World's Best Scientists 2026 revealed!
Peter A. C. 't Hoen

Peter A. C. 't Hoen

D-Index & Metrics

Genetics

D-Index
67
Citations
24630
World Ranking
2497
National Ranking
93

Peter A. C. 't Hoen 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 Peter A. C. 't Hoen 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: 223 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Peter A. C. 't Hoen 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 Peter A. C. 't Hoen 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: 67 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Peter A. C. 't Hoen is affiliated with Radboud University in the Netherlands. Their research contributions are centered primarily within the fields of Biochemistry, Genetics, and Molecular Biology, with a total of 195 publications. Their subfields of study include Molecular Biology, Genetics, Cancer Research, Immunology, and Information Systems.

The main topics addressed in their work span several areas:

  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • Research Data Management Practices
  • Cancer Genomics and Diagnostics
  • Scientific Computing and Data Management
  • RNA and protein synthesis mechanisms
  • Genetic Neurodegenerative Diseases

Peter A. C. 't Hoen's frequent co-authors are:

  • Rick Jansen
  • Joyce B. J. van Meurs
  • Jenny van Dongen
  • Morris A. Swertz
  • Dorret I. Boomsma

The scientist's recent papers illustrate a focus on genetic regulation, deep learning prediction models, and rare disease diagnostics. Some notable publications include:

  • "Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression," 2021, Nature Genetics
  • "Identification of 371 genetic variants for age at first sex and birth linked to externalising behaviour," 2021, Nature Human Behaviour
  • "Benchmarking deep learning splice prediction tools using functional splice assays," 2021, Human Mutation
  • "Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases," 2021, European Journal of Human Genetics
  • "Comprehensive diagnostics of acute myeloid leukemia by whole transcriptome RNA sequencing," 2020, Leukemia

Publication venues frequently associated with their research include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • European Journal of Human Genetics
  • Orphanet Journal of Rare Diseases
  • Frontiers in Molecular Biosciences

Best Publications

  • Transcriptome and genome sequencing uncovers functional variation in humans

    Tuuli Lappalainen;Michael Sammeth;Marc R. Friedländer;Peter A. C. ‘t Hoen

  • A promoter-level mammalian expression atlas

    Alistair R.R. Forrest;Hideya Kawaji;Michael Rehli;J. Kenneth Baillie

  • Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

    Urmo Võsa;Annique Claringbould;Annique Claringbould;Harm-Jan Westra;Marc Jan Bonder

  • Systematic identification of trans eQTLs as putative drivers of known disease associations

    Harm-Jan Westra;Marjolein J Peters;Tõnu Esko;Hanieh Yaghootkar

  • Gateways to the FANTOM5 promoter level mammalian expression atlas

    Marina Lizio;Jayson Harshbarger;Hisashi Shimoji;Jessica Severin

  • Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms

    Peter A. C. 't Hoen;Yavuz Ariyurek;Helene H. Thygesen;Erno Vreugdenhil

  • Deep sequencing of RNA from immune cell-derived vesicles uncovers the selective incorporation of small non-coding RNA biotypes with potential regulatory functions

    Esther N. M. Nolte-’t Hoen;Henk P. J. Buermans;Maaike Waasdorp;Willem Stoorvogel

  • Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

    Louise V. Wain;Germaine C. Verwoert;Paul F. O'Reilly;Gang Shi

  • Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis

    Võsa U;Claringbould A;Westra H;Bonder Mj

  • Disease variants alter transcription factor levels and methylation of their binding sites.

    Marc Jan Bonder;René Luijk;Daria V Zhernakova;Matthijs Moed

  • Identification of context-dependent expression quantitative trait loci in whole blood

    Daria V Zhernakova;Patrick Deelen;Martijn Vermaat;Maarten van Iterson

  • Alternative mRNA transcription, processing, and translation: insights from RNA sequencing

    Eleonora de Klerk;Peter A.C. ‘t Hoen

  • Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution.

    Maarten van Iterson;Erik W van Zwet;Bastiaan T Heijmans;Peter a.C ’t Hoen

  • Prorenin Induces Intracellular Signaling in Cardiomyocytes Independently of Angiotensin II

    Jasper J. Saris;Peter A.C. ’t Hoen;Ingrid M. Garrelds;Dick H.W. Dekkers

  • Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories

    Peter A C 't Hoen;Marc R Friedländer;Jonas Almlöf;Michael Sammeth

  • Guidelines for antisense oligonucleotide design and insight into splice-modulating mechanisms.

    Annemieke Aartsma-Rus;Laura van Vliet;Marscha Hirschi;Anneke A M Janson

  • Genetic variation in T-box binding element functionally affects SCN5A/SCN10A enhancer

    Malou van den Boogaard;L.Y. Elaine Wong;Federico Tessadori;Martijn L. Bakker

  • Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels

    Harmen H. M. Draisma;Harmen H. M. Draisma;René Pool;René Pool;Michael Kobl;Rick Jansen

  • Phage display screening without repetitious selection rounds.

    Peter A.C. ’t Hoen;Silvana M.G. Jirka;Bradley R. ten Broeke;Erik A. Schultes

  • T-box transcription factor TBX3 reprogrammes mature cardiac myocytes into pacemaker-like cells.

    Martijn L. Bakker;Gerard J.J. Boink;Bas J. Boukens;Arie O. Verkerk

Frequent Co-Authors

Gert-Jan B. van Ommen
Gert-Jan B. van Ommen Leiden University Medical Center
Johan T. den Dunnen
Johan T. den Dunnen Leiden University Medical Center
Annemieke Aartsma-Rus
Annemieke Aartsma-Rus Leiden University Medical Center
Lude Franke
Lude Franke University Medical Center Groningen
Dorret I. Boomsma
Dorret I. Boomsma Vrije Universiteit Amsterdam
Bastiaan T. Heijmans
Bastiaan T. Heijmans Leiden University Medical Center
Jan H. Veldink
Jan H. Veldink Utrecht University
P. Eline Slagboom
P. Eline Slagboom Leiden University Medical Center
Marleen M. J. van Greevenbroek
Marleen M. J. van Greevenbroek Maastricht University
Cisca Wijmenga
Cisca Wijmenga University Medical Center Groningen

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