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
Genetics and Molecular Biology D-index 46 Citations 29,631 61 World Ranking 4252 National Ranking 450

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Genetics
  • DNA

Cordelia Langford mostly deals with Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Genetic predisposition. Many of her studies on Genetics apply to Computational biology as well. Her research in Genome-wide association study intersects with topics in Multiple sclerosis, Allele, Allele frequency and Bioinformatics.

Her Genetic association research integrates issues from Candidate gene, Psoriasis and Genetic architecture. The GENCODE study combines topics in areas such as Functional genomics, Annotation and Systems biology. Her studies in ENCODE integrate themes in fields like International HapMap Project and DNA.

Her most cited work include:

  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
  • Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis (1970 citations)
  • The ENCODE (ENCyclopedia of DNA elements) Project (1725 citations)

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

Cordelia Langford focuses on Genetics, Genome-wide association study, Molecular biology, Genome and Gene expression profiling. Genetics is closely attributed to Cancer research in her study. Her Genome-wide association study research incorporates elements of SNP, Genetic association, Genetic architecture and Genetic predisposition.

Her research integrates issues of Tumor suppressor gene, Platelet, Transcriptome and Gene silencing in her study of Molecular biology. Cordelia Langford works mostly in the field of Genome, limiting it down to concerns involving Computational biology and, occasionally, Human genome. The Human genome study which covers ENCODE that intersects with GENCODE.

She most often published in these fields:

  • Genetics (55.21%)
  • Genome-wide association study (32.29%)
  • Molecular biology (19.79%)

What were the highlights of her more recent work (between 2011-2021)?

  • Genetics (55.21%)
  • Genome-wide association study (32.29%)
  • Genetic association (11.46%)

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

The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Allele frequency and Single-nucleotide polymorphism. Cordelia Langford performs multidisciplinary study in the fields of Genetics and Glucose homeostasis via her papers. Her studies deal with areas such as Odds ratio, Disease, Locus and Case-control study as well as Genome-wide association study.

Her study on Case-control study also encompasses disciplines like

  • Infectious disease that connect with fields like Immunology,
  • Type 2 diabetes which is related to area like Evolutionary biology, Linkage disequilibrium and Gene. Her Genetic association research includes themes of Candidate gene and Genetic architecture. The various areas that Cordelia Langford examines in her Allele frequency study include Lineage, Autoimmune disease, Genetic variation and Genetic diversity.

Between 2011 and 2021, her most popular works were:

  • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes (1502 citations)
  • Large-scale association analysis identifies new risk loci for coronary artery disease (1172 citations)
  • Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis (906 citations)

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

  • Gene
  • DNA
  • Genetics

Genetics, Genome-wide association study, Genetic association, Allele and Genetic architecture are her primary areas of study. The study of Genetics is intertwined with the study of Evolutionary biology in a number of ways. Her biological study spans a wide range of topics, including Case-control study, Gene, Type 2 diabetes and Linkage disequilibrium.

Her Genome-wide association study research entails a greater understanding of Single-nucleotide polymorphism. In her research, Regulation of gene expression is intimately related to Molecular biology, which falls under the overarching field of Gene expression profiling. Her Major histocompatibility complex research incorporates themes from Multiple sclerosis and Genotype, Allele frequency.

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

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó.
Nature (2007)

5709 Citations

The ENCODE (ENCyclopedia of DNA elements) Project

E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz.
Science (2004)

2921 Citations

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

Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer.
Nature (2011)

2262 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)

1642 Citations

The DNA sequence of human chromosome 22

I. Dunham;N. Shimizu;B. A. Roe;S. Chissoe.
Nature (1999)

1405 Citations

Large-scale association analysis identifies new risk loci for coronary artery disease

Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall.
Nature Genetics (2013)

1284 Citations

The DNA sequence of the human X chromosome

Mark T Ross;Darren V Grafham;Alison J Coffey;Steven Scherer.
Nature (2005)

1158 Citations

Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

Ashley H. Beecham;Nikolaos A. Patsopoulos;Nikolaos A. Patsopoulos;Dionysia K. Xifara;Mary F. Davis.
Nature Genetics (2013)

873 Citations

A Genome-Wide Association Study Identifies New Psoriasis Susceptibility Loci and an Interaction Between HLA-C and ERAP1

Amy Strange;Francesca Capon;Chris C A Spencer.
Nature Genetics (2010)

841 Citations

Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls

Nick Craddock;Matthew E. Hurles;Niall Cardin;Richard D. Pearson.
Nature (2010)

833 Citations

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