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 D-index 64 Citations 15,391 171 World Ranking 1995 National Ranking 91

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Mutation
  • Genetics

Christophe Béroud spends much of his time researching Genetics, Database, Bioinformatics, Missense mutation and Genotype. His work on Genetics deals in particular with Gene, Exon skipping, Mutation, Germline mutation and Point mutation. His Database study integrates concerns from other disciplines, such as Mutation database and Locus.

He interconnects Amino acid substitution, Tp53 mutation, Tumor suppressor proteins and Neoplasms therapy in the investigation of issues within Bioinformatics. Christophe Béroud works in the field of Missense mutation, focusing on Nonsense mutation in particular. His study looks at the intersection of Genotype and topics like Mutation with Haploinsufficiency, Proband, Ectopia lentis and P53 tumor suppressor gene.

His most cited work include:

  • Human Splicing Finder: an online bioinformatics tool to predict splicing signals (1774 citations)
  • Assessing TP53 status in human tumours to evaluate clinical outcome. (556 citations)
  • APC Gene: Database of Germline and Somatic Mutations in Human Tumors and Cell Lines (383 citations)

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

His main research concerns Genetics, Gene, Database, Mutation and Missense mutation. While the research belongs to areas of Gene, Christophe Béroud spends his time largely on the problem of Computational biology, intersecting his research to questions surrounding DNA sequencing and Human genome. His work is dedicated to discovering how Database, Germline mutation are connected with Tumor suppressor gene and other disciplines.

As part of one scientific family, Christophe Béroud deals mainly with the area of Mutation, narrowing it down to issues related to the Exon skipping, and often Exonic splicing enhancer, splice and Duchenne muscular dystrophy. The study incorporates disciplines such as Ectopia lentis and Marfan syndrome in addition to Missense mutation. His Genotype research integrates issues from Proband and Bioinformatics.

He most often published in these fields:

  • Genetics (51.46%)
  • Gene (33.01%)
  • Database (21.84%)

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

  • Genetics (51.46%)
  • Computational biology (14.08%)
  • Gene (33.01%)

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

Christophe Béroud mainly focuses on Genetics, Computational biology, Gene, Mutation and Exome. His studies link Hemolysis with Genetics. His study looks at the relationship between Computational biology and fields such as DNA sequencing, as well as how they intersect with chemical problems.

As a part of the same scientific study, Christophe Béroud usually deals with the Gene, concentrating on Muscular dystrophy and frequently concerns with Collagen VI, Muscle weakness and Cancer research. His Mutation research focuses on subjects like Pathology, which are linked to Leukemia. Christophe Béroud has included themes like Nonsense mutation, Stop codon and Exon skipping in his Duchenne muscular dystrophy study.

Between 2014 and 2021, his most popular works were:

  • The TREAT-NMD DMD Global Database: Analysis of More than 7,000 Duchenne Muscular Dystrophy Mutations (267 citations)
  • The TREAT-NMD DMD Global Database: Analysis of More than 7,000 Duchenne Muscular Dystrophy Mutations (267 citations)
  • UMD‐Predictor: A High‐Throughput Sequencing Compliant System for Pathogenicity Prediction of any Human cDNA Substitution (77 citations)

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

  • Gene
  • Mutation
  • Genetics

Mutation, Genetics, Exome, Pathology and Point mutation are his primary areas of study. His research integrates issues of Genetic linkage, Fundus, Electroretinography and Macular dystrophy in his study of Mutation. His research in the fields of Missense mutation, Gene and HEK 293 cells overlaps with other disciplines such as Calmodulin.

The Nonsense mutation research Christophe Béroud does as part of his general Missense mutation study is frequently linked to other disciplines of science, such as Eteplirsen, therefore creating a link between diverse domains of science. His biological study spans a wide range of topics, including Breast cancer, Mutation and Data curation. His Point mutation research incorporates elements of Complementary DNA, Exon skipping, Nonsynonymous substitution and Genetic variation.

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

Human Splicing Finder: an online bioinformatics tool to predict splicing signals

François Olivier Desmet;Dalil Hamroun;Marine Lalande;Gwenaëlle Collod-Bëroud.
Nucleic Acids Research (2009)

2491 Citations

Assessing TP53 status in human tumours to evaluate clinical outcome.

Thierry Soussi;Christophe Béroud.
Nature Reviews Cancer (2001)

885 Citations

Effect of mutation type and location on clinical outcome in 1,013 probands with marfan syndrome or related phenotypes and FBN1 mutations : An international study

L. Faivre;G. Collod-Beroud;G. Collod-Beroud;B.L. Loeys;A. Child.
American Journal of Human Genetics (2007)

533 Citations

The TREAT-NMD DMD Global Database: Analysis of More than 7,000 Duchenne Muscular Dystrophy Mutations

Catherine L. Bladen;David Salgado;Soledad Monges;Maria E. Foncuberta.
Human Mutation (2015)

490 Citations

Low mitochondrial respiratory chain content correlates with tumor aggressiveness in renal cell carcinoma

Hélène Simonnet;Nathalie Alazard;Kathy Pfeiffer;Catherine Gallou.
Carcinogenesis (2002)

439 Citations

APC Gene: Database of Germline and Somatic Mutations in Human Tumors and Cell Lines

Christophe Béroud;Thierry Soussi.
Nucleic Acids Research (1996)

397 Citations

p53 website and analysis of p53 gene mutations in human cancer: forging a link between epidemiology and carcinogenesis.

Thierry Soussi;Karim Dehouche;Christophe Béroud.
Human Mutation (2000)

380 Citations

Update of the UMD-FBN1 mutation database and creation of an FBN1 polymorphism database.

Gwenaëlle Collod-Béroud;Saga Le Bourdelles;Lesley Ades;Lesley Ades;Leena Ala-Kokko;Leena Ala-Kokko.
Human Mutation (2003)

367 Citations

Genotype-phenotype analysis in 2,405 patients with a dystrophinopathy using the UMD-DMD database: a model of nationwide knowledgebase.

Sylvie Tuffery-Giraud;Sylvie Tuffery-Giraud;Christophe Béroud;Christophe Béroud;Rabah Ben Yaou;Rabah Ben Yaou.
Human Mutation (2009)

329 Citations

Diagnostic approach to the congenital muscular dystrophies

Carsten C.G. Bönnemann;Ching C.H. Wang;Susana Quijano-Roy;Nicolas Deconinck.
Neuromuscular Disorders (2014)

288 Citations

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