D-Index & Metrics Best Publications

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
Biology and Biochemistry D-index 42 Citations 10,211 104 World Ranking 15016 National Ranking 6276

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Genetics
  • Internal medicine

Michèle M. Sale spends much of her time researching Genetics, Genome-wide association study, Genetic association, Locus and Single-nucleotide polymorphism. Her Genetics study often links to related topics such as Type 2 diabetes. Her Genome-wide association study research is multidisciplinary, incorporating elements of Odds ratio, Kidney disease, Allele frequency, Medical genetics and Stroke.

Her research in Genetic association intersects with topics in Meta-analysis, Sample, Disease and Inference. Her Locus course of study focuses on Phenotype and Summary statistics. Her research investigates the link between Single-nucleotide polymorphism and topics such as Case-control study that cross with problems in Genotyping.

Her most cited work include:

  • A genome-wide association search for type 2 diabetes genes in African Americans. (1727 citations)
  • Robust relationship inference in genome-wide association studies (1145 citations)
  • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers. (386 citations)

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

The scientist’s investigation covers issues in Genetics, Internal medicine, Single-nucleotide polymorphism, Genome-wide association study and Diabetes mellitus. As part of her studies on Genetics, Michèle M. Sale often connects relevant areas like Type 2 diabetes. Her Internal medicine research focuses on Endocrinology and how it connects with Genotype.

The Single-nucleotide polymorphism study combines topics in areas such as Odds ratio, Genotyping, Case-control study and Haplotype. Her research integrates issues of Bioinformatics, Allele frequency, Meta-analysis, Quantitative trait locus and Brain ischemia in her study of Genome-wide association study. Her work deals with themes such as Genome, Gene, Epidemiology and Family medicine, which intersect with Diabetes mellitus.

She most often published in these fields:

  • Genetics (53.80%)
  • Internal medicine (32.61%)
  • Single-nucleotide polymorphism (29.89%)

What were the highlights of her more recent work (between 2014-2021)?

  • Genetics (53.80%)
  • Genome-wide association study (26.09%)
  • Internal medicine (32.61%)

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

Her primary scientific interests are in Genetics, Genome-wide association study, Internal medicine, Genetic association and Stroke. The various areas that Michèle M. Sale examines in her Genetics study include Meta-analysis and Type 2 diabetes. Michèle M. Sale interconnects Minor allele frequency, Allele frequency, Medical genetics, Quantitative trait locus and Brain ischemia in the investigation of issues within Genome-wide association study.

Michèle M. Sale has researched Internal medicine in several fields, including Diabetes mellitus, Endocrinology, Oncology and Cell adhesion molecule. Her Genetic association research incorporates themes from Young adult, Gerontology, Verbal learning, Cognition and Locus. Her studies deal with areas such as Odds ratio, Proportional hazards model and Bioinformatics as well as Stroke.

Between 2014 and 2021, her most popular works were:

  • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers. (386 citations)
  • Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function (273 citations)
  • Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis (188 citations)

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

  • Gene
  • Internal medicine
  • Genetics

Her primary areas of investigation include Genome-wide association study, Genetics, Genetic association, Medical genetics and Stroke. Her work in Genome-wide association study tackles topics such as Allele frequency which are related to areas like Allelic heterogeneity, Quantitative trait locus and Insulin resistance. The concepts of her Genetics study are interwoven with issues in Nephrology and Kidney disease.

Her Medical genetics research includes elements of Diabetes mellitus, Glycemic, Case-control study, Single-nucleotide polymorphism and Human genetics. Her biological study spans a wide range of topics, including Genotyping and Autoimmunity. Her Stroke study combines topics from a wide range of disciplines, such as Odds ratio and Bioinformatics.

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

A genome-wide association search for type 2 diabetes genes in African Americans.

N D Palmer;C W McDonough;P J Hicks;B H Roh.
PLOS ONE (2012)

1653 Citations

Robust relationship inference in genome-wide association studies

Ani Manichaikul;Josyf C. Mychaleckyj;Stephen S. Rich;Kathy Daly.
Bioinformatics (2010)

1271 Citations

Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.

Matthew Traylor;Martin Farrall;Elizabeth G Holliday;Cathie Sudlow.
Lancet Neurology (2012)

504 Citations

Retinopathy of prematurity: recent advances in our understanding

C M Wheatley;J L Dickinson;D A Mackey;J E Craig.
British Journal of Ophthalmology (2002)

315 Citations

Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Cristian Pattaro;Alexander Teumer;Mathias Gorski;Audrey Y. Chu.
Nature Communications (2016)

282 Citations

Linkage of Genetic Markers on Human Chromosomes 20 and 12 to NIDDM in Caucasian Sib Pairs With a History of Diabetic Nephropathy

Donald W Bowden;Michèle Sale;Timothy D Howard;Asif Qadri.
Diabetes (1997)

269 Citations

A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.

Keri L. Monda;Keri L. Monda;Gary K. Chen;Kira C. Taylor;Kira C. Taylor;Cameron Palmer;Cameron Palmer.
Nature Genetics (2013)

257 Citations

Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis

Eleanor Wheeler;Aaron Leong;Ching-Ti Liu;Marie-France Hivert.
PLOS Medicine (2017)

231 Citations

A genome scan for diabetic nephropathy in African Americans.

Donald W. Bowden;Carla J. Colicigno;Carl D. Langefeld;Michèle M. Sale.
Kidney International (2004)

211 Citations

Meta-analysis of Correlated Traits via Summary Statistics from GWASs with an Application in Hypertension

Xiaofeng Zhu;Tao Feng;Tao Feng;Bamidele O. Tayo;Jingjing Liang.
American Journal of Human Genetics (2015)

198 Citations

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