ITS2 database V: Twice as much MJ Ankenbrand, A Keller, M Wolf, J Schultz, F Förster Molecular Biology and Evolution 32 (11), 3030-3032, 2015 | 261 | 2015 |
Evaluating multiplexed next‐generation sequencing as a method in palynology for mixed pollen samples A Keller, N Danner, G Grimmer, M Ankenbrand, K Ohe, W Ohe, S Rost, ... Plant Biology 17 (2), 558-566, 2015 | 232 | 2015 |
Increased efficiency in identifying mixed pollen samples by meta-barcoding with a dual-indexing approach W Sickel, MJ Ankenbrand, G Grimmer, A Holzschuh, S Härtel, J Lanzen, ... BMC ecology 15, 1-9, 2015 | 214 | 2015 |
Open Science principles for accelerating trait-based science across the Tree of Life RV Gallagher, DS Falster, BS Maitner, R Salguero-Gómez, V Vandvik, ... Nature ecology & evolution 4 (3), 294-303, 2020 | 199 | 2020 |
Compensatory base changes in ITS2 secondary structures correlate with the biological species concept despite intragenomic variability in ITS2 sequences–a proof of concept M Wolf, S Chen, J Song, M Ankenbrand, T Müller PloS one 8 (6), e66726, 2013 | 145 | 2013 |
bcgTree: automatized phylogenetic tree building from bacterial core genomes MJ Ankenbrand, A Keller Genome 59 (10), 783-791, 2016 | 125 | 2016 |
Venus flytrap carnivorous lifestyle builds on herbivore defense strategies F Bemm, D Becker, C Larisch, I Kreuzer, M Escalante-Perez, WX Schulze, ... Genome research 26 (6), 812-825, 2016 | 108 | 2016 |
AliTV—interactive visualization of whole genome comparisons MJ Ankenbrand, S Hohlfeld, T Hackl, F Förster PeerJ Computer Science 3, e116, 2017 | 75 | 2017 |
Genomes of the Venus flytrap and close relatives unveil the roots of plant carnivory G Palfalvi, T Hackl, N Terhoeven, TF Shibata, T Nishiyama, ... Current biology 30 (12), 2312-2320. e5, 2020 | 66 | 2020 |
A systematic comparison of chloroplast genome assembly tools JA Freudenthal, S Pfaff, N Terhoeven, A Korte, MJ Ankenbrand, F Förster Genome Biology 21, 1-21, 2020 | 65* | 2020 |
Novel integrative elements and genomic plasticity in ocean ecosystems T Hackl, R Laurenceau, MJ Ankenbrand, C Bliem, Z Cariani, E Thomas, ... Cell 186 (1), 47-62, 2023 | 54 | 2023 |
Chronic exposure to the pesticide flupyradifurone can lead to premature onset of foraging in honeybees (Apis mellifera) H Hesselbach, J Seeger, F Schilcher, M Ankenbrand, R Scheiner Journal of Applied Ecology, 2019 | 52 | 2019 |
Linking pollen foraging of megachilid bees to their nest bacterial microbiota A Voulgari‐Kokota, MJ Ankenbrand, G Grimmer, I Steffan‐Dewenter, ... Ecology and Evolution 9 (18), 10788-10800, 2019 | 42 | 2019 |
Standard methods for pollen research MG Campos, O Anjos, M Chica, P Campoy, J Nozkova, N Almaraz-Abarca, ... Journal of Apicultural Research 60 (4), 1-109, 2021 | 38 | 2021 |
BCdatabaser: on-the-fly reference database creation for (meta-) barcoding A Keller, S Hohlfeld, A Kolter, J Schultz, B Gemeinholzer, MJ Ankenbrand Bioinformatics 36 (8), 2630-2631, 2020 | 38 | 2020 |
Wild bees and their nests host Paenibacillus bacteria with functional potential of avail A Keller, A Brandel, MC Becker, R Balles, UR Abdelmohsen, ... Microbiome 6, 1-10, 2018 | 35 | 2018 |
Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI MJ Ankenbrand, L Shainberg, M Hock, D Lohr, LM Schreiber BMC Medical Imaging 21 (1), 1-8, 2021 | 31 | 2021 |
Gggenomes: a grammar of graphics for comparative genomics T Hackl, MJ Ankenbrand, B van Adrichem R package version 0.9 5, 2022 | 27 | 2022 |
chloroExtractor: extraction and assembly of the chloroplast genome from whole genome shotgun data MJ Ankenbrand, S Pfaff, N Terhoeven, M Qureischi, M Gündel, CL Weiß, ... The Journal of Open Source Software, 2018 | 26 | 2018 |
Deep learning‐based cardiac cine segmentation: Transfer learning application to 7T ultrahigh‐field MRI MJ Ankenbrand, D Lohr, W Schlötelburg, T Reiter, T Wech, LM Schreiber Magnetic Resonance in Medicine 86 (4), 2179-2191, 2021 | 25 | 2021 |