World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
86
Citations
34048
World Ranking
1243
National Ranking
47

Marjanka K. Schmidt 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 Marjanka K. Schmidt 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: 321 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Marjanka K. Schmidt 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 Marjanka K. Schmidt 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: 86 D-Index — 72nd percentile

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

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

Overview

Marjanka K. Schmidt is affiliated with the Antoni van Leeuwenhoek Hospital in the Netherlands and has contributed extensively to research in genetics, oncology, and cancer biology. Their work spans primarily the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with significant focus on Genetics, Oncology, Cancer Research, Molecular Biology, and Pathology and Forensic Medicine.

The scientist's publications frequently address topics such as BRCA gene mutations in cancer, breast cancer treatment studies, global cancer incidence and screening, cancer genomics and diagnostics, cancer risks and factors, genetic associations and epidemiology, and nutrition, genetics, and disease.

  • BRCA gene mutations in cancer
  • Breast Cancer Treatment Studies
  • Global Cancer Incidence and Screening
  • Cancer Genomics and Diagnostics
  • Cancer Risks and Factors
  • Genetic Associations and Epidemiology
  • Nutrition, Genetics, and Disease

Their recent papers reflect a focus on breast cancer detection, germline variant pathology, the effects of the COVID-19 pandemic on cancer diagnosis and treatment, clinical prediction models, and polygenic risk assessment across multiple cancers.

  • Personalized early detection and prevention of breast cancer: ENVISION consensus statement, 2020, Nature Reviews Clinical Oncology
  • Pathology of Tumors Associated With Pathogenic Germline Variants in 9 Breast Cancer Susceptibility Genes, 2022, JAMA Oncology
  • Impact of the COVID-19 pandemic on diagnosis, stage, and initial treatment of breast cancer in the Netherlands: a population-based study, 2021, Journal of Hematology & Oncology
  • Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review, 2022, BMC Medical Research Methodology
  • Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers, 2020, Nature Communications

Marjanka K. Schmidt has collaborated frequently with several researchers, including Douglas F. Easton, Montserrat García-Closas, Jenny Chang-Claude, Paul D.P. Pharoah, and Manjeet K. Bolla. These collaborations indicate an active engagement within a network of researchers specializing in cancer genetics and epidemiology.

The scientist's work is regularly published in venues such as The Breast, bioRxiv (Cold Spring Harbor Laboratory), Cancer Research, European Journal of Cancer, and npj Breast Cancer, showing a consistent presence in journals focused on oncology and cancer research.

  • The Breast
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • European Journal of Cancer
  • npj Breast Cancer

Best Publications

  • Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies

    Fiona M. Blows;Kristy E. Driver;Marjanka K. Schmidt;Annegien Broeks

  • Association analysis identifies 65 new breast cancer risk loci

    Kyriaki Michailidou;Kyriaki Michailidou;Sara Lindström;Sara Lindström;Joe Dennis;Jonathan Beesley

  • Large-scale genotyping identifies 41 new loci associated with breast cancer risk

    Kyriaki Michailidou;Per Hall;Anna Gonzalez-Neira;Maya Ghoussaini

  • RAD51B in Familial Breast Cancer

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

  • Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

    Nasim Mavaddat;Kyriaki Michailidou;Kyriaki Michailidou;Joe Dennis;Michael Lush

  • Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies

    Xiaohong R. Yang;Jenny Chang-Claude;Ellen L. Goode;Fergus J. Couch

  • Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women

    Leila Dorling;Sara Carvalho;Jamie Allen

  • A common coding variant in CASP8 is associated with breast cancer risk

    Angela Cox;Alison M. Dunning;Montserrat Garcia-Closas;Sabapathy Balasubramanian

  • Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

    John R.B. Perry;Felix Day;Cathy E. Elks;Patrick Sulem

  • Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    Kyriaki Michailidou;Jonathan Beesley;Sara Lindstrom;Sander Canisius

  • Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer

    Stig E. Bojesen;Stig E. Bojesen;Karen A. Pooley;Sharon E. Johnatty;Jonathan Beesley

  • Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants

    Nasim Mavaddat;Paul D.P. Pharoah;Kyriaki Michailidou;Jonathan Tyrer

  • Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

    Felix R. Day;Deborah J. Thompson;Hannes Helgason;Hannes Helgason;Daniel I. Chasman

  • MicroRNA related polymorphisms and breast cancer risk

    Sofia Khan;Dario Greco;Dario Greco;Kyriaki Michailidou;Roger L. Milne;Roger L. Milne

  • BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.

    Andrew Lee;Nasim Mavaddat;Amber N Wilcox;Alex P Cunningham

  • Newly discovered breast cancer susceptibility loci on 3p24 and 17q23.2.

    Shahana Ahmed;Gilles Thomas;Maya Ghoussaini;Catherine S. Healey

  • Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

    Felix R. Day;Katherine S. Ruth;Deborah J Thompson;Kathryn L. Lunetta

  • Genome-wide association studies identify four ER negative-specific breast cancer risk loci

    Montserrat Garcia-Closas;Fergus J. Couch;Sara Lindstrom;Kyriaki Michailidou

  • Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.

    Roger L Milne;Roger L Milne;Karoline B Kuchenbaecker;Karoline B Kuchenbaecker;Kyriaki Michailidou;Kyriaki Michailidou;Jonathan Beesley

  • Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

    Day Fr;Thompson Dj;elgason H;Chasman Di

Frequent Co-Authors

Graham G. Giles
Graham G. Giles University of Melbourne
Roger L. Milne
Roger L. Milne Cancer Council Victoria
Hiltrud Brauch
Hiltrud Brauch German Cancer Research Center
Peter A. Fasching
Peter A. Fasching University of Erlangen-Nuremberg
Jenny Chang-Claude
Jenny Chang-Claude German Cancer Research Center
Melissa C. Southey
Melissa C. Southey Monash University
Douglas F. Easton
Douglas F. Easton University of Cambridge
Stig E. Bojesen
Stig E. Bojesen University of Copenhagen
Irene L. Andrulis
Irene L. Andrulis University of Toronto
Paul D.P. Pharoah
Paul D.P. Pharoah University of Cambridge

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Each pathway can be a valuable complement to a Genetics background, opening doors to varied roles in healthcare, research, and administration.

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