D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge
Medicine
Australia
2023

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 154 Citations 98,930 1,335 World Ranking 525 National Ranking 15

Research.com Recognitions

Awards & Achievements

2023 - Research.com Medicine in Australia Leader Award

2022 - Research.com Best Scientist Award

2022 - Research.com Medicine in Australia Leader Award

Overview

What is he best known for?

The fields of study Graham G. Giles is best known for:

  • Cancer
  • Gene
  • Diabetes mellitus

Internal medicine and Odds ratio are frequently intertwined in his study. His research combines Internal medicine and Odds ratio. He conducts interdisciplinary study in the fields of Prospective cohort study and Diabetes mellitus through his research. He performs multidisciplinary studies into Diabetes mellitus and Prospective cohort study in his work. Borrowing concepts from Cause of death, Graham G. Giles weaves in ideas under Disease. In his works, Graham G. Giles conducts interdisciplinary research on Cause of death and Disease. In his study, Graham G. Giles carries out multidisciplinary Cohort and Cohort study research. Graham G. Giles connects Cohort study with Cohort in his study. He performs integrative study on Hazard ratio and Confidence interval in his works.

His most cited work include:

  • Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses (180 citations)
  • Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies (120 citations)
  • Blood n-3 fatty acid levels and total and cause-specific mortality from 17 prospective studies (90 citations)

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

His research is interdisciplinary, bridging the disciplines of Disease and Internal medicine. His study connects Internal medicine and Disease. In his research, Graham G. Giles undertakes multidisciplinary study on Confidence interval and Odds ratio. In his articles, Graham G. Giles combines various disciplines, including Odds ratio and Confidence interval. His Pathology study typically links adjacent topics like Body mass index. He integrates Body mass index with Obesity in his study. As part of his studies on Obesity, Graham G. Giles often connects relevant subjects like Pathology. Graham G. Giles combines Cancer and Oncology in his studies. In his articles, Graham G. Giles combines various disciplines, including Oncology and Cancer.

Graham G. Giles most often published in these fields:

  • Internal medicine (94.44%)
  • Confidence interval (44.44%)
  • Pathology (38.89%)

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)

2713 Citations

Body-Mass Index and Mortality among 1.46 Million White Adults

Amy Berrington De Gonzalez;Patricia Hartge;James R. Cerhan;Alan J. Flint.
The New England Journal of Medicine (2010)

2621 Citations

Cancer risk in 680 000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians

John D Mathews;Anna V Forsythe;Zoe Brady;Martin W Butler.
BMJ (2013)

1911 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)

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

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.
American Journal of Human Genetics (2016)

1050 Citations

RAD51B in Familial Breast Cancer

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

1014 Citations

Multiple newly identified loci associated with prostate cancer susceptibility.

Rosalind A Eeles;Rosalind A Eeles;Zsofia Kote-Jarai;Graham G Giles;Graham G Giles;Ali Amin Al Olama.
Nature Genetics (2008)

973 Citations

Association analysis identifies 65 new breast cancer risk loci

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

969 Citations

Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk

Ganna Chornokur;Hui-Yi Lin;Jonathan P. Tyrer;Kate Lawrenson.
PLOS ONE (2015)

891 Citations

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