World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
124
Citations
84383
World Ranking
3153
National Ranking
87

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • Internal medicine

His primary areas of study are Genome-wide association study, Genetics, Internal medicine, Breast cancer and Genetic association. His Genome-wide association study research is multidisciplinary, relying on both Case-control study, Genetic variation, Disease and Medical genetics. His Genetics study frequently links to adjacent areas such as Schizophrenia.

His work is dedicated to discovering how Internal medicine, Oncology are connected with Ovarian cancer, Estrogen receptor and Endometrial cancer and other disciplines. The study incorporates disciplines such as Germline mutation, Genetic predisposition, Pathology, Family history and Risk assessment in addition to Breast cancer. His research in Genetic association intersects with topics in Bioinformatics, Linkage disequilibrium, Expression quantitative trait loci, Allele and Heritability.

His most cited work include:

  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
  • Genetic Heterogeneity and Penetrance Analysis of the BRCA1 and BRCA2 Genes in Breast Cancer Families (2565 citations)
  • Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis (1970 citations)

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

Rodney J. Scott mainly investigates Genetics, Internal medicine, Oncology, Genome-wide association study and Gene. His Genetics study which covers Disease that intersects with Bioinformatics. In Internal medicine, Rodney J. Scott works on issues like Genotype, which are connected to Allele.

His studies deal with areas such as Odds ratio, Case-control study, Pathology and Ovarian cancer as well as Oncology. His Genome-wide association study research incorporates elements of Genetic association and Genetic predisposition. His Breast cancer research integrates issues from Cancer research and Family history.

He most often published in these fields:

  • Genetics (44.30%)
  • Internal medicine (37.83%)
  • Oncology (27.74%)

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

  • Internal medicine (37.83%)
  • Genome-wide association study (21.05%)
  • Oncology (27.74%)

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

His scientific interests lie mostly in Internal medicine, Genome-wide association study, Oncology, Genetics and Gene. His Internal medicine research incorporates themes from Gastroenterology and Single-nucleotide polymorphism. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Bipolar disorder, Expression quantitative trait loci, Disease, Genetic association and Endometrial cancer.

His studies in Genetic association integrate themes in fields like Bioinformatics, Transcriptome, Linkage disequilibrium, Medical genetics and Computational biology. His research integrates issues of Breast cancer, Prostate cancer and Germline mutation in his study of Oncology. He has included themes like Odds ratio, Cancer research, Case-control study and Allele frequency in his Breast cancer study.

Between 2017 and 2021, his most popular works were:

  • Analysis of shared heritability in common disorders of the brain (726 citations)
  • Analysis of shared heritability in common disorders of the brain (726 citations)
  • Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes (328 citations)

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

  • Gene
  • Cancer
  • Internal medicine

Rodney J. Scott spends much of his time researching Genome-wide association study, Internal medicine, Genetics, Gene and Breast cancer. His Genome-wide association study study combines topics in areas such as Bipolar disorder, Medical genetics, Disease, Genetic association and Genetic architecture. His work carried out in the field of Genetic association brings together such families of science as Linkage disequilibrium, Bioinformatics and Heritability.

His Internal medicine research is multidisciplinary, incorporating perspectives in Gastroenterology and Oncology. His work deals with themes such as Meta-analysis, Cognition and Age of onset, which intersect with Genetics. He combines subjects such as Expression quantitative trait loci, Proportional hazards model, Allele frequency and Hazard ratio with his study of Breast cancer.

Best Publications

  • Biological insights from 108 schizophrenia-associated genetic loci

    Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters

  • Genetic Heterogeneity and Penetrance Analysis of the BRCA1 and BRCA2 Genes in Breast Cancer Families

    D Ford;D F Easton;M Stratton;S Narod

  • Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

    Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer

  • Genome-wide association study identifies five new schizophrenia loci

    Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson

  • Analysis of shared heritability in common disorders of the brain

    Verneri Anttila;Verneri Anttila;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K. Finucane;Raymond K. Walters;Raymond K. Walters

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

    Niamh Mullins;Andreas J. Forstner;Andreas J. Forstner;Andreas J. Forstner;Kevin S. O'Connell;Kevin S. O'Connell;Brandon Coombes

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

    Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud

  • Association analysis identifies 65 new breast cancer risk loci

    Kyriaki Michailidou;Kyriaki Michailidou;Sara Lindström;Sara Lindström;Joe Dennis;Jonathan Beesley

  • Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

    Phil H. Lee;Verneri Anttila;Hyejung Won;Yen-Chen A. Feng

  • Inflammatory subtypes in asthma: assessment and identification using induced sputum.

    Jodie L. Simpson;Rodney Scott;Michael J. Boyle;Peter G. Gibson

  • Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    Aysu Okbay;Bart M L Baselmans;Jan-Emmanuel De Neve;Patrick Turley

  • Long-term effect of aspirin on cancer risk in carriers of hereditary colorectal cancer: an analysis from the CAPP2 randomised controlled trial

    John Burn;Anne Marie Gerdes;Finlay MacRae;Jukka Pekka Mecklin

  • Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

    Christian R Marshall;Daniel P Howrigan;Daniel P Howrigan;Daniele Merico;Bhooma Thiruvahindrapuram

  • GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

    Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang

  • Frequency and Spectrum of Cancers in the Peutz-Jeghers Syndrome

    Nicholas Hearle;Valérie Schumacher;Fred H. Menko;Sylviane Olschwang

  • Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

    Nasim Mavaddat;Kyriaki Michailidou;Kyriaki Michailidou;Joe Dennis;Michael Lush

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

    Evangelos Evangelou;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsu

  • Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    Aysu Okbay;Bart M. L. Baselmans;Jan-Emmanuel De Neve;Patrick Turley

Frequent Co-Authors

John Attia
John Attia University of Newcastle Australia
Elizabeth G. Holliday
Elizabeth G. Holliday University of Newcastle Australia
Jan Lubinski
Jan Lubinski Pomeranian Medical University
Aarno Palotie
Aarno Palotie University of Helsinki
Anna Jakubowska
Anna Jakubowska Pomeranian Medical University
Vaughan J. Carr
Vaughan J. Carr University of New South Wales
Tonu Esko
Tonu Esko University of Tartu
Graham G. Giles
Graham G. Giles University of Melbourne
Grant W. Montgomery
Grant W. Montgomery University of Queensland
Ulrich Schall
Ulrich Schall University of Newcastle Australia

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