2023 - Research.com Medicine in Australia Leader Award
2022 - Research.com Best Scientist Award
Internal medicine, Breast cancer, Genetics, Cancer and Oncology are his primary areas of study. His Internal medicine study often links to related topics such as Endocrinology. The study incorporates disciplines such as Gynecology, Genetic predisposition, Family history and Risk factor in addition to Breast cancer.
John L. Hopper frequently studies issues relating to Gene mutation and Cancer. His work carried out in the field of Oncology brings together such families of science as Penetrance, Ovarian cancer and Hazard ratio. His research integrates issues of SNP, Genetic association, Locus and Bioinformatics in his study of Genome-wide association study.
John L. Hopper spends much of his time researching Internal medicine, Breast cancer, Oncology, Cancer and Genetics. Many of his studies on Internal medicine apply to Endocrinology as well. His research in Breast cancer intersects with topics in Gynecology, Single-nucleotide polymorphism, Genotype, Family history and Risk factor.
His studies in Oncology integrate themes in fields like Body mass index, Germline mutation, Lynch syndrome, Hazard ratio and Prostate cancer. The various areas that John L. Hopper examines in his Odds ratio study include Logistic regression and Confidence interval. His Genome-wide association study research is multidisciplinary, relying on both Genetic predisposition, Genetic association, Locus and Bioinformatics.
The scientist’s investigation covers issues in Internal medicine, Breast cancer, Oncology, Colorectal cancer and Demography. Cancer, Cohort study, Hazard ratio, Odds ratio and Lynch syndrome are the primary areas of interest in his Internal medicine study. His studies deal with areas such as Body mass index, Confidence interval, Prospective cohort study, Family history and Risk assessment as well as Breast cancer.
His Oncology research includes themes of Germline mutation, Genome-wide association study, Single-nucleotide polymorphism, Methylation and DNA methylation. The Genome-wide association study study combines topics in areas such as Genetic association and Medical genetics. His Colorectal cancer research focuses on Mendelian randomization and how it connects with Mendelian Randomization Analysis.
John L. Hopper mainly investigates Breast cancer, Internal medicine, Oncology, Demography and Cohort study. The concepts of his Breast cancer study are interwoven with issues in Odds ratio, Genome-wide association study, Prospective cohort study, Family history and Risk assessment. John L. Hopper has included themes like Genetic association and Medical genetics in his Genome-wide association study study.
His work deals with themes such as Penetrance and Germline mutation, which intersect with Internal medicine. His Oncology research integrates issues from Cancer, Ovarian cancer, Endometrial cancer, Prostate cancer and Genetic predisposition. His Demography study incorporates themes from Body mass index, Twin study, Obesity and Mendelian randomization.
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.
Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case series unselected for family history: a combined analysis of 22 studies
A. Antoniou;P.D.P. Pharoah;S. Narod;H.A. Risch.
American Journal of Human Genetics (2003)
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)
Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers
Karoline B. Kuchenbaecker;Karoline B. Kuchenbaecker;John L. Hopper;Daniel R. Barnes;Kelly-Anne Phillips.
JAMA (2017)
Genetic determinants of bone mass in adults. A twin study.
N A Pocock;J A Eisman;J L Hopper;M G Yeates.
Journal of Clinical Investigation (1987)
Large-scale genotyping identifies 41 new loci associated with breast cancer risk
Kyriaki Michailidou;Per Hall;Anna Gonzalez-Neira;Maya Ghoussaini.
Nature Genetics (2013)
A Prospective Population-Based Study of Menopausal Symptoms
Lorraine Dennerstein;Emma C Dudley;John L Hopper;Janet R Guthrie.
Obstetrics & Gynecology (2000)
Alcohol, tobacco and breast cancer - Collaborative reanalysis of individual data from 53 epidemiological studies, including 58 515 women with breast cancer and 95 067 women without the disease
N Hamajima;K Hirose;K Tajima;T Rohan.
British Journal of Cancer (2002)
RAD51B in Familial Breast Cancer
Liisa M. Pelttari;Sofia Khan;Mikko Vuorela;Johanna I. Kiiski.
PLOS ONE (2016)
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)
Association analysis identifies 65 new breast cancer risk loci
Kyriaki Michailidou;Kyriaki Michailidou;Sara Lindström;Sara Lindström;Joe Dennis;Jonathan Beesley.
Nature (2017)
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