World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
58
Citations
15078
World Ranking
3308
National Ranking
401

John W. S. Brown 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 John W. S. Brown 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: 147 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

John W. S. Brown 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 John W. S. Brown 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: 58 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Overview

John W. S. Brown is affiliated with the James Hutton Institute in the United Kingdom. Their research spans several areas within medicine and biochemistry, genetics, and molecular biology, with particular emphasis on molecular biology techniques, RNA biology, and cardiovascular medicine.

The scientist's work primarily addresses topics such as RNA modifications and cancer, RNA research and splicing, cardiac valve diseases and treatments, congenital heart disease studies, cardiac structural anomalies and repair, molecular biology techniques and applications, and RNA and protein synthesis mechanisms.

They have published research in multiple venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • World Journal for Pediatric and Congenital Heart Surgery
  • The Annals of Thoracic Surgery
  • UNC Libraries
  • BMC Genomics

Frequent coauthors include:

  • Runxuan Zhang
  • Wenbin Guo
  • Jeremy L. Herrmann
  • Mark W. Turrentine
  • Nikoleta A. Τzioutziou

Recent papers authored or coauthored by John W. S. Brown include:

  • "Illuminating the dark side of the human transcriptome with long read transcript sequencing," 2020, published in BMC Genomics
  • "3D RNA-seq: a powerful and flexible tool for rapid and accurate differential expression and alternative splicing analysis of RNA-seq data for biologists," 2020, published in RNA Biology
  • "A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis," 2022, published in Genome Biology
  • "Nonsense-Mediated RNA Decay Factor UPF1 Is Critical for Posttranscriptional and Translational Gene Regulation in Arabidopsis," 2020, published in The Plant Cell
  • "BaRTv2: a highly resolved barley reference transcriptome for accurate transcript-specific RNA-seq quantification," 2022, published in The Plant Journal

Best Publications

  • A physical, genetic and functional sequence assembly of the barley genome

    Klaus F.X. Mayer;Robbie Waugh;Peter Langridge;Timothy J. Close

  • Transcriptome survey reveals increased complexity of the alternative splicing landscape in Arabidopsis

    Yamile Marquez;John Ws Brown;Craig G Simpson;Andrea Barta

  • Filtering of deep sequencing data reveals the existence of abundant Dicer-dependent small RNAs derived from tRNAs

    Christian Cole;Andrew Sobala;Cheng Lu;Shawn R. Thatcher

  • Alternative Splicing at the Intersection of Biological Timing, Development, and Stress Responses

    Dorothee Staiger;John W.S. Brown

  • Alternative splicing in plants--coming of age.

    Naeem H. Syed;Maria Kalyna;Yamile Marquez;Andrea Barta

  • Alternative splicing and nonsense-mediated decay modulate expression of important regulatory genes in Arabidopsis

    Maria Kalyna;Craig G. Simpson;Naeem H. Syed;Dominika Lewandowska

  • A catalogue of splice junction and putative branch point sequences from plant introns.

    John W.S. Brown

  • Proteomic Analysis of the Arabidopsis Nucleolus Suggests Novel Nucleolar Functions

    Alison F. Pendle;Gillian P. Clark;Reinier A. Boon;Dominika Lewandowska

  • Alternative Splicing Mediates Responses of the Arabidopsis Circadian Clock to Temperature Changes

    Allan B. James;Naeem Hasan Syed;Simon Bordage;Jacqueline Marshall

  • A methyl transferase links the circadian clock to the regulation of alternative splicing

    Sabrina E. Sanchez;Ezequiel Petrillo;Esteban J. Beckwith;Xu Zhang

  • Long Noncoding RNA Modulates Alternative Splicing Regulators in Arabidopsis

    Florian Bardou;Federico Ariel;Craig G. Simpson;Natali Romero-Barrios

  • Exome sequencing of geographically diverse barley landraces and wild relatives gives insights into environmental adaptation

    Joanne Russell;Martin Mascher;Ian K Dawson;Stylianos Kyriakidis

  • Molecular analysis of resveratrol synthase. cDNA, genomic clones and relationship with chalcone synthase.

    Gudrun Schröder;John W. S. Brown;Joachim Schröder

  • Rapid and Dynamic Alternative Splicing Impacts the Arabidopsis Cold Response Transcriptome

    Cristiane P.G. Calixto;Wenbin Guo;Wenbin Guo;Allan B. James;Nikoleta A. Tzioutziou

  • A high quality Arabidopsis transcriptome for accurate transcript-level analysis of alternative splicing

    Runxuan Zhang;Cristiane P. G. Calixto;Yamile Marquez;Peter Venhuizen

  • SPLICE SITE SELECTION IN PLANT PRE-mRNA SPLICING

    J. W. S. Brown;C. G. Simpson

  • A chloroplast retrograde signal regulates nuclear alternative splicing

    Ezequiel Petrillo;Micaela Amalia Godoy Herz;Armin Fuchs;Dominik Reifer

  • Interaction of a plant virus-encoded protein with the major nucleolar protein fibrillarin is required for systemic virus infection

    Sang Hyon Kim;Stuart MacFarlane;Natalia O. Kalinina;Daria V. Rakitina

  • Cajal bodies and the nucleolus are required for a plant virus systemic infection

    Sang Hyon Kim;Eugene V Ryabov;Natalia O Kalinina;Natalia O Kalinina;Daria V Rakitina;Daria V Rakitina

  • Arabidopsis consensus intron sequences.

    John W. S. Brown;Philip Smith;Craig G. Simpson

Frequent Co-Authors

Robbie Waugh
Robbie Waugh James Hutton Institute
Peter Shaw
Peter Shaw Norwich Research Park
Andrea Barta
Andrea Barta Medical University of Vienna
Hugh G. Nimmo
Hugh G. Nimmo University of Glasgow
James W. McNicol
James W. McNicol University of Dundee
Michael E. Taliansky
Michael E. Taliansky James Hutton Institute
David Marshall
David Marshall James Hutton Institute
Dorothee Staiger
Dorothee Staiger Bielefeld University
Alberto R. Kornblihtt
Alberto R. Kornblihtt University of Buenos Aires
Pete E. Hedley
Pete E. Hedley James Hutton Institute

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