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

D-Index & Metrics

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 142 Citations 83,144 822 World Ranking 594 National Ranking 353
Best Scientists D-index 173 Citations 130,090 1,367 World Ranking 546 National Ranking 366

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Scientist Award

Member of the Association of American Physicians

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • Genetics

His primary areas of study are Genetics, Genome-wide association study, Single-nucleotide polymorphism, Internal medicine and Genotype. His Genetics and Locus, Linkage disequilibrium, Allele, Genetic variation and Gene investigations all form part of his Genetics research activities. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Cancer, Breast cancer, Genetic predisposition, Case-control study and Genetic association.

His Single-nucleotide polymorphism research is multidisciplinary, relying on both Haplotype, Genotyping and Bioinformatics. His Internal medicine study incorporates themes from Gastroenterology, Endocrinology and Oncology. As a part of the same scientific family, Stephen J. Chanock mostly works in the field of Genotype, focusing on Immunology and, on occasion, Telomerase, Dyskeratosis congenita and Telomere.

His most cited work include:

  • The cancer genome atlas pan-cancer analysis project (3506 citations)
  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
  • Genome-wide association study identifies novel breast cancer susceptibility loci (2045 citations)

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

Stephen J. Chanock mainly focuses on Single-nucleotide polymorphism, Genetics, Internal medicine, Genome-wide association study and Oncology. His Single-nucleotide polymorphism research integrates issues from Genetic variation, Immunology and Haplotype. His study in Genetics concentrates on Locus, Allele, Gene, Linkage disequilibrium and Candidate gene.

His study in Odds ratio, Cancer, Case-control study and Prostate cancer is carried out as part of his studies in Internal medicine. The Genome-wide association study study combines topics in areas such as Disease, Genetic predisposition, Bioinformatics, Genetic association and Computational biology. His Oncology research incorporates elements of Breast cancer, Proportional hazards model and Cohort.

He most often published in these fields:

  • Single-nucleotide polymorphism (45.43%)
  • Genetics (44.24%)
  • Internal medicine (36.75%)

What were the highlights of his more recent work (between 2015-2021)?

  • Genome-wide association study (36.45%)
  • Internal medicine (36.75%)
  • Oncology (26.27%)

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

The scientist’s investigation covers issues in Genome-wide association study, Internal medicine, Oncology, Genetics and Single-nucleotide polymorphism. Stephen J. Chanock has included themes like Expression quantitative trait loci, Genetic association, Locus and Genetic predisposition in his Genome-wide association study study. His work carried out in the field of Genetic association brings together such families of science as Computational biology, Genetic variation, Disease and Linkage disequilibrium.

He interconnects Mendelian randomization, Case-control study, Childhood Cancer Survivor Study, Proportional hazards model and Hazard ratio in the investigation of issues within Oncology. His studies in Single-nucleotide polymorphism integrate themes in fields like Bioinformatics and Candidate gene. His Odds ratio research includes elements of Demography and Risk factor.

Between 2015 and 2021, his most popular works were:

  • Association analysis identifies 65 new breast cancer risk loci (569 citations)
  • Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes (257 citations)
  • Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk (238 citations)

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

  • Gene
  • Cancer
  • Internal medicine

Stephen J. Chanock focuses on Genome-wide association study, Genetics, Internal medicine, Oncology and Genetic association. His Genome-wide association study study deals with the bigger picture of Single-nucleotide polymorphism. His Oncology study also includes fields such as

  • Breast cancer together with Body mass index,
  • Pancreatic cancer and related CDKN2A.

His biological study spans a wide range of topics, including SNP, Medical genetics, Disease, Lung cancer and Genetic variation. His Locus research is multidisciplinary, incorporating elements of Linkage disequilibrium, Minor allele frequency, Allele, Allele frequency and Molecular biology. The concepts of his Cancer study are interwoven with issues in Chromosome and Y chromosome.

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

The cancer genome atlas pan-cancer analysis project

John N Weinstein;John N Weinstein;Eric A. Collisson;Gordon B Mills;Kenna R Mills Shaw;Kenna R Mills Shaw.
Nature Genetics (2013)

3386 Citations

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)

2864 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)

2560 Citations

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Nature (2010)

1934 Citations

Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li.
Nature Genetics (2009)

1789 Citations

A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer

David J Hunter;David J Hunter;Peter Kraft;Kevin B Jacobs;David G Cox.
Nature Genetics (2007)

1688 Citations

Genome-wide association study reveals genetic risk underlying Parkinson's disease

Javier Simón-Sánchez;Claudia Schulte;Jose M Bras;Jose M Bras;Manu Sharma.
Nature Genetics (2009)

1680 Citations

Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies

Sholom Wacholder;Stephen Chanock;Montserrat Garcia-Closas;Laure El ghormli.
Journal of the National Cancer Institute (2004)

1678 Citations

Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam.
Nature Genetics (2014)

1508 Citations

Replicating genotype–phenotype associations

Stephen J. Chanock;Teri Manolio;Michael Boehnke;Eric Boerwinkle.
Nature (2007)

1488 Citations

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Best Scientists Citing Stephen J. Chanock

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