D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge
Biology and Biochemistry
Germany
2022

D-Index & Metrics

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
Biology and Biochemistry D-index 226 Citations 247,780 763 World Ranking 5 National Ranking 1
Best Scientists D-index 241 Citations 294,097 962 World Ranking 46 National Ranking 1

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Scientist Award

2022 - Research.com Biology and Biochemistry in Germany Leader Award

2013 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Biochemistry and Biophysics

Member of the European Molecular Biology Organization (EMBO)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • DNA

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:

  • Gene
  • Enzyme
  • DNA

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.

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

MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Jiirgen Cox;Matthias Mann.
Nature Biotechnology (2008)

12903 Citations

Mass Spectrometric Sequencing of Proteins from Silver-Stained Polyacrylamide Gels

Andrej Shevchenko;Matthias Wilm;Ole Vorm;Matthias Mann.
Analytical Chemistry (1996)

10271 Citations

Electrospray ionization for mass spectrometry of large biomolecules

John B. Fenn;Matthias Mann;Chin Kai Meng;Shek Fu Wong.
Science (1989)

10034 Citations

Mass spectrometry-based proteomics

Ruedi Aebersold;Matthias Mann.
Nature (2003)

8591 Citations

Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Shao En Ong;Blagoy Blagoev;Irina Kratchmarova;Dan Bach Kristensen.
Molecular & Cellular Proteomics (2002)

6347 Citations

Universal sample preparation method for proteome analysis

Jacek R. Wisniewski;Alexandre Zougman;Nagarjuna Nagaraj;Matthias Mann.
Nature Methods (2009)

5173 Citations

Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry

Yuen Ho;Albrecht Gruhler;Adrian Heilbut;Gary D Bader;Gary D Bader.
Nature (2002)

4366 Citations

In-gel digestion for mass spectrometric characterization of proteins and proteomes

Andrej Shevchenko;Henrik Tomas;Jan Havlis;Jesper V Olsen.
Nature Protocols (2006)

4326 Citations

Andromeda: a peptide search engine integrated into the MaxQuant environment

Jürgen Cox;Nadin Neuhauser;Annette Michalski;Richard A. Scheltema.
Journal of Proteome Research (2011)

3891 Citations

Lysine Acetylation Targets Protein Complexes and Co-Regulates Major Cellular Functions

Chuna Ram Choudhary;Chanchal Kumar;Florian Gnad;Michael L Nielsen.
Science (2009)

3779 Citations

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