| Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes A Krogh, BÈ Larsson, G Von Heijne, ELL Sonnhammer Journal of molecular biology 305 (3), 567-580, 2001 | 9404 | 2001 |
| SignalP 4.0: discriminating signal peptides from transmembrane regions TN Petersen, S Brunak, G Von Heijne, H Nielsen Nature methods 8 (10), 785, 2011 | 7263 | 2011 |
| Improved prediction of signal peptides: SignalP 3.0 JD Bendtsen, H Nielsen, G von Heijne, S Brunak Journal of molecular biology 340 (4), 783-795, 2004 | 7195 | 2004 |
| Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. H Nielsen, J Engelbrecht, S Brunak, G von Heijne Protein engineering 10 (1), 1-6, 1997 | 6195 | 1997 |
| A new method for predicting signal sequence cleavage sites G Von Heijne Nucleic acids research 14 (11), 4683-4690, 1986 | 4807 | 1986 |
| Predicting subcellular localization of proteins based on their N-terminal amino acid sequence O Emanuelsson, H Nielsen, S Brunak, G Von Heijne Journal of molecular biology 300 (4), 1005-1016, 2000 | 4358 | 2000 |
| Tissue-based map of the human proteome M Uhlén, L Fagerberg, BM Hallström, C Lindskog, P Oksvold, ... Science 347 (6220), 1260419, 2015 | 3751 | 2015 |
| Locating proteins in the cell using TargetP, SignalP and related tools O Emanuelsson, S Brunak, G Von Heijne, H Nielsen Nature protocols 2 (4), 953, 2007 | 3098 | 2007 |
| A hidden Markov model for predicting transmembrane helices in protein sequences. ELL Sonnhammer, G Von Heijne, A Krogh Ismb 6, 175-182, 1998 | 2484 | 1998 |
| Patterns of amino acids near signal‐sequence cleavage sites G Von Heijne European journal of biochemistry 133 (1), 17-21, 1983 | 2300 | 1983 |
| Signal sequences: the limits of variation G Von Heijne Journal of molecular biology 184 (1), 99-105, 1985 | 2287 | 1985 |
| Membrane protein structure prediction: hydrophobicity analysis and the positive-inside rule G Von Heijne Journal of molecular biology 225 (2), 487-494, 1992 | 1893 | 1992 |
| ChloroP, a neural network-based method for predicting chloroplast transit peptides and their cleavage sites O Emanuelsson, H Nielsen, G Von Heijne Protein Science 8 (5), 978-984, 1999 | 1762 | 1999 |
| Genome‐wide analysis of integral membrane proteins from eubacterial, archaean, and eukaryotic organisms E Wallin, GV Heijne Protein Science 7 (4), 1029-1038, 1998 | 1727 | 1998 |
| TopPred II: an improved software for membrane protein structure predictions MG Claros, G Heijne Bioinformatics 10 (6), 685-686, 1994 | 1250 | 1994 |
| Prediction of transmembrane alpha-helices in prokaryotic membrane proteins: the dense alignment surface method. M Cserzö, E Wallin, I Simon, G Von Heijne, A Elofsson Protein engineering 10 (6), 673-676, 1997 | 1230 | 1997 |
| Domain structure of mitochondrial and chloroplast targeting peptides G von HEIJNE, J STEPPUHN, RG Herrmann European Journal of Biochemistry 180 (3), 535-545, 1989 | 1217 | 1989 |
| The signal peptide G von Heijne The Journal of membrane biology 115 (3), 195-201, 1990 | 1088 | 1990 |
| Machine learning approaches for the prediction of signal peptides and other protein sorting signals H Nielsen, S Brunak, G von Heijne Protein engineering 12 (1), 3-9, 1999 | 1077* | 1999 |
| Prediction of lipoprotein signal peptides in Gram‐negative bacteria AS Juncker, H Willenbrock, G Von Heijne, S Brunak, H Nielsen, A Krogh Protein Science 12 (8), 1652-1662, 2003 | 1030 | 2003 |
