What is he best known for?
The fields of study he is best known for:
Vincent Lombard focuses on Genome, Botany, Lignin, Microbiology and Gene. His work in the fields of Genome, such as CAZy, overlaps with other areas such as Fungal genetics and Database. His work deals with themes such as Genome project, Glycoside hydrolase family 31, Glycoside hydrolase family 11 and Glycoside hydrolase family 1, which intersect with CAZy.
His work on Basidiomycota, Agaricus and Agaricus bisporus as part of general Botany research is often related to Heterobasidion, thus linking different fields of science. In his research, Glycoside hydrolase, Glycosyltransferase and Enzyme is intimately related to Cell wall, which falls under the overarching field of Lignin. Vincent Lombard has researched Microbiology in several fields, including Bacteria, Symbiosis, Soil microbiology, Microbial metabolism and Host.
His most cited work include:
- The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics (3893 citations)
- The carbohydrate-active enzymes database (CAZy) in 2013 (3299 citations)
- Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice (2050 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genome, Metagenomics, Computational biology, Glycoside hydrolase and CAZy. The various areas that Vincent Lombard examines in his Genome study include Commensalism, Evolutionary biology and Roseburia. He has included themes like Microbiome, Microbiology, Rumen, Microbial ecology and Biomass in his Metagenomics study.
His Computational biology study integrates concerns from other disciplines, such as Phylogenetics and Function. His research in Glycoside hydrolase tackles topics such as Cellulase which are related to areas like Arundo donax and Streptomyces. Vincent Lombard performs integrative study on CAZy and Database in his works.
He most often published in these fields:
- Genome (44.00%)
- Metagenomics (54.00%)
- Computational biology (38.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (38.00%)
- Genome (44.00%)
- Biochemistry (22.00%)
In recent papers he was focusing on the following fields of study:
Vincent Lombard mainly focuses on Computational biology, Genome, Biochemistry, Metagenomics and Enzyme. His Computational biology research integrates issues from Microbiome, Gene, Phylogenetic tree, CAZy and Protein sequencing. His CAZy study incorporates themes from Amino acid, Proteomics, Trichoderma reesei, Function and Metabolomics.
Vincent Lombard carries out multidisciplinary research, doing studies in Genome and Context. When carried out as part of a general Biochemistry research project, his work on Glycoside hydrolase and Polysaccharide is frequently linked to work in Adhesion and Synbiotics, therefore connecting diverse disciplines of study. Vincent Lombard frequently studies issues relating to Rumen and Metagenomics.
Between 2018 and 2021, his most popular works were:
- Bacteroidetes use thousands of enzyme combinations to break down glycans. (63 citations)
- Discovery of novel carbohydrate-active enzymes through the rational exploration of the protein sequences space. (57 citations)
- Discovery of novel carbohydrate-active enzymes through the rational exploration of the protein sequences space. (57 citations)
In his most recent research, the most cited papers focused on:
Vincent Lombard mostly deals with Computational biology, Genome, CAZy, Gene and Phylogenetics. His biological study spans a wide range of topics, including Commensalism, Dietary fibre, Gut microbiome and Target population. In his study, Roseburia, Microbiome, Prokaryote and Rumen is strongly linked to Metagenomics, which falls under the umbrella field of Genome.
He applies his multidisciplinary studies on CAZy and Database in his research. His Gene research is multidisciplinary, relying on both Amino acid, DNA, Function and Metabolomics. His Phylogenetics research includes themes of Phylogenetic tree, Enzyme structure, Structural biology, Subfamily and Protein sequencing.
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