World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
74
Citations
19288
World Ranking
1966
National Ranking
247

Xavier Didelot 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 Xavier Didelot 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: 176 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Xavier Didelot 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 Xavier Didelot 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: 74 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Xavier Didelot is affiliated with the University of Warwick in the United Kingdom and works primarily in the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their research spans several interconnected areas such as Molecular Biology, Infectious Diseases, Genetics, Microbiology, and Food Science.

Their work encompasses a range of topics including:

  • Genomics and Phylogenetic Studies
  • Evolution and Genetic Dynamics
  • Salmonella and Campylobacter epidemiology
  • Antibiotic Resistance in Bacteria
  • Bacteriophages and microbial interactions
  • Bacterial Identification and Susceptibility Testing
  • SARS-CoV-2 and COVID-19 Research

Recent papers authored or co-authored by Xavier Didelot demonstrate a focus on microbial evolution, antimicrobial resistance, and infectious disease dynamics. Selected recent publications include:

  • "Rapid expansion and international spread of M1UK in the post-pandemic UK upsurge of Streptococcus pyogenes," 2024, Nature Communications
  • "Emergence of methicillin resistance predates the clinical use of antibiotics," 2022, Nature
  • "Major genetic discontinuity and novel toxigenic species in Clostridioides difficile taxonomy," 2021, eLife
  • "Inference of person-to-person transmission of COVID-19 reveals hidden super-spreading events during the early outbreak phase," 2020, Nature Communications
  • "Population genomics and antimicrobial resistance in Corynebacterium diphtheriae," 2020, Genome Medicine

Frequent collaboration is evident in their work, with notable co-authors including Paolo Ribeca, Erik Volz, David Helekal, Alice Ledda, and Matt J. Keeling. These collaborations often enhance research across molecular epidemiology and infectious disease modeling.

The venues where Xavier Didelot most frequently publishes highlight their focus on both foundational and applied research in microbial genomics and epidemiology. Key publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Microbial Genomics
  • Nature Communications
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)

Best Publications

  • Transforming clinical microbiology with bacterial genome sequencing

    Xavier Didelot;Rory Bowden;Rory Bowden;Rory Bowden;Daniel J. Wilson;Daniel J. Wilson;Tim E. A. Peto

  • ClonalFrameML: efficient inference of recombination in whole bacterial genomes.

    Xavier Didelot;Daniel J. Wilson

  • Inference of Bacterial Microevolution Using Multilocus Sequence Data

    Xavier Didelot;Daniel Falush

  • Diverse Sources of C. difficile Infection Identified on Whole-Genome Sequencing

    D W Eyre;M L Cule;D J Wilson;D Griffiths

  • A comparison of homologous recombination rates in bacteria and archaea.

    Michiel Vos;Xavier Didelot

  • The global distribution and spread of the mobilized colistin resistance gene mcr-1.

    Ruobing Wang;Lucy van Dorp;Liam P. Shaw;Phelim Bradley

  • Within-host evolution of bacterial pathogens

    Xavier Didelot;A. Sarah Walker;Tim E. Peto;Derrick W. Crook;Derrick W. Crook

  • Impact of recombination on bacterial evolution

    Xavier Didelot;Martin C.J. Maiden

  • Genome-wide association study identifies vitamin B5 biosynthesis as a host specificity factor in Campylobacter

    Samuel K. Sheppard;Xavier Didelot;Guillaume Meric;Alicia Torralbo

  • Evolutionary History of the Global Emergence of the Escherichia coli Epidemic Clone ST131

    Nicole Stoesser;Anna E. Sheppard;Louise Pankhurst;Nicola De Maio

  • Effects of control interventions on Clostridium difficile infection in England: an observational study

    Kate E Dingle;Kate E Dingle;Kate E Dingle;Xavier Didelot;T Phuong Quan;T Phuong Quan;T Phuong Quan;David W Eyre;David W Eyre

  • Evolutionary dynamics of Staphylococcus aureus during progression from carriage to disease

    Bernadette C. Young;Tanya Golubchik;Elizabeth M. Batty;Rowena Fung

  • Helicobacter pylori genome evolution during human infection

    Lynn Kennemann;Xavier Didelot;Toni Aebischer;Stefanie Kuhn

  • A pilot study of rapid benchtop sequencing of Staphylococcus aureus and Clostridium difficile for outbreak detection and surveillance

    D W Eyre;T Golubchik;N C Gordon;R Bowden

  • Bayesian reconstruction of disease outbreaks by combining epidemiologic and genomic data.

    Thibaut Jombart;Anne Cori;Xavier Didelot;Simon Cauchemez

  • Bayesian inference of ancestral dates on bacterial phylogenetic trees.

    Xavier Didelot;Nicholas J Croucher;Stephen D Bentley;Simon R Harris

  • Genomic Infectious Disease Epidemiology in Partially Sampled and Ongoing Outbreaks

    Xavier Didelot;Christophe Fraser;Christophe Fraser;Jennifer Gardy;Caroline Colijn

  • Maternal high fat diet during pregnancy and lactation alters hepatic expression of insulin like growth factor-2 and key microRNAs in the adult offspring

    Junlong Zhang;Fang Zhang;Xavier Didelot;Kimberley D Bruce

  • Measurably evolving pathogens in the genomic era

    Roman Biek;Roman Biek;Oliver G. Pybus;James O. Lloyd-Smith;James O. Lloyd-Smith;Xavier Didelot

  • A phylogenetic method to perform genome-wide association studies in microbes that accounts for population structure and recombination.

    Caitlin Collins;Xavier Didelot

Frequent Co-Authors

Derrick W. Crook
Derrick W. Crook University of Oxford
Daniel J. Wilson
Daniel J. Wilson University of Oxford
Tim E. A. Peto
Tim E. A. Peto University of Oxford
Daniel Falush
Daniel Falush Chinese Academy of Sciences
Rory Bowden
Rory Bowden Walter and Eliza Hall Institute of Medical Research
David W. Eyre
David W. Eyre University of Oxford
Kate E. Dingle
Kate E. Dingle University of Oxford
Sebastian Suerbaum
Sebastian Suerbaum Ludwig-Maximilians-Universität München
Nicole Stoesser
Nicole Stoesser University of Oxford
Martin C. J. Maiden
Martin C. J. Maiden University of Oxford

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