D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 78 Citations 22,125 248 World Ranking 12859 National Ranking 451

Overview

What is she best known for?

The fields of study she is best known for:

  • Cancer
  • Internal medicine
  • Gene

Laura Baglietto mainly focuses on Breast cancer, Internal medicine, Oncology, Genome-wide association study and Cancer. Her Breast cancer study combines topics from a wide range of disciplines, such as Odds ratio, Body mass index, Case-control study and Genetic predisposition. Her research integrates issues of Endocrinology, Surgery and Pathology in her study of Internal medicine.

Her Oncology research incorporates elements of Bioinformatics, Prostate cancer, Hazard ratio, Triple-negative breast cancer and Estrogen. Her study focuses on the intersection of Genome-wide association study and fields such as TOX3 with connections in the field of TCF7L2, Triple Negative Breast Neoplasms and MAP3K1. Laura Baglietto combines subjects such as Germline mutation and Gene mutation with her study of Cancer.

Her most cited work include:

  • Large-scale genotyping identifies 41 new loci associated with breast cancer risk (834 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 (782 citations)
  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores (575 citations)

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

Internal medicine, Breast cancer, Oncology, Prospective cohort study and Case-control study are her primary areas of study. In Internal medicine, Laura Baglietto works on issues like Endocrinology, which are connected to Physiology. Her studies deal with areas such as Genome-wide association study, Single-nucleotide polymorphism and Gynecology as well as Breast cancer.

The Genome-wide association study study combines topics in areas such as Genotyping, Allele and Genetic association. Her Oncology study combines topics in areas such as Methylation, Genetic predisposition, Bioinformatics, Pathology and Ovarian cancer. Laura Baglietto works mostly in the field of Prospective cohort study, limiting it down to topics relating to Body mass index and, in certain cases, Mammography.

She most often published in these fields:

  • Internal medicine (93.15%)
  • Breast cancer (92.86%)
  • Oncology (71.73%)

What were the highlights of her more recent work (between 2016-2021)?

  • Internal medicine (93.15%)
  • Breast cancer (92.86%)
  • Cohort study (32.74%)

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

Her primary areas of investigation include Internal medicine, Breast cancer, Cohort study, Oncology and Prospective cohort study. Her research in Internal medicine is mostly concerned with Case-control study. Her Breast cancer study is associated with Cancer.

Her research in Cohort study intersects with topics in Gerontology, Cohort, Disease, Hazard ratio and Confounding. Within one scientific family, Laura Baglietto focuses on topics pertaining to CpG site under Oncology, and may sometimes address concerns connected to Lung cancer, Prostate, Nested case-control study and Prostate cancer. Her Prospective cohort study course of study focuses on Obesity and Cause of death.

Between 2016 and 2021, her most popular works were:

  • Association of Body Mass Index and Age With Subsequent Breast Cancer Risk in Premenopausal Women. (106 citations)
  • A metabolomic study of biomarkers of meat and fish intake. (95 citations)
  • A metabolomic study of biomarkers of meat and fish intake. (95 citations)

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

  • Cancer
  • Internal medicine
  • Gene

Laura Baglietto mostly deals with Prospective cohort study, Cohort study, Cancer, Breast cancer and Internal medicine. Her Prospective cohort study research is multidisciplinary, relying on both Red meat, Food science and Obesity. Her Cohort study research is multidisciplinary, incorporating elements of Body mass index, Proportional hazards model, Cohort and Hazard ratio.

Her work carried out in the field of Breast cancer brings together such families of science as Young adult, Genome-wide association study and Obstetrics. Her Internal medicine research is multidisciplinary, incorporating perspectives in Immunology and Oncology. Her study in Oncology is interdisciplinary in nature, drawing from both Epidemiology of cancer, Methylation, Epigenetics and Quartile.

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

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)

1348 Citations

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

Kyriaki Michailidou;Per Hall;Anna Gonzalez-Neira;Maya Ghoussaini.
Nature Genetics (2013)

1179 Citations

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)

960 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)

855 Citations

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.
Nature Genetics (2013)

604 Citations

The clinical phenotype of Lynch syndrome due to germ-line PMS2 mutations

Leigha Senter;Mark Clendenning;Kaisa Sotamaa;Heather Hampel.
Gastroenterology (2008)

595 Citations

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

Shahana Ahmed;Gilles Thomas;Maya Ghoussaini;Catherine S. Healey.
Nature Genetics (2009)

553 Citations

Heterogeneity of Breast Cancer Associations with Five Susceptibility Loci by Clinical and Pathological Characteristics

Montserrat Garcia-Closas;Per Hall;Heli Nevanlinna;Karen Pooley.
PLOS Genetics (2008)

454 Citations

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

Montserrat Garcia-Closas;Fergus J. Couch;Sara Lindstrom;Kyriaki Michailidou.
Nature Genetics (2013)

444 Citations

Circulating sex hormones and breast cancer risk factors in postmenopausal women: Reanalysis of 13 studies

T J Key;P N Appleby;G K Reeves;A W Roddam;A W Roddam.
British Journal of Cancer (2011)

406 Citations

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