steven L Salzberg;Steven L Salzberg

  • Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

    Ben Langmead;Cole Trapnell;Mihai Pop;Steven L Salzberg

  • HISAT: a fast spliced aligner with low memory requirements

    Daehwan Kim;Ben Langmead;Steven L Salzberg

  • The Sequence of the Human Genome

    J. Craig Venter;Mark D. Adams;Eugene W. Myers;Peter W. Li

  • Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

    Cole Trapnell;Cole Trapnell;Brian A Williams;Geo Pertea;Ali Mortazavi

  • TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions

    Daehwan Kim;Daehwan Kim;Geo Pertea;Cole Trapnell;Cole Trapnell;Harold Pimentel

  • TopHat: discovering splice junctions with RNA-Seq

    Cole Trapnell;Lior Pachter;Steven L. Salzberg

  • Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks

    Cole Trapnell;Adam Roberts;Loyal Goff;Loyal Goff;Loyal Goff;Geo Pertea

  • FLASH: Fast Length Adjustment of Short Reads to Improve Genome Assemblies

    Tanja Magoč;Steven L. Salzberg

  • StringTie enables improved reconstruction of a transcriptome from RNA-seq reads

    Mihaela Pertea;Geo M. Pertea;Corina M. Antonescu;Tsung Cheng Chang

  • Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype

    Daehwan Kim;Joseph M. Paggi;Chanhee Park;Christopher Bennett

  • Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown

    Mihaela Pertea;Daehwan Kim;Geo M Pertea;Jeffrey T Leek

  • Versatile and open software for comparing large genomes

    Stefan Kurtz;Adam Phillippy;Arthur L Delcher;Michael Smoot

  • Genome sequence of the human malaria parasite Plasmodium falciparum

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

  • The Transcriptional Landscape of the Mammalian Genome

    P. Carninci;T. Kasukawa;S. Katayama;J. Gough

  • The complete sequence of a human genome

    Unknown

  • Kraken: ultrafast metagenomic sequence classification using exact alignments

    Derrick E Wood;Derrick E Wood;Steven L Salzberg;Steven L Salzberg

  • Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments

    Brian J Haas;Brian J Haas;Steven L Salzberg;Wei Zhu;Mihaela Pertea

  • The ENCODE (ENCyclopedia of DNA elements) Project

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

  • Identifying bacterial genes and endosymbiont DNA with Glimmer

    Arthur L. Delcher;Kirsten A. Bratke;Edwin C. Powers;Steven L. Salzberg

Frequent Co-Authors

Mihaela Pertea
Mihaela Pertea Johns Hopkins University
Daniela Puiu
Daniela Puiu Johns Hopkins University
Claire M. Fraser
Claire M. Fraser University of Maryland, Baltimore
Arthur L. Delcher
Arthur L. Delcher University of Maryland, College Park
Michael C. Schatz
Michael C. Schatz Johns Hopkins University
Jonathan A. Eisen
Jonathan A. Eisen University of California, Davis
Brian J. Haas
Brian J. Haas Broad Institute
Jennifer R. Wortman
Jennifer R. Wortman Broad Institute
Mihai Pop
Mihai Pop University of Maryland, College Park
Adam M. Phillippy
Adam M. Phillippy National Institutes of Health

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Genetics opens doors to several related online programs and diverse career pathways in health and research. For students interested in patient care, there are specialized nursing programs without TEAS or HESI exam requirements, simplifying entry into the nursing field. These programs are ideal for those looking to combine genetics knowledge with hands-on healthcare experience.

Advancing your career further is also possible through affordable graduate options, like the cheapest master's in healthcare administration degrees available online. Such qualifications can position you for leadership roles in healthcare or research facilities.

If you wish to accelerate your entry into the workforce, explore fast track medical programs such as online LPN tracks. These can quickly prepare you for roles that apply genetic principles in clinical settings. For those aiming for the highest credentials, the cheapest online nursing PhD programs can lead to academic, research, or advanced clinical positions where genetics expertise is highly valued.

Best Scientists Citing Steven L. Salzberg

Trending Scientists

Recently Published Articles