World's Best Scientists 2026 revealed!
Jukka Corander

Jukka Corander

D-Index & Metrics

Genetics

D-Index
76
Citations
23871
World Ranking
1816
National Ranking
7

Jukka Corander 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 Jukka Corander 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: 276 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Jukka Corander 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 Jukka Corander 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: 76 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Jukka Corander is affiliated with the University of Oslo in Norway and has a substantial research output focused on the fields of Biochemistry, Genetics, and Molecular Biology, as well as Medicine. Their publication record spans over 200 works, reflecting expertise primarily in molecular biology, epidemiology, artificial intelligence, statistics, probability, and genetics.

Their work addresses key topics including:

  • Genomics and Phylogenetic Studies
  • Antibiotic Resistance in Bacteria
  • Antimicrobial Resistance in Staphylococcus
  • Gut microbiota and health
  • Escherichia coli research studies
  • Gaussian Processes and Bayesian Inference
  • Statistical Methods and Bayesian Inference

They have frequently published in several venues, notably:

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

Examples of recent papers include:

  • Producing polished prokaryotic pangenomes with the Panaroo pipeline, 2020, Genome Biology
  • Plasmids Shaped the Recent Emergence of the Major Nosocomial Pathogen Enterococcus faecium, 2020, mBio
  • Improved Prediction of Bacterial Genotype-Phenotype Associations Using Interpretable Pangenome-Spanning Regressions, 2020, mBio
  • Genome evolution and the emergence of pathogenicity in avian Escherichia coli, 2021, Nature Communications
  • A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings, 2022, Nature Microbiology

Jukka Corander collaborates regularly with a group of frequent co-authors, reflecting ongoing partnerships in their research efforts. These frequent collaborators include Gerry Tonkin-Hill, Rebecca A. Gladstone, Anna K. Pöntinen, Ørjan Samuelsen, and Teemu Kallonen.

Best Publications

  • Producing polished prokaryotic pangenomes with the Panaroo pipeline

    Gerry Tonkin-Hill;Gerry Tonkin-Hill;Neil MacAlasdair;Neil MacAlasdair;Christopher Ruis;Christopher Ruis;Aaron Weimann

  • The fecal microbiota of irritable bowel syndrome patients differs significantly from that of healthy subjects.

    Anna Kassinen;Lotta Krogius-Kurikka;Harri Mäkivuokko;Teemu Rinttilä

  • Bayesian analysis of genetic differentiation between populations.

    Jukka Corander;Patrik Waldmann;Mikko J Sillanpää

  • Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations.

    Jukka Corander;Pekka Marttinen;Jukka Sirén;Jing Tang

  • Bayesian identification of admixture events using multilocus molecular markers

    Jukka Corander;Pekka Marttinen

  • Approximate Bayesian computation

    Mikael Sunnåker;Alberto Giovanni Busetto;Elina Numminen;Jukka Corander

  • Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software

    Lu Cheng;Thomas R. Connor;Thomas R. Connor;Jukka Sirén;David M. Aanensen

  • Evolution and transmission of drug-resistant tuberculosis in a Russian population

    Nicola Casali;Vladyslav Nikolayevskyy;Yanina Balabanova;Simon R Harris

  • BAPS 2: enhanced possibilities for the analysis of genetic population structure

    Jukka Corander;Patrik Waldmann;Pekka Marttinen;Mikko J. Sillanpää

  • Bayesian spatial modeling of genetic population structure

    Jukka Corander;Jukka Sirén;Elja Arjas

  • Emergence of Epidemic Multidrug-Resistant Enterococcus faecium from Animal and Commensal Strains

    François Lebreton;François Lebreton;Willem van Schaik;Willem van Schaik;Willem van Schaik;Abigail Manson McGuire Manson McGuire;Paul Godfrey

  • Fast and flexible bacterial genomic epidemiology with PopPUNK.

    John A. Lees;Simon R. Harris;Gerry Tonkin-Hill;Rebecca A. Gladstone

  • CYP2D6 worldwide genetic variation shows high frequency of altered activity variants and no continental structure.

    Johanna Sistonen;Antti Sajantila;Oscar Lao;Jukka Corander

  • Dense genomic sampling identifies highways of pneumococcal recombination

    Claire Chewapreecha;Simon R Harris;Nicholas J Croucher;Claudia Turner;Claudia Turner;Claudia Turner

  • Global Emergence and Dissemination of Enterococci as Nosocomial Pathogens : Attack of the Clones?

    Ana M. Guzman Prieto;Willem van Schaik;Malbert R. C. Rogers;Teresa M. Coque

  • Core Genome Multilocus Sequence Typing Scheme for High-Resolution Typing of Enterococcus faecium

    Mark de Been;Mette Pinholt;Mette Pinholt;Janetta Top;Stefan Bletz

  • Bayesian analysis of population structure based on linked molecular information.

    Jukka Corander;Jing Tang

  • Fundamentals and Recent Developments in Approximate Bayesian Computation

    Jarno Lintusaari;Michael U. Gutmann;Ritabrata Dutta;Samuel Kaski

  • Patterns of genome evolution that have accompanied host adaptation in Salmonella.

    Gemma C. Langridge;Maria Fookes;Thomas R. Connor;Theresa Feltwell

  • Bayesian optimization for likelihood-free inference of simulator-based statistical models

    Michael U. Gutmann;Jukka Corander

Frequent Co-Authors

Stephen D. Bentley
Stephen D. Bentley Wellcome Sanger Institute
Julian Parkhill
Julian Parkhill University of Cambridge
Nicholas J. Croucher
Nicholas J. Croucher Imperial College London
Samuel Kaski
Samuel Kaski Aalto University
William P. Hanage
William P. Hanage Harvard University
Samuel K. Sheppard
Samuel K. Sheppard University of Bath
Simon R. Harris
Simon R. Harris Wellcome Sanger Institute
Alan McNally
Alan McNally University of Birmingham
Nicholas R. Thomson
Nicholas R. Thomson Wellcome Sanger Institute
Thomas R. Connor
Thomas R. Connor Cardiff University

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