| A draft map of the mouse pluripotent stem cell spatial proteome A Christoforou, CM Mulvey, LM Breckels, A Geladaki, T Hurrell, ... Nature communications 7 (1), 9992, 2016 | 238 | 2016 |
| From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics L Perez de Souza, T Naake, T Tohge, AR Fernie GigaScience 6 (7), gix037, 2017 | 92 | 2017 |
| Coordinating sulfur pools under sulfate deprivation F Aarabi, T Naake, AR Fernie, R Hoefgen Trends in Plant Science 25 (12), 1227-1239, 2020 | 82 | 2020 |
| Mass spectrometry‐based untargeted plant metabolomics L Perez de Souza, S Alseekh, T Naake, A Fernie Current protocols in plant biology 4 (4), e20100, 2019 | 79 | 2019 |
| The metaRbolomics Toolbox in Bioconductor and beyond J Stanstrup, CD Broeckling, R Helmus, N Hoffmann, E Mathé, T Naake, ... Metabolites 9 (10), 200, 2019 | 78* | 2019 |
| Visualization of proteomics data using R and Bioconductor L Gatto, LM Breckels, T Naake, S Gibb Proteomics 15 (8), 1375-1389, 2015 | 62 | 2015 |
| The Intracellular Localization of the Vanillin Biosynthetic Machinery in Pods of Vanilla planifolia NJ Gallage, K Jørgensen, C Janfelt, AJZ Nielsen, T Naake, E Duński, ... Plant and Cell Physiology 59 (2), 304-318, 2017 | 50 | 2017 |
| Networks and graphs discovery in metabolomics data analysis and interpretation A Amara, C Frainay, F Jourdan, T Naake, S Neumann, ... Frontiers in Molecular Biosciences 9, 841373, 2022 | 46 | 2022 |
| Genome-wide association of the metabolic shifts underpinning dark-induced senescence in Arabidopsis F Zhu, S Alseekh, K Koper, H Tong, Z Nikoloski, T Naake, H Liu, J Yan, ... The Plant Cell 34 (1), 557-578, 2022 | 33 | 2022 |
| MetNet: metabolite network prediction from high-resolution mass spectrometry data in R aiding metabolite annotation T Naake, AR Fernie Analytical chemistry 91 (3), 1768-1772, 2018 | 33 | 2018 |
| Kingdom-wide analysis of the evolution of the plant type III polyketide synthase superfamily T Naake, HA Maeda, S Proost, T Tohge, AR Fernie Plant Physiology 185 (3), 857-875, 2021 | 29 | 2021 |
| MetCirc: navigating mass spectral similarity in high-resolution MS/MS metabolomics data T Naake, E Gaquerel Bioinformatics 33 (15), 2419-2420, 2017 | 27 | 2017 |
| Plant mitochondrial carriers: Molecular gatekeepers that help to regulate plant central carbon metabolism MR Toleco, T Naake, Y Zhang, JL Heazlewood, A R. Fernie Plants 9 (1), 117, 2020 | 25 | 2020 |
| Diversity of chemical structures and biosynthesis of polyphenols in nut-bearing species C Aneklaphakij, T Saigo, M Watanabe, T Naake, AR Fernie, S Bunsupa, ... Frontiers in Plant Science 12, 642581, 2021 | 24 | 2021 |
| OsGF14b modulates defense signaling pathways in rice panicle blast response S Yan, Q Liu, T Naake, W Huang, M Chen, Q Kong, S Zhang, W Li, X Li, ... The Crop Journal 9 (4), 725-738, 2021 | 18 | 2021 |
| Pre-analytical processing of plasma and serum samples for combined proteome and metabolome analysis HM Gegner, T Naake, A Dugourd, T Müller, F Czernilofsky, G Kliewer, ... Frontiers in Molecular Biosciences 9, 961448, 2022 | 11 | 2022 |
| MatrixQCvis: shiny-based interactive data quality exploration for omics data T Naake, W Huber Bioinformatics 38 (4), 1181-1182, 2022 | 8 | 2022 |
| Annotation of specialized metabolites from high-throughput and high-resolution mass spectrometry metabolomics T Naake, E Gaquerel, AR Fernie Computational Methods and Data Analysis for Metabolomics, 209-225, 2020 | 4 | 2020 |
| Genome-wide association studies identify loci controlling specialized seed metabolites in Arabidopsis T Naake, F Zhu, S Alseekh, F Scossa, L Perez de Souza, M Borghi, ... Plant Physiology 194 (3), 1705-1721, 2024 | 1* | 2024 |
| Computational approaches that aid annotation in metabolomics LP de Souza, T Naake, AR Fernie Trends in Plant Science 27 (10), 1077-1078, 2022 | 1 | 2022 |
