D-Index & Metrics Best Publications
Research.com 2022 Best Female Scientist Award Badge

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Medicine D-index 96 Citations 37,466 333 World Ranking 4439 National Ranking 2510
Best female scientists D-index 105 Citations 43,973 469 World Ranking 705 National Ranking 438

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist Award

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Cancer
  • Internal medicine

Montserrat Garcia-Closas focuses on Internal medicine, Breast cancer, Oncology, Genome-wide association study and Genetics. The Internal medicine study which covers Endocrinology that intersects with Urinary bladder. As a part of the same scientific study, she usually deals with the Breast cancer, concentrating on Genetic predisposition and frequently concerns with Gene mutation.

Her biological study spans a wide range of topics, including Prospective cohort study, Serous fluid, Pathology, Prostate cancer and Family history. Her Genome-wide association study study results in a more complete grasp of Single-nucleotide polymorphism. Her Genetics research focuses on subjects like Cancer research, which are linked to Enhancer RNAs, Chromatin immunoprecipitation, Transcription factor, Enhancer and Regulation of gene expression.

Her most cited work include:

  • Genome-wide association study identifies novel breast cancer susceptibility loci (2077 citations)
  • Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies (1461 citations)
  • 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 (836 citations)

What are the main themes of her work throughout her whole career to date?

Her primary areas of study are Breast cancer, Internal medicine, Oncology, Single-nucleotide polymorphism and Genome-wide association study. Her Breast cancer study incorporates themes from Tissue microarray, Genetic predisposition, Bioinformatics and Risk factor. Her work on Internal medicine is being expanded to include thematically relevant topics such as Endocrinology.

Her Oncology study integrates concerns from other disciplines, such as Immunology, Pathology, Ovarian cancer, Gynecology and Endometrial cancer. Her Single-nucleotide polymorphism research incorporates elements of Allele and Haplotype. Her Genome-wide association study study is focused on Genetics in general.

She most often published in these fields:

  • Breast cancer (62.07%)
  • Internal medicine (57.40%)
  • Oncology (45.84%)

What were the highlights of her more recent work (between 2017-2021)?

  • Breast cancer (62.07%)
  • Internal medicine (57.40%)
  • Oncology (45.84%)

In recent papers she was focusing on the following fields of study:

Montserrat Garcia-Closas mostly deals with Breast cancer, Internal medicine, Oncology, Cancer and Odds ratio. The study incorporates disciplines such as Polygenic risk score, Genome-wide association study and Case-control study in addition to Breast cancer. Her work in the fields of Confidence interval, Hazard ratio and Breast disease overlaps with other areas such as In patient.

Her Oncology research is multidisciplinary, incorporating elements of Body mass index, Germline, Proportional hazards model, Prospective cohort study and Single-nucleotide polymorphism. Her Cancer research integrates issues from Myeloid, Cancer research, CHEK2, Whole genome sequencing and Lung cancer. Her Odds ratio research also works with subjects such as

  • Risk factor and related Family history,
  • Exome most often made with reference to Relative risk.

Between 2017 and 2021, her most popular works were:

  • Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes (335 citations)
  • BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors. (174 citations)
  • A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer (101 citations)

In her most recent research, the most cited papers focused on:

  • Gene
  • Cancer
  • Internal medicine

Her primary areas of investigation include Breast cancer, Internal medicine, Oncology, Genome-wide association study and Odds ratio. Montserrat Garcia-Closas combines subjects such as Case-control study, Family history, Disease and Risk factor with her study of Breast cancer. Montserrat Garcia-Closas interconnects Germline mutation, Cohort study, Colorectal cancer, Single-nucleotide polymorphism and Prostate cancer in the investigation of issues within Oncology.

Montserrat Garcia-Closas has begun a study into Genome-wide association study, looking into Genetics and Genotype. The Genotype study combines topics in areas such as Endometrial cancer and Locus. Her studies deal with areas such as Genetic heterogeneity, Linkage disequilibrium, Genetic predisposition and Genetic testing as well as Estrogen receptor.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

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.
Nature (2007)

2560 Citations

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.
Journal of the National Cancer Institute (2004)

1678 Citations

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.
PLOS Medicine (2010)

1231 Citations

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.
Journal of the National Cancer Institute (2011)

781 Citations

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.
The Lancet (2005)

694 Citations

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.
Cancer Epidemiology, Biomarkers & Prevention (2004)

692 Citations

Association analysis identifies 65 new breast cancer risk loci

Kyriaki Michailidou;Kyriaki Michailidou;Sara Lindström;Sara Lindström;Joe Dennis;Jonathan Beesley.
Nature (2017)

691 Citations

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

Angela Cox;Alison M. Dunning;Montserrat Garcia-Closas;Sabapathy Balasubramanian.
Nature Genetics (2007)

652 Citations

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.
Nature Genetics (2009)

612 Citations

RAD51B in Familial Breast Cancer

Liisa M. Pelttari;Sofia Khan;Mikko Vuorela;Johanna I. Kiiski.
PLOS ONE (2016)

608 Citations

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