World's Best Scientists 2026 revealed!
Katleen De Preter

Katleen De Preter

D-Index & Metrics

Genetics

D-Index
53
Citations
31734
World Ranking
3679
National Ranking
52

Katleen De Preter 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 Katleen De Preter 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: 269 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Katleen De Preter 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 Katleen De Preter 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: 53 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Katleen De Preter is affiliated with Ghent University in Belgium and has contributed extensively to research within the fields of Biochemistry, Genetics and Molecular Biology, as well as Medicine. Their work spans numerous subfields, including Molecular Biology, Cancer Research, Neurology, Oncology, and Pulmonary and Respiratory Medicine.

The scientist's scholarly output encompasses a variety of topics, with significant focus on Neuroblastoma Research and Treatments, Cancer Genomics and Diagnostics, Cancer-related molecular mechanisms research, Epigenetics and DNA Methylation, Renal and related cancers, RNA modifications and cancer, and Gene expression and cancer classification.

Katleen De Preter's recent publications include:

  • Benchmarking of cell type deconvolution pipelines for transcriptomics data, 2020, Nature Communications
  • The RNA Atlas expands the catalog of human non-coding RNAs, 2021, Nature Biotechnology
  • Frequency and Prognostic Impact of ALK Amplifications and Mutations in the European Neuroblastoma Study Group (SIOPEN) High-Risk Neuroblastoma Trial (HR-NBL1), 2021, Journal of Clinical Oncology
  • The pitfalls and promise of liquid biopsies for diagnosing and treating solid tumors in children: a review, 2020, European Journal of Pediatrics
  • Minimally invasive classification of paediatric solid tumours using reduced representation bisulphite sequencing of cell-free DNA: a proof-of-principle study, 2020, Epigenetics

The venues where this researcher publishes most frequently include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Nature Biotechnology
  • European Journal of Pediatrics
  • Epigenetics

Frequent co-authors in their research collaborations are:

  • Frank Speleman
  • Pieter Mestdagh
  • Jo Vandesompele
  • Ruben Van Paemel
  • Bram De Wilde

Best Publications

  • Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

    Jo Vandesompele;Katleen De Preter;Filip Pattyn;Bruce Poppe

  • Mutational dynamics between primary and relapse neuroblastomas

    Alexander Schramm;Johannes Köster;Johannes Köster;Yassen Assenov;Kristina Althoff

  • Meta-analysis of Neuroblastomas Reveals a Skewed ALK Mutation Spectrum in Tumors with MYCN Amplification

    Sara De Brouwer;Katleen De Preter;Candy Kumps;Piotr Zabrocki

  • Evaluation of qPCR curve analysis methods for reliable biomarker discovery: bias, resolution, precision, and implications.

    Jan M. Ruijter;Michael W. Pfaffl;Sheng Zhao;Andrej N. Spiess

  • Benchmarking of cell type deconvolution pipelines for transcriptomics data.

    Francisco Avila Cobos;Francisco Avila Cobos;José Alquicira-Hernandez;José Alquicira-Hernandez;Joseph E. Powell;Joseph E. Powell;Pieter Mestdagh

  • Measurable impact of RNA quality on gene expression results from quantitative PCR

    Joëlle Vermeulen;Katleen De Preter;Steve Lefever;Justine Nuytens

  • Computational deconvolution of transcriptomics data from mixed cell populations.

    Francisco Avila Cobos;Jo Vandesompele;Pieter Mestdagh;Katleen De Preter

  • Predicting outcomes for children with neuroblastoma using a multigene-expression signature: a retrospective SIOPEN/COG/GPOH study

    Joëlle Vermeulen;Katleen De Preter;Arlene Naranjo;Liesbeth Vercruysse

  • Unequivocal Delineation of Clinicogenetic Subgroups and Development of a New Model for Improved Outcome Prediction in Neuroblastoma

    Jo Vandesompele;Michael Baudis;Katleen De Preter;Nadine Van Roy

  • Quantification of MYCN, DDX1, and NAG Gene Copy Number in Neuroblastoma Using a Real-Time Quantitative PCR Assay

    Katleen De Preter;Frank Speleman;Valérie Combaret;John Lunec

  • Targeted expression of mutated ALK induces neuroblastoma in transgenic mice.

    Lukas C Heukamp;Theresa Thor;Alexander Schramm;Katleen De Preter

  • Human fetal neuroblast and neuroblastoma transcriptome analysis confirms neuroblast origin and highlights neuroblastoma candidate genes

    Katleen De Preter;Jo Vandesompele;Pierre Heimann;Nurten Yigit

  • Asthma inflammatory phenotypes show differential microRNA expression in sputum

    Tania Maes;Francisco Avila Cobos;Florence Schleich;Valentina Sorbello

  • Targeting MYCN-Driven Transcription By BET-Bromodomain Inhibition

    Anton Henssen;Anton Henssen;Kristina Althoff;Andrea Odersky;Anneleen Beckers

  • An integrative genomics screen uncovers ncRNA T-UCR functions in neuroblastoma tumours

    P. Mestdagh;Erik Fredlund;Erik Fredlund;F. Pattyn;A. Rihani

  • MYCN/c-MYC-induced microRNAs repress coding gene networks associated with poor outcome in MYCN/c-MYC-activated tumors

    P Mestdagh;E Fredlund;F Pattyn;J H Schulte

  • A Cre-conditional MYCN-driven neuroblastoma mouse model as an improved tool for preclinical studies.

    K Althoff;A Beckers;E Bell;M Nortmeyer

  • Cross-Cohort Analysis Identifies a TEAD4-MYCN Positive Feedback Loop as the Core Regulatory Element of High-Risk Neuroblastoma.

    Presha Rajbhandari;Gonzalo Lopez;Gonzalo Lopez;Claudia Capdevila;Beatrice Salvatori

  • Therapeutic targeting of the MYC signal by inhibition of histone chaperone FACT in neuroblastoma

    Daniel R. Carter;Jayne Murray;Belamy B. Cheung;Laura Gamble

  • SCORPIUS improves trajectory inference and identifies novel modules in dendritic cell development

    Cannoodt R;Saelens W;Sichien D;Tavernier S

Frequent Co-Authors

Jo Vandesompele
Jo Vandesompele Ghent University
Franki Speleman
Franki Speleman Ghent University
Johannes H. Schulte
Johannes H. Schulte Charité - University Medicine Berlin
Nadine Van Roy
Nadine Van Roy Ghent University
Pieter Mestdagh
Pieter Mestdagh Ghent University
Genevieve Laureys
Genevieve Laureys Ghent University Hospital
Björn Menten
Björn Menten Ghent University Hospital
Rogier Versteeg
Rogier Versteeg University of Amsterdam
Anne De Paepe
Anne De Paepe Ghent University Hospital
Jan Koster
Jan Koster University of Amsterdam

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