Pühringer, M., Lamp, L. M., Kolářová, D., Vošmik, M., Panzenboeck, L., Köllensperger, G., Holčapek, M., Hartler, J., & Rampler, E. (2026). Resolving lipid isomers up to the double bond position level using reversed-phase chromatography, EAD fragmentation, and high-resolution mass spectrometry: Application to pancreatic cancer. Analytica Chimica Acta, 1398, Artikel 345225. https://doi.org/10.1016/j.aca.2026.345225

Pühringer, M., Thür, N., Schnurer, M., Lamp, L. M., Panzenboeck, L., Hartler, J., Tanzer, A., Ibl, V., & Rampler, E. (2025). Automated mass spectrometry-based profiling of multi-glycosylated glycosyl inositol phospho ceramides (GIPC) reveals specific series GIPC rearrangements during barley grain development and heat stress response. Plant Journal, 122(6), Artikel e70279. https://doi.org/10.1111/tpj.70279

Panzenboeck, L., Schoeny, H., Stelzer, B., Foels, E., Glas, M., Pühringer, M., Hirschmann, D., Loetsch, D., Dorfer, C., Rampler, E., & Koellensperger, G. (2024). Triple acquisition mass spectrometry (TRAM) combining targeted and non-targeted metabolomics in a single run. Analytica Chimica Acta, 1331, Artikel 343314. https://doi.org/10.1016/j.aca.2024.343314

Fitz, V., Panzenboeck, L., Schoeny, H., Foels, E., & Koellensperger, G. (2024). Isotope dilution with isotopically labeled biomass: An effective alternative for quantitative metabolomics. Analytica Chimica Acta, 1318, Artikel 342909. https://doi.org/10.1016/j.aca.2024.342909

Zuffa, S., Schmid, R., Bauermeister, A., Paulo, P. W., Caraballo-Rodriguez, A. M., El Abiead, Y., Aron, A. T., Gentry, E. C., Zemlin, J., Meehan, M. J., Avalon, N. E., Cichewicz, R. H., Buzun, E., Terrazas, M. C., Hsu, C. Y., Oles, R., Ayala, A. V., Zhao, J., Chu, H., ... Dorrestein, P. C. (2024). microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics data. Nature Microbiology, 9(2), 336-345. https://doi.org/10.1038/s41564-023-01575-9

Hohenwallner, K., Troppmair, N., Panzenboeck, L., Kasper, C., El Abiead, Y., Koellensperger, G., Lamp, L. M., Hartler, J., Egger, D., & Rampler, E. (2022). Decoding Distinct Ganglioside Patterns of Native and Differentiated Mesenchymal Stem Cells by a Novel Glycolipidomics Profiling Strategy. JACS Au, 2(11), 2466-2480. https://doi.org/10.1021/jacsau.2c00230

El Abiead, Y., Bueschl, C., Panzenboeck, L., Wang, M., Doppler, M., Seidl, B., Zanghellini, J., Dorrestein, P. C., & Koellensperger, G. (2022). Heterogeneous multimeric metabolite ion species observed in LC-MS based metabolomics data sets. Analytica Chimica Acta, 1229, Artikel 340352. https://doi.org/10.1016/j.aca.2022.340352

Westermayr, J., Gastegger, M., Voros, D., Panzenboeck, L., Joerg, F., Gonzalez, L., & Marquetand, P. (2022). Deep learning study of tyrosine reveals that roaming can lead to photodamage. Nature Chemistry, 14(8), 914-919. https://doi.org/10.1038/s41557-022-00950-z

Panzenboeck, L., Troppmair, N., Schlachter, S., Koellensperger, G., Hartler, J., & Rampler, E. (2020). Chasing the Major Sphingolipids on Earth: Automated Annotation of Plant Glycosyl Inositol Phospho Ceramides by Glycolipidomics. Metabolites, 10(9), 1-20. Artikel 375. https://doi.org/10.3390/metabo10090375