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2025

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Rising Stars

D-Index
57
Citations
21686
World Ranking
187
National Ranking
23

Genetics

D-Index
64
Citations
29444
World Ranking
2743
National Ranking
1205

Fritz J. Sedlazeck 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 Fritz J. Sedlazeck 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: 205 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Fritz J. Sedlazeck 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 Fritz J. Sedlazeck 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: 64 D-Index — 37th percentile

37% 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

  • 2025 - Research.com Rising Stars Award

Overview

Fritz J. Sedlazeck is affiliated with Baylor College of Medicine in the United States. Their research portfolio encompasses a wide range of topics within the field of Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology, Genetics, Cancer Research, Plant Science, and Infectious Diseases.

Their published work frequently appears in prominent scientific venues, primarily:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Nature Biotechnology
  • Genome Research
  • Genome biology

Sedlazeck has contributed extensively to the study of genomics with particular interests in:

  • Genomics and Phylogenetic Studies
  • Genomics and Rare Diseases
  • Cancer Genomics and Diagnostics
  • Genomic variations and chromosomal abnormalities
  • Chromosomal and Genetic Variations
  • Genomics and Chromatin Dynamics
  • Molecular Biology Techniques and Applications

Among their recent papers are:

  • "The complete sequence of a human genome" (2022) published in Science
  • "Major Impacts of Widespread Structural Variation on Gene Expression and Crop Improvement in Tomato" (2020) published in Cell
  • "Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes" (2020) published in Nature Biotechnology
  • "Targeted nanopore sequencing with Cas9-guided adapter ligation" (2020) published in Nature Biotechnology
  • "A robust benchmark for detection of germline large deletions and insertions" (2020) published in Nature Biotechnology

Frequent collaborators in Sedlazeck's research include:

  • Medhat Mahmoud
  • Justin M. Zook
  • Luis F. Paulin
  • Richard A. Gibbs
  • Nathan D. Olson

The breadth of Sedlazeck's research reflects a strong emphasis on genomic structural variation and its applications to human health and crop science. Their publications in leading journals illuminate advances in sequencing technologies, genome assembly, and genomic variant benchmarking, contributing to fields such as cancer genomics and crop improvement.

Best Publications

  • Phased diploid genome assembly with single-molecule real-time sequencing

    Chen-Shan Chin;Paul Peluso;Fritz J Sedlazeck;Maria Nattestad

  • GenomeScope: fast reference-free genome profiling from short reads

    Gregory W Vurture;Fritz J Sedlazeck;Maria Nattestad;Charles J Underwood

  • Accurate detection of complex structural variations using single-molecule sequencing.

    Fritz J. Sedlazeck;Philipp Rescheneder;Moritz Smolka;Han Fang

  • Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome.

    Aaron M. Wenger;Paul Peluso;William J. Rowell;Pi-Chuan Chang

  • Transient structural variations have strong effects on quantitative traits and reproductive isolation in fission yeast.

    Daniel C. Jeffares;Clemency Jolly;Mimoza Hoti;Doug Speed

  • Major Impacts of Widespread Structural Variation on Gene Expression and Crop Improvement in Tomato.

    Michael Alonge;Xingang Wang;Matthias Benoit;Matthias Benoit;Sebastian Soyk

  • Structural variant calling: the long and the short of it

    Medhat Mahmoud;Nastassia Gobet;Nastassia Gobet;Diana Ivette Cruz-Dávalos;Diana Ivette Cruz-Dávalos;Ninon Mounier

  • 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

  • Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes.

    Kishwar Shafin;Trevor Pesout;Ryan Lorig-Roach;Marina Haukness

  • RaGOO: fast and accurate reference-guided scaffolding of draft genomes

    Michael Alonge;Sebastian Soyk;Srividya Ramakrishnan;Xingang Wang

  • Updating benchtop sequencing performance comparison

    Sebastian Jünemann;Sebastian Jünemann;Fritz Joachim Sedlazeck;Karola Prior;Andreas Albersmeier

  • Piercing the dark matter: bioinformatics of long-range sequencing and mapping

    Fritz J. Sedlazeck;Hayan Lee;Charlotte A. Darby;Michael C. Schatz;Michael C. Schatz

  • A robust benchmark for detection of germline large deletions and insertions.

    Justin M. Zook;Nancy F. Hansen;Nathan D. Olson;Lesley Chapman

  • NextGenMap: Fast and accurate read mapping in highly polymorphic genomes

    Fritz J. Sedlazeck;Philipp Rescheneder;Arndt von Haeseler

  • Targeted nanopore sequencing with Cas9-guided adapter ligation

    Timothy Gilpatrick;Isac Lee;James E Graham;Etienne Raimondeau

  • Towards population-scale long-read sequencing.

    Wouter De Coster;Matthias H. Weissensteiner;Fritz J. Sedlazeck

  • Chromosomal-level assembly of the Asian seabass genome using long sequence reads and multi-layered scaffolding

    Shubha Vij;Heiner Kuhl;Inna S. Kuznetsova;Inna S. Kuznetsova;Aleksey Komissarov

  • A multi-task convolutional deep neural network for variant calling in single molecule sequencing

    Ruibang Luo;Ruibang Luo;Fritz J. Sedlazeck;Tak-Wah Lam;Michael C. Schatz

  • Complex rearrangements and oncogene amplifications revealed by long-read DNA and RNA sequencing of a breast cancer cell line

    Maria Nattestad;Sara Goodwin;Karen Ng;Timour Baslan

  • Simultaneous profiling of chromatin accessibility and methylation on human cell lines with nanopore sequencing.

    Isac Lee;Roham Razaghi;Timothy Gilpatrick;Michael Molnar

Frequent Co-Authors

Michael C. Schatz
Michael C. Schatz Johns Hopkins University
Arndt von Haeseler
Arndt von Haeseler University of Vienna
Justin M. Zook
Justin M. Zook National Institute of Standards and Technology
Chen-Shan Chin
Chen-Shan Chin Pacific Biosciences (United States)
Tobias Marschall
Tobias Marschall Heinrich Heine University Düsseldorf
Zachary B. Lippman
Zachary B. Lippman Cold Spring Harbor Laboratory
Richard A. Gibbs
Richard A. Gibbs Baylor College of Medicine
Christopher E. Mason
Christopher E. Mason Cornell University
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Jochen B. W. Wolf
Jochen B. W. Wolf Ludwig-Maximilians-Universität München

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