| Expression Atlas update—an integrated database of gene and protein expression in humans, animals and plants R Petryszak, M Keays, YA Tang, NA Fonseca, E Barrera, T Burdett, ... Nucleic acids research 44 (D1), D746-D752, 2016 | 635 | 2016 |
| 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 | 619 | 2016 |
| An automated pipeline for high-throughput label-free quantitative proteomics H Weisser, S Nahnsen, J Grossmann, L Nilse, A Quandt, H Brauer, ... Journal of proteome research 12 (4), 1628-1644, 2013 | 181 | 2013 |
| Prediction of colorectal cancer diagnosis based on circulating plasma proteins S Surinova, M Choi, S Tao, PJ Schüffler, CY Chang, T Clough, K Vysloužil, ... EMBO molecular medicine 7 (9), 1166-1178, 2015 | 101 | 2015 |
| Improving GENCODE reference gene annotation using a high-stringency proteogenomics workflow JC Wright, J Mudge, H Weisser, MP Barzine, JM Gonzalez, A Brazma, ... Nature Communications 7 (1), 11778, 2016 | 83 | 2016 |
| Dynamic phosphoproteomics reveals TORC1-dependent regulation of yeast nucleotide and amino acid biosynthesis AP Oliveira, C Ludwig, M Zampieri, H Weisser, R Aebersold, U Sauer Science signaling 8 (374), rs4-rs4, 2015 | 71 | 2015 |
| A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry S Wein, B Andrews, T Sachsenberg, H Santos-Rosa, O Kohlbacher, ... Nature communications 11 (1), 926, 2020 | 67 | 2020 |
| Streptococcus pyogenes in human plasma: adaptive mechanisms analyzed by mass spectrometry-based proteomics J Malmström, C Karlsson, P Nordenfelt, R Ossola, H Weisser, A Quandt, ... Journal of Biological Chemistry 287 (2), 1415-1425, 2012 | 51 | 2012 |
| Targeted feature detection for data-dependent shotgun proteomics H Weisser, JS Choudhary Journal of proteome research 16 (8), 2964-2974, 2017 | 47 | 2017 |
| Genome-wide investigation of gene-cancer associations for the prediction of novel therapeutic targets in oncology A Bazaga, D Leggate, H Weisser Scientific reports 10 (1), 10787, 2020 | 20 | 2020 |
| Perspectives on ENCODE F Abascal, R Acosta, NJ Addleman, J Adrian, V Afzal, B Aken, JA Akiyama Nature 583 (7818), 693-699, 2020 | 16 | 2020 |
| Evaluation of a dual isolation width acquisition method for isobaric labeling ratio decompression TI Roumeliotis, H Weisser, JS Choudhary Journal of proteome research 18 (3), 1433-1440, 2018 | 16 | 2018 |
| Flexible data analysis pipeline for high-confidence proteogenomics H Weisser, JC Wright, JM Mudge, P Gutenbrunner, JS Choudhary Journal of Proteome Research 15 (12), 4686-4695, 2016 | 15 | 2016 |
| Using synthetic peptides to benchmark peptide identification software and search parameters for MS/MS data analysis A Quandt, L Espona, A Balasko, H Weisser, MY Brusniak, P Kunszt, ... EuPA Open Proteomics 5, 21-31, 2014 | 15 | 2014 |
| Phosphorylation-Dependent assembly of a 14-3-3 mediated signaling complex during Red blood cell invasion by plasmodium falciparum merozoites KR More, I Kaur, Q Giai Gianetto, BM Invergo, T Chaze, R Jain, C Huon, ... MBio 11 (4), 10.1128/mbio. 01287-20, 2020 | 14 | 2020 |
| Novel insights into quantitative proteomics from an innovative bottom-up simple light isotope metabolic (bSLIM) Labeling data processing strategy N Sénécaut, G Alves, H Weisser, L Lignières, S Terrier, L Yang-Crosson, ... Journal of proteome research 20 (3), 1476-1487, 2021 | 7 | 2021 |
| OpenMS for open source analysis of mass spectrometric data O Alka, T Sachsenberg, L Bichmann, J Pfeuffer, H Weisser, S Wein, ... PeerJ Preprints 7, e27766v1, 2019 | 4 | 2019 |
| Only slight impact of predicted replicative capacity for therapy response prediction H Weisser, A Altmann, S Sierra, F Incardona, D Struck, A Sönnerborg, ... PLoS One 5 (2), e9044, 2010 | 2 | 2010 |
| OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data J Pfeuffer, C Bielow, S Wein, K Jeong, E Netz, A Walter, O Alka, L Nilse, ... Nature Methods, 1-3, 2024 | 1 | 2024 |
| Predicting genes associated with RNA methylation pathways using machine learning G Tsagkogeorga, H Santos-Rosa, A Alendar, D Leggate, O Rausch, ... Communications Biology 5 (1), 868, 2022 | 1 | 2022 |
