What is he best known for?
The fields of study he is best known for:
Daniel Kolarich mostly deals with Biochemistry, Glycan, Glycosylation, Chromatography and Glycoprotein.
His research in Biochemistry intersects with topics in Entamoeba histolytica and Nitroimidazole.
His biological study spans a wide range of topics, including Glycopeptide and Tandem mass spectrometry.
His work in Glycosylation addresses issues such as Glycomics, which are connected to fields such as Bioinformatics and Proteome.
The study incorporates disciplines such as Hydrophilic interaction chromatography and Recombinant DNA in addition to Glycoprotein.
His Electrospray ionization study incorporates themes from Antibody, Monoclonal antibody and Polyclonal antibodies.
His most cited work include:
- Analysis of immunoglobulin glycosylation by LC-ESI-MS of glycopeptides and oligosaccharides. (269 citations)
- Analysis of immunoglobulin glycosylation by LC-ESI-MS of glycopeptides and oligosaccharides. (269 citations)
- Simultaneous Glycan-Peptide Characterization Using Hydrophilic Interaction Chromatography and Parallel Fragmentation by CID, Higher Energy Collisional Dissociation, and Electron Transfer Dissociation MS Applied to the N-Linked Glycoproteome of Campylobacter jejuni (246 citations)
What are the main themes of his work throughout his whole career to date?
Daniel Kolarich mainly focuses on Biochemistry, Glycan, Glycosylation, Glycoprotein and Glycomics.
His work in Biochemistry addresses subjects such as Molecular biology, which are connected to disciplines such as Antibody and Thioredoxin reductase.
His study in Glycan is interdisciplinary in nature, drawing from both Tandem mass spectrometry, Proteomics, Electrospray ionization, Chromatography and Glycopeptide.
Daniel Kolarich studied Glycosylation and Glycoproteomics that intersect with Glycoconjugate.
The Glycoprotein study combines topics in areas such as Lectin, Immunology and Cell biology.
His Glycomics study integrates concerns from other disciplines, such as Glycome, Computational biology and Bioinformatics.
He most often published in these fields:
- Biochemistry (46.82%)
- Glycan (49.71%)
- Glycosylation (38.73%)
What were the highlights of his more recent work (between 2018-2021)?
- Glycomics (27.17%)
- Glycoproteomics (22.54%)
- Glycosylation (38.73%)
In recent papers he was focusing on the following fields of study:
Daniel Kolarich mainly investigates Glycomics, Glycoproteomics, Glycosylation, Glycan and Glycopeptide.
Within one scientific family, he focuses on topics pertaining to Computational biology under Glycomics, and may sometimes address concerns connected to Biosimilar.
Daniel Kolarich performs multidisciplinary study in Glycoproteomics and Data science in his work.
His Glycosylation research incorporates themes from Cancer research, Metastasis, Protein glycosylation and Glycoprotein.
His research integrates issues of Chromatography, Analyte, Mass spectrometry and Hydrophilic interaction chromatography in his study of Glycan.
His Glycopeptide study which covers Stereochemistry that intersects with Peptide, Peptide backbone and Proteomics.
Between 2018 and 2021, his most popular works were:
- GlyConnect: Glycoproteomics Goes Visual, Interactive, and Analytical. (34 citations)
- GlyConnect: Glycoproteomics Goes Visual, Interactive, and Analytical. (34 citations)
- Towards a standardized bioinformatics infrastructure for N- and O-glycomics (31 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Glycomics, Biological sciences, Computational biology, Glycan and Glycoinformatics.
With his scientific publications, his incorporates both Biological sciences and Data sharing.
The Computational biology study combines topics in areas such as Bioinformatics analysis, Protein glycosylation and Glycoprotein.
His Glycan research is multidisciplinary, incorporating perspectives in Glycosylation and Monoclonal antibody.
His work in Glycoinformatics incorporates the disciplines of Data science, Data visualization, Data curation, Data integration and Software.
He integrates many fields, such as Data science and engineering, in his works.
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