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
Best Scientists D-index 157 Citations 104,962 1,362 World Ranking 937 National Ranking 26
Medicine D-index 159 Citations 106,288 1,335 World Ranking 429 National Ranking 10

Research.com Recognitions

Awards & Achievements

2023 - Research.com Medicine in Australia Leader Award

2022 - Research.com Best Scientist Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Cancer
  • Gene

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.

His most cited work include:

  • 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 (2742 citations)
  • Genome-wide association study identifies novel breast cancer susceptibility loci (2045 citations)
  • Genetic determinants of bone mass in adults. A twin study. (1135 citations)

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

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.

He most often published in these fields:

  • Internal medicine (47.58%)
  • Breast cancer (41.54%)
  • Oncology (35.84%)

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

  • Internal medicine (47.58%)
  • Breast cancer (41.54%)
  • Oncology (35.84%)

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

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.

Between 2017 and 2021, his most popular works were:

  • Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes (257 citations)
  • Childhood predictors of lung function trajectories and future COPD risk: a prospective cohort study from the first to the sixth decade of life (153 citations)
  • Discovery of common and rare genetic risk variants for colorectal cancer (131 citations)

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

  • Internal medicine
  • Cancer
  • Gene

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.

Best Publications

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)

4309 Citations

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

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)

1731 Citations

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)

1628 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

A Prospective Population-Based Study of Menopausal Symptoms

Lorraine Dennerstein;Emma C Dudley;John L Hopper;Janet R Guthrie.
Obstetrics & Gynecology (2000)

1088 Citations

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)

1086 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

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