World's Best Scientists 2026 revealed!
Johanna Schleutker

Johanna Schleutker

D-Index & Metrics

Genetics

D-Index
64
Citations
19545
World Ranking
2765
National Ranking
20

Johanna Schleutker 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 Johanna Schleutker 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: 277 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.

Johanna Schleutker 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 Johanna Schleutker 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: 64 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Johanna Schleutker is affiliated with Turku University Hospital in Finland and has a research portfolio primarily focused on genetics, molecular biology, and medicine. Their body of work encompasses multiple aspects of cancer research, particularly prostate cancer, as well as genetic associations and epidemiology.

The scientist's publication record includes papers on topics such as genetic risk loci identification, DNA methylation biomarkers, and myeloproliferative neoplasm risk. Recent papers include:

  • Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction, 2021, Nature Genetics
  • An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk, 2020, Nature Communications
  • Inherited myeloproliferative neoplasm risk affects haematopoietic stem cells, 2020, Nature
  • Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants, 2023, Nature Genetics
  • Genetic Risk Factors Associated With Preeclampsia and Hypertensive Disorders of Pregnancy, 2023, JAMA Cardiology

Frequent coauthors in their research include Rosalind A. Eeles, Henrik Grönberg, Kenneth Muir, Jyotsna Batra, and Zsofia Kote-Jarai, each contributing to multiple joint publications.

Johanna Schleutker has published extensively in venues such as UNC Libraries, Nature Communications, Scientific Reports, Cancer Research, and bioRxiv (Cold Spring Harbor Laboratory). These venues suggest a focus on both open-access and high-impact academic outlets.

The main fields of study covered by the scientist are Biochemistry, Genetics and Molecular Biology, and Medicine. Within these broader areas, subfields include Genetics, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, and Neurology. Their research topics closely align with:

  • Genetic Associations and Epidemiology
  • Prostate Cancer Treatment and Research
  • Prostate Cancer Diagnosis and Treatment
  • Cancer-related molecular mechanisms research
  • Cerebrovascular and genetic disorders
  • BRCA gene mutations in cancer
  • Molecular Biology Techniques and Applications

This range indicates a multidisciplinary approach to understanding cancer and genetic disorders with a strong focus on prostate cancer and molecular genetics. The scientist's collaborations and publication record reflect involvement in large-scale genetic studies and integrative analyses related to cancer biomarkers and disease risk prediction.

Best Publications

  • REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants

    Nilah M M. Ioannidis;Joseph H H. Rothstein;Joseph H H. Rothstein;Vikas Pejaver;Sumit Middha

  • RAD51B in Familial Breast Cancer

    Liisa M. Pelttari;Sofia Khan;Mikko Vuorela;Johanna I. Kiiski

  • Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

    Fredrick R. Schumacher;Ali Amin Al Olama;Sonja I. Berndt;Sara Benlloch

  • Germline mutations in the ribonuclease L gene in families showing linkage with HPC1.

    J. Carpten;N. Nupponen;S. Isaacs;R. Sood

  • Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array

    Rosalind A. Eeles;Ali Amin Al Olama;Sara Benlloch;Edward J. Saunders

  • Evidence for a prostate cancer susceptibility locus on the X chromosome.

    Jianfeng Xu;Deborah Meyers;Diha Freije;Sarah Isaacs

  • A recurrent mutation in PALB2 in Finnish cancer families

    Hannele Erkko;Bing Xia;Jenni Nikkilä;Johanna Schleutker

  • A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

    Ali Amin Al Olama;Zsofia Kote-Jarai;Sonja I. Berndt;David V. Conti

  • Identification of seven new prostate cancer susceptibility loci through a genome-wide association study

    Rosalind A. Eeles;Zsofia Kote-Jarai;Ali Amin Al Olama;Graham G. Giles;Graham G. Giles

  • Genome-wide association and replication studies identify four variants associated with prostate cancer susceptibility

    Julius Gudmundsson;Patrick Sulem;Daniel F Gudbjartsson;Thorarinn Blondal

  • Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

    David V. Conti;Burcu F. Darst;Lilit C. Moss;Edward J. Saunders

  • Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

    Z Kote-Jarai;Olama Aaa.;G G Giles;G G Giles;G Severi;G Severi

  • Germline alterations of the RNASEL gene, a candidate HPC1 gene at 1q25, in patients and families with prostate cancer.

    Annika Rökman;Tarja Ikonen;Eija H. Seppälä;Nina Nupponen

  • An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk.

    Lang Wu;Yaohua Yang;Xingyi Guo;Xiao Ou Shu

  • Nonsense-mediated decay microarray analysis identifies mutations of EPHB2 in human prostate cancer.

    Pia Huusko;Damaris Ponciano-Jackson;Maija Wolf;Jeff A. Kiefer

  • HOXB13 is a susceptibility gene for prostate cancer: results from the International Consortium for Prostate Cancer Genetics (ICPCG)

    Jianfeng Xu;Ethan M. Lange;Ethan M. Lange;Lingyi Lu;Siqun L. Zheng

  • Exome sequencing identifies FANCM as a susceptibility gene for triple-negative breast cancer.

    Johanna I. Kiiski;Liisa M. Pelttari;Sofia Khan;Edda S. Freysteinsdottir

  • Association analyses identify 31 new risk loci for colorectal cancer susceptibility

    P J Law;M Timofeeva;C Fernandez-Rozadilla;P Broderick

  • Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types.

    Siddhartha P. Kar;Jonathan Beesley;Ali Amin Al Olama;Kyriaki Michailidou

  • Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

    Zsofia Kote-Jarai;Ali Amin Al Olama;Graham G. Giles;Gianluca Severi

Frequent Co-Authors

Teuvo L.J. Tammela
Teuvo L.J. Tammela Tampere University
Graham G. Giles
Graham G. Giles University of Melbourne
Lisa A. Cannon-Albright
Lisa A. Cannon-Albright University of Utah
Janet L. Stanford
Janet L. Stanford Fred Hutchinson Cancer Research Center
David E. Neal
David E. Neal University of Cambridge
Rosalind A. Eeles
Rosalind A. Eeles Institute of Cancer Research
Kenneth W. Muir
Kenneth W. Muir University of Manchester
Henrik Grönberg
Henrik Grönberg Karolinska Institute
Fredrik Wiklund
Fredrik Wiklund Karolinska Institute
Jyotsna Batra
Jyotsna Batra Queensland University of Technology

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