| OpenMS: a flexible open-source software platform for mass spectrometry data analysis HL Röst, T Sachsenberg, S Aiche, C Bielow, H Weisser, F Aicheler, ... Nature methods 13 (9), 741-748, 2016 | 702 | 2016 |
| Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses G Rosenberger, I Bludau, U Schmitt, M Heusel, CL Hunter, Y Liu, ... Nature methods 14 (9), 921-927, 2017 | 229 | 2017 |
| pyOpenMS: a Python‐based interface to the OpenMS mass‐spectrometry algorithm library HL Röst, U Schmitt, R Aebersold, L Malmström Proteomics 14 (1), 74-77, 2014 | 149 | 2014 |
| DIANA-algorithmic improvements for analysis of data-independent acquisition MS data J Teleman, H Röst, G Rosenberger, U Schmitt, L Malmström, J Malmström, ... Bioinformatics, btu686, 2014 | 121 | 2014 |
| Efficient algorithms for the regularization of dynamic inverse problems: I. Theory U Schmitt, AK Louis Inverse Problems 18 (3), 645, 2002 | 117 | 2002 |
| Efficient algorithms for the regularization of dynamic inverse problems: II. Applications U Schmitt, AK Louis, C Wolters, M Vauhkonen Inverse Problems 18 (3), 659, 2002 | 110 | 2002 |
| eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows P Kiefer, U Schmitt, JA Vorholt Bioinformatics 29 (7), 963-964, 2013 | 69 | 2013 |
| Quantitative proteome landscape of the NCI-60 cancer cell lines T Guo, A Luna, VN Rajapakse, CC Koh, Z Wu, W Liu, Y Sun, H Gao, ... Iscience 21, 664-680, 2019 | 56 | 2019 |
| Spatio-temporal current density reconstruction (stCDR) from EEG/MEG-data F Darvas, U Schmitt, AK Louis, M Fuchs, G Knoll, H Buchner Brain Topography 13, 195-207, 2001 | 44 | 2001 |
| Numerical aspects of spatio-temporal current density reconstruction from EEG-/MEG-data U Schmitt, AK Louis, F Darvas, H Buchner, M Fuchs IEEE transactions on medical imaging 20 (4), 314-324, 2001 | 42 | 2001 |
| DynaMet: a fully automated pipeline for dynamic LC–MS data P Kiefer, U Schmitt, JEN Müller, J Hartl, F Meyer, F Ryffel, JA Vorholt Analytical chemistry 87 (19), 9679-9686, 2015 | 26 | 2015 |
| Fast and efficient XML data access for next-generation mass spectrometry HL Röst, U Schmitt, R Aebersold, L Malmström PloS one 10 (4), e0125108, 2015 | 24 | 2015 |
| ScalaFlux: a scalable approach to quantify fluxes in metabolic subnetworks P Millard, U Schmitt, P Kiefer, JA Vorholt, S Heux, JC Portais PLoS computational biology 16 (4), e1007799, 2020 | 16 | 2020 |
| Predicting cosmological observables with PyCosmo F Tarsitano, U Schmitt, A Refregier, J Fluri, R Sgier, A Nicola, J Herbel, ... Astronomy and Computing 36, 100484, 2021 | 15 | 2021 |
| Rö st G Rosenberger, I Bludau, U Schmitt, M Heusel, CL Hunter, Y Liu, ... HL, Tate, S., Ting, YS, Collins, BC, and Aebersold, 921-927, 2014 | 13 | 2014 |
| sympy2c: From symbolic expressions to fast C/C++ functions and ODE solvers in Python U Schmitt, B Moser, CS Lorenz, A Refregier Astronomy and Computing 42, 100666, 2023 | 10 | 2023 |
| Symbolic implementation of extensions of the PyCosmo Boltzmann solver B Moser, CS Lorenz, U Schmitt, A Refregier, J Fluri, R Sgier, F Tarsitano, ... Astronomy and Computing 40, 100603, 2022 | 8 | 2022 |
| Rapid proteotyping reveals cancer biology and drug response determinants in the NCI-60 cells T Guo, A Luna, VN Rajapakse, CC Koh, Z Wu, MP Menden, Y Cheng, ... BioRxiv, 268953, 2018 | 7 | 2018 |
| Programmieren in C: eine mathematikorientierte Einführung R Kirsch, U Schmitt Springer-Verlag, 2007 | 6 | 2007 |
| V-pipe 3.0: a sustainable pipeline for within-sample viral genetic diversity estimation L Fuhrmann, KP Jablonski, I Topolsky, AA Batavia, N Borgsmüller, ... GigaScience 13, giae065, 2024 | 4 | 2024 |
