D-Index & Metrics Best Publications

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
Medicine D-index 97 Citations 57,435 392 World Ranking 5489 National Ranking 3044

Research.com Recognitions

Awards & Achievements

Member of the Association of American Physicians

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Internal medicine
  • Diabetes mellitus

Jose C. Florez mainly investigates Genetics, Genome-wide association study, Type 2 diabetes, Internal medicine and Diabetes mellitus. His Genetics study is mostly concerned with Genetic association, Single-nucleotide polymorphism, Candidate gene, Gene and Locus. His Genome-wide association study research includes themes of Allele, Allele frequency, Medical genetics, Glucose homeostasis and Genetic architecture.

His research in Type 2 diabetes intersects with topics in HNF1A, Insulin, Insulin resistance and SLC30A8. His work in Internal medicine addresses issues such as Endocrinology, which are connected to fields such as TCF7L2. His Diabetes mellitus study combines topics in areas such as Disease and Risk factor.

His most cited work include:

  • Analysis of protein-coding genetic variation in 60,706 humans (6694 citations)
  • Analysis of protein-coding genetic variation in 60,706 humans (6694 citations)
  • Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels (2462 citations)

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

His scientific interests lie mostly in Type 2 diabetes, Internal medicine, Diabetes mellitus, Endocrinology and Genetics. His studies in Type 2 diabetes integrate themes in fields like Bioinformatics, Pharmacogenetics, TCF7L2, Single-nucleotide polymorphism and Disease. His Diabetes mellitus study combines topics from a wide range of disciplines, such as Randomized controlled trial and Weight loss.

His Endocrinology research is multidisciplinary, incorporating perspectives in Framingham Heart Study, Case-control study and Polymorphism. His study in Genome-wide association study, Allele, Allele frequency, Candidate gene and Gene is done as part of Genetics. His work focuses on many connections between Genome-wide association study and other disciplines, such as Genetic architecture, that overlap with his field of interest in Imputation.

He most often published in these fields:

  • Type 2 diabetes (78.78%)
  • Internal medicine (76.10%)
  • Diabetes mellitus (64.05%)

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

  • Type 2 diabetes (78.78%)
  • Diabetes mellitus (64.05%)
  • Genome-wide association study (48.76%)

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

The scientist’s investigation covers issues in Type 2 diabetes, Diabetes mellitus, Genome-wide association study, Internal medicine and Genetics. The Type 2 diabetes study combines topics in areas such as Biobank, Bioinformatics, Oncology, Gestational diabetes and Cohort. His studies deal with areas such as Precision medicine and Disease as well as Diabetes mellitus.

His Genome-wide association study research integrates issues from Odds ratio, Allele frequency, Genetic association, Genetic variation and Genetic architecture. His Internal medicine research includes elements of Endocrinology and Mendelian randomization. His research links Risk factor with Genetics.

Between 2017 and 2021, his most popular works were:

  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. (503 citations)
  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes (165 citations)
  • Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (145 citations)

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

  • Gene
  • Internal medicine
  • Diabetes mellitus

Jose C. Florez mostly deals with Genome-wide association study, Type 2 diabetes, Diabetes mellitus, Internal medicine and Endocrinology. Jose C. Florez is exploring Genome-wide association study as part of his Genetics and Genotype and Genome-wide association study studies. His Genetic association study in the realm of Genetics connects with subjects such as Context.

His biological study spans a wide range of topics, including Prospective cohort study, Bioinformatics and Environmental health. The concepts of his Diabetes mellitus study are interwoven with issues in Quality of life, Disease, MEDLINE and Case-control study. The various areas that Jose C. Florez examines in his Internal medicine study include SNP, Single-nucleotide polymorphism and Polymorphism.

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

Analysis of protein-coding genetic variation in 60,706 humans

Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha.
Nature (2016)

8828 Citations

Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels

Richa Saxena;Benjamin F. Voight;Valeriya Lyssenko;Noël P. Burtt.
Science (2007)

2913 Citations

Metabolite profiles and the risk of developing diabetes

Thomas J Wang;Martin G Larson;Martin G Larson;Ramachandran S Vasan;Ramachandran S Vasan;Susan Cheng;Susan Cheng;Susan Cheng.
Nature Medicine (2011)

2720 Citations

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)

2281 Citations

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)

J Dupuis;C Langenberg;I Prokopenko;R Saxena.
Nature Genetics (2010)

2193 Citations

Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris.
Nature Genetics (2010)

2041 Citations

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira.
Nature Genetics (2012)

1960 Citations

Common genetic determinants of vitamin D insufficiency: a genome-wide association study

Thomas J. Wang;Feng Zhang;J. Brent Richards;Bryan Kestenbaum.
The Lancet (2010)

1936 Citations

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)

1784 Citations

TCF7L2 polymorphisms and progression to diabetes in the Diabetes Prevention Program.

Jose C. Florez;Kathleen A. Jablonski;Nick Bayley;Toni I. Pollin.
The New England Journal of Medicine (2006)

1058 Citations

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