Hans-Werner Mewes

What is he best known for?

The fields of study he is best known for:

• Gene
• DNA
• Genome

Genetics, Genome, Gene, Genomics and Computational biology are his primary areas of study. The Munich Information Center for Protein Sequences, Human genome and Gene family research Hans-Werner Mewes does as part of his general Genome study is frequently linked to other disciplines of science, such as Ladderane, therefore creating a link between diverse domains of science. He combines subjects such as Set and Bioinformatics with his study of Munich Information Center for Protein Sequences.

His work in Gene tackles topics such as Metabolite which are related to areas like ACADM, Genetic variation, Medical genetics and Genetic variability. As a part of the same scientific study, Hans-Werner Mewes usually deals with the Genomics, concentrating on Single-nucleotide polymorphism and frequently concerns with Mutation, DNA, Point mutation and Gene mutation. His Computational biology research includes themes of Drug metabolism and Biochemistry, Yeast.

His most cited work include:

• Life with 6000 Genes (3567 citations)
• MIPS: a database for genomes and protein sequences (1270 citations)
• Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis (904 citations)

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

Hans-Werner Mewes mainly investigates Genetics, Genome, Computational biology, Gene and Bioinformatics. The concepts of his Genome study are interwoven with issues in Annotation, Arabidopsis and Database. Hans-Werner Mewes has included themes like Proteome, microRNA, Metabolic pathway, DNA sequencing and Structural genomics in his Computational biology study.

His research ties Fusarium and Gene together. His biological study spans a wide range of topics, including Munich Information Center for Protein Sequences, The Internet, Information retrieval and Data science. His Munich Information Center for Protein Sequences research integrates issues from Sequence database and Set.

He most often published in these fields:

• Genetics (34.93%)
• Genome (33.56%)
• Computational biology (30.82%)

What were the highlights of his more recent work (between 2009-2020)?

• Genetics (34.93%)
• Gene (23.29%)
• Computational biology (30.82%)

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

The scientist’s investigation covers issues in Genetics, Gene, Computational biology, Sequence and Database. Allele frequency, Exome sequencing, Genome-wide association study, Genome and Mutation are subfields of Genetics in which his conducts study. His work in the fields of Genome, such as Horizontal gene transfer, overlaps with other areas such as Secondary metabolism.

Many of his studies on Gene apply to Metabolite as well. His work carried out in the field of Computational biology brings together such families of science as Metabolic pathway, Metabolomics, Drug metabolism and Gene expression profiling. His study in Sequence is interdisciplinary in nature, drawing from both Annotation, Sequence analysis, Ensembl and Blast2GO.

Between 2009 and 2020, his most popular works were:

• Human metabolic individuality in biomedical and pharmaceutical research (718 citations)
• A genome-wide perspective of genetic variation in human metabolism (518 citations)
• Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. (426 citations)

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

• Gene
• DNA
• Genome

His primary areas of study are Genetics, Genome-wide association study, Gene, Allele and Mutation. His work on Genome, Gene expression profiling, Wild type and Protein family as part of general Genetics study is frequently linked to Mitochondrial disease, therefore connecting diverse disciplines of science. Many of his studies involve connections with topics such as Cancer and Genome.

The Genome-wide association study study combines topics in areas such as Metabolite, Genetic variability, ACADM and Genetic variation. In his papers, Hans-Werner Mewes integrates diverse fields, such as Gene and Secondary metabolism. His Allele research is multidisciplinary, relying on both Pharmacogenetics, Genetic association and Bioinformatics.