What is he best known for?
The fields of study he is best known for:
Matthias Mann spends much of his time researching Proteomics, Proteome, Biochemistry, Cell biology and Computational biology.
In his study, Organelle is strongly linked to Genomics, which falls under the umbrella field of Proteomics.
His Proteome research integrates issues from Quantitative proteomics, Yeast, Mass spectrometry, Stable isotope labeling by amino acids in cell culture and Membrane protein.
He is doing genetic studies as part of his Chromatography and Analytical chemistry and Mass spectrometry investigations.
His Cell biology study which covers Molecular biology that intersects with Cell culture.
The concepts of his Computational biology study are interwoven with issues in Peptide spectral library, Proteomics methods, Mass spectrometric and Protein–protein interaction.
His most cited work include:
- MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. (8300 citations)
- Mass Spectrometric Sequencing of Proteins from Silver-Stained Polyacrylamide Gels (7859 citations)
- Electrospray ionization for mass spectrometry of large biomolecules (5907 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Proteomics, Cell biology, Proteome, Biochemistry and Computational biology.
His Proteomics study combines topics in areas such as Chromatography, Mass spectrometry and Bioinformatics.
His research on Mass spectrometry concerns the broader Analytical chemistry.
His Cell biology research is multidisciplinary, relying on both Chromatin, Molecular biology, Membrane protein and Genetics.
His Proteome study integrates concerns from other disciplines, such as Transcriptome, Cell type and Biomarker discovery.
His Biochemistry research focuses on Phosphorylation, Lysine and Peptide sequence.
He most often published in these fields:
- Proteomics (40.53%)
- Cell biology (32.46%)
- Proteome (32.46%)
What were the highlights of his more recent work (between 2018-2021)?
- Proteomics (40.53%)
- Cell biology (32.46%)
- Proteome (32.46%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Proteomics, Cell biology, Proteome, Computational biology and Transcriptome.
Matthias Mann is interested in Biomarker discovery, which is a field of Proteomics.
The various areas that he examines in his Cell biology study include Chromatin, Downregulation and upregulation and Gene expression.
Bioinformatics covers he research in Proteome.
His work in Computational biology addresses issues such as Mass spectrometry based proteomics, which are connected to fields such as Formalin fixed paraffin embedded.
His Transcriptome study incorporates themes from Neuroscience and CRISPR.
Between 2018 and 2021, his most popular works were:
- An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics. (145 citations)
- Pervasive functional translation of noncanonical human open reading frames (110 citations)
- Pervasive functional translation of noncanonical human open reading frames (110 citations)
In his most recent research, the most cited papers focused on:
Matthias Mann mainly focuses on Proteome, Proteomics, Computational biology, Cell biology and Transcriptome.
He combines subjects such as TGFBI, Cirrhosis, Data-independent acquisition, Liver disease and Mass spectrometry with his study of Proteome.
His study looks at the intersection of Proteomics and topics like Biomarker with Whole blood, Sample and Data science.
The Computational biology study combines topics in areas such as Identification, Biomarker discovery, Open reading frame, Omics and Genetic screen.
His Cell biology research is multidisciplinary, incorporating elements of Chromatin, Ubiquitin and Transcription factor.
His work deals with themes such as CRISPR, RNA, Ribosome profiling, Crosstalk and Interactome, which intersect with Transcriptome.
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