Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
6 papers
Recent·Most cited
K. Alagesan, R. Ahmed-Begrich, E. Charpentier
This study shows that FAIMS improves detection of N- and O-glycopeptides without enrichment, increasing detection by 31% compared to standard methods.
K. Alagesan, F. Schirmeister, U. Moeginger…·D. Kolarich
The paper introduces GlycoRRT, a tool combining retention time and spectral analysis for automated glycan characterization using PGC-nLC-MS/MS, and applies it to human and animal glycomics data.
R. Kawahara, A. Chernykh, K. Alagesan…·Palmisano
This study evaluates glycoproteomics software performance using human serum datasets, identifies high-performance strategies, and provides recommendations for improved analysis.
K. Alagesan, D. Varon Silva, P. H. Seeberger, D. Kolarich
This paper introduces a sensitive method for quantifying and analyzing carbohydrate composition and linkages using LC-ESI-MS/MS with permethylation and reductive amination steps.
K. Alagesan, H. Hinneburg, P. Seeberger…·D. Kolarich
The paper evaluates how glycan size and attachment site location affect ETD fragmentation and automated glycopeptide identification using a synthetic glycopeptide library.
This study evaluates dopant solvents to enhance glycopeptide ionization using the CaptiveSpray nanoBooster, finding acetonitrile provides the best signal increase without enrichment.