World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
67
Citations
45187
World Ranking
2472
National Ranking
313

Julian Gough 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 Julian Gough 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: 125 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Julian Gough 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 Julian Gough 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

Julian Gough is affiliated with the University of Bristol in the United Kingdom. Their research primarily focuses on the fields of Biochemistry, Genetics and Molecular Biology, where they have contributed to 25 publications. Within this broad area, Julian's work specializes in Molecular Biology, Genetics, Materials Chemistry, Radiology, Nuclear Medicine and Imaging, as well as Spectroscopy.

The topics closely related to their research include Biomedical Text Mining and Ontologies, Machine Learning in Bioinformatics, Genomics and Phylogenetic Studies, Genomics and Rare Diseases, Bioinformatics and Genomic Networks, Protein Structure and Dynamics, and Enzyme Structure and Function. These areas reflect a strong interdisciplinary approach combining computational and molecular techniques.

Julian Gough's recent papers demonstrate a focus on protein sequences, genome interpretation, and genetic risk factors. Their notable publications include:

  • InterPro in 2022, published in Nucleic Acids Research
  • The InterPro protein families and domains database: 20 years on (2020) in Nucleic Acids Research
  • InterPro: the protein sequence classification resource in 2025 (2024) in Nucleic Acids Research
  • CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods (2024) in Genome Biology
  • Genetic risk factors for death with SARS-CoV-2 from the UK Biobank (2020) in bioRxiv (Cold Spring Harbor Laboratory)

The venues where Julian frequently publishes include:

  • Nucleic Acids Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Genome Biology
  • Computational and Structural Biotechnology Journal
  • Scientific Reports

Collaboration is evident in their work, with frequent co-authors including:

  • Arun Prasad Pandurangan
  • Chang Lu
  • Typhaine Paysan-Lafosse
  • Matthias Blum
  • Sara Chuguransky

These collaborations contribute to research spanning protein sequence databases, genome interpretation assessments, and the analysis of molecular and genetic factors in disease contexts.

Best Publications

  • The Transcriptional Landscape of the Mammalian Genome

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

  • InterPro: the integrative protein signature database

    Sarah Hunter;Rolf Apweiler;Teresa K. Attwood;Amos Bairoch

  • Classification of intrinsically disordered regions and proteins.

    Robin van der Lee;Robin van der Lee;Marija Buljan;Benjamin Lang;Robert J. Weatheritt

  • The InterPro protein families and domains database: 20 years on.

    Matthias Blum;Hsin Yu Chang;Sara Chuguransky;Tiago Grego

  • Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

    Y. Okazaki;M. Furuno;T. Kasukawa;J. Adachi

  • A promoter-level mammalian expression atlas

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

  • InterPro in 2017-beyond protein family and domain annotations

    Robert D. Finn;Teresa K. Attwood;Patricia C. Babbitt;Alex Bateman

  • InterPro in 2019: improving coverage, classification and access to protein sequence annotations.

    Alex L. Mitchell;Teresa K. Attwood;Patricia C. Babbitt;Matthias Blum

  • The InterPro protein families database: the classification resource after 15 years

    Alex L. Mitchell;Hsin-Yu Chang;Louise C. Daugherty;Matthew Fraser

  • Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure.

    Julian Gough;Kevin Karplus;Richard Hughey;Cyrus Chothia

  • Predicting the functional, molecular, and phenotypic consequences of amino acid substitutions using hidden Markov models.

    Hashem A. Shihab;Julian Gough;David Neil Cooper;Peter Daniel Stenson

  • InterPro in 2011: new developments in the family and domain prediction database

    Sarah Hunter;Philip Jones;Alex Mitchell;Rolf Apweiler

  • A large-scale evaluation of computational protein function prediction

    Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

  • An atlas of human long non-coding RNAs with accurate 5′ ends

    Chung Chau Hon;Jordan A. Ramilowski;Jayson Harshbarger;Nicolas Bertin;Nicolas Bertin

  • An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man

    Timothy Ravasi;Harukazu Suzuki;Carlo Vittorio Cannistraci;Shintaro Katayama

  • D2P2: database of disordered protein predictions

    Matt E. Oates;Pedro Romero;Takashi Ishida;Mohamed F. Ghalwash

  • InterPro, progress and status in 2005

    Nicola J. Mulder;Rolf Apweiler;Teresa K. Attwood;Amos Bairoch

  • An integrative approach to predicting the functional effects of non-coding and coding sequence variation

    Hashem A. Shihab;Mark F. Rogers;Julian Gough;Matthew E. Mort

  • Evolution of the Protein Repertoire

    Cyrus Chothia;Julian Gough;Christine Vogel;Sarah A. Teichmann

  • New developments in the InterPro database

    Nicola J. Mulder;Rolf Apweiler;Teresa K. Attwood;Amos Bairoch

Frequent Co-Authors

Christine A. Orengo
Christine A. Orengo University College London
Cyrus Chothia
Cyrus Chothia MRC Laboratory of Molecular Biology
Sarah A. Teichmann
Sarah A. Teichmann University of Cambridge
David T. Jones
David T. Jones University College London
Ian Sillitoe
Ian Sillitoe University College London
Alistair R. R. Forrest
Alistair R. R. Forrest Harry Perkins Institute of Medical Research
Winston Hide
Winston Hide Harvard Medical School

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