World's Best Scientists 2026 revealed!
Montserrat Garcia-Closas

Montserrat Garcia-Closas

Award Badge
Best Female Scientists
2025

D-Index & Metrics

Best Female Scientists

D-Index
122
Citations
62389
World Ranking
495
National Ranking
290

Medicine

D-Index
126
Citations
67192
World Ranking
2925
National Ranking
1622

Montserrat Garcia-Closas publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Montserrat Garcia-Closas sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 637 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Montserrat Garcia-Closas D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Montserrat Garcia-Closas sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 126 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Best Female Scientists Award

Overview

Montserrat Garcia-Closas is affiliated with the National Institutes of Health in the United States. Their research spans multiple fields primarily focusing on biochemistry, genetics, molecular biology, and medicine. Within these broad areas, their work emphasizes genetics, oncology, molecular biology, cancer research, and pathology and forensic medicine.

The scientist's publications cover a range of topics in cancer genetics and risk factors. Main topics of their work include:

  • BRCA gene mutations in cancer
  • Genetic associations and epidemiology
  • Cancer genomics and diagnostics
  • Global cancer incidence and screening
  • Cancer risks and factors
  • Breast cancer treatment studies
  • Nutrition, genetics, and disease

Frequent co-authors collaborating with Montserrat Garcia-Closas have included:

  • Thomas U. Ahearn
  • Manjeet K. Bolla
  • Jonine D. Figueroa
  • Stephen J. Chanock
  • Joe Dennis

Key recent publications of Montserrat Garcia-Closas illustrate the focus and impact of their work. Selected papers include:

  • "Cancer therapy shapes the fitness landscape of clonal hematopoiesis" (2020) published in Nature Genetics
  • "Genetic insights into biological mechanisms governing human ovarian ageing" (2021) published in Nature
  • "Personalized early detection and prevention of breast cancer: ENVISION consensus statement" (2020) published in Nature Reviews Clinical Oncology
  • "Genomic and evolutionary classification of lung cancer in never smokers" (2021) published in Nature Genetics
  • "Pathology of Tumors Associated With Pathogenic Germline Variants in 9 Breast Cancer Susceptibility Genes" (2022) published in JAMA Oncology

The scientist's research is frequently published in venues such as:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Research Square (Research Square)
  • JNCI Journal of the National Cancer Institute

Best Publications

  • Genome-wide association study identifies novel breast cancer susceptibility loci

    Douglas F. Easton;Karen A. Pooley;Alison M. Dunning;Paul D. P. Pharoah

  • Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies

    Sholom Wacholder;Stephen Chanock;Montserrat Garcia-Closas;Laure El ghormli

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • 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

  • Type I and II Endometrial Cancers: Have They Different Risk Factors?

    Veronica Wendy Setiawan;Hannah P. Yang;Malcolm C. Pike;Malcolm C. Pike;Susan E. McCann;Susan E. McCann

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

    Leila Dorling;Sara Carvalho;Jamie Allen

  • Etiology of Hormone Receptor–Defined Breast Cancer: A Systematic Review of the Literature

    Michelle D. Althuis;Jennifer H. Fergenbaum;Montserrat Garcia-Closas;Louise A. Brinton

  • NAT2 slow acetylation, GSTM1 null genotype, and risk of bladder cancer: results from the Spanish Bladder Cancer Study and meta-analyses.

    Montserrat García-Closas;Núria Malats;Debra Silverman;Mustafa Dosemeci

  • Association Between BRCA1 and BRCA2 Mutations and Survival in Women with Invasive Epithelial Ovarian Cancer

    Kelly L. Bolton;Kelly L. Bolton;Georgia Chenevix-Trench;Cindy Goh;Siegal Sadetzki

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

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

  • Developing and evaluating polygenic risk prediction models for stratified disease prevention

    Nilanjan Chatterjee;Jianxin Shi;Montserrat García-Closas

  • 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

  • Detectable clonal mosaicism and its relationship to aging and cancer

    Kevin B. Jacobs;Kevin B. Jacobs;Meredith Yeager;Meredith Yeager;Weiyin Zhou;Weiyin Zhou;Sholom Wacholder

  • A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1).

    Gilles Thomas;Kevin B Jacobs;Kevin B Jacobs;Peter Kraft;Meredith Yeager;Meredith Yeager

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

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

Frequent Co-Authors

Graham G. Giles
Graham G. Giles University of Melbourne
Roger L. Milne
Roger L. Milne Cancer Council Victoria
Jenny Chang-Claude
Jenny Chang-Claude German Cancer Research Center
Paul D.P. Pharoah
Paul D.P. Pharoah University of Cambridge
Jolanta Lissowska
Jolanta Lissowska Maria Sklodowska-Curie National Research Institute of Oncology
Hiltrud Brauch
Hiltrud Brauch German Cancer Research Center
Stephen J. Chanock
Stephen J. Chanock National Institutes of Health
Douglas F. Easton
Douglas F. Easton University of Cambridge
Melissa C. Southey
Melissa C. Southey Monash University
Irene L. Andrulis
Irene L. Andrulis University of Toronto

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