| An atlas of genetic influences on human blood metabolites SY Shin, EB Fauman, AK Petersen, J Krumsiek, R Santos, J Huang, ... Nature genetics 46 (6), 543-550, 2014 | 1245 | 2014 |
| Co-clustering of biological networks and gene expression data D Hanisch, A Zien, R Zimmer, T Lengauer Bioinformatics 18 (suppl_1), S145-S154, 2002 | 416 | 2002 |
| ProMiner: rule-based protein and gene entity recognition D Hanisch, K Fundel, HT Mevissen, R Zimmer, J Fluck BMC bioinformatics 6, 1-9, 2005 | 407 | 2005 |
| From hype to reality: data science enabling personalized medicine H Fröhlich, R Balling, N Beerenwinkel, O Kohlbacher, S Kumar, ... BMC medicine 16, 1-15, 2018 | 383 | 2018 |
| Mapping of 79 loci for 83 plasma protein biomarkers in cardiovascular disease L Folkersen, E Fauman, M Sabater-Lleal, RJ Strawbridge, M Frånberg, ... PLoS genetics 13 (4), e1006706, 2017 | 225 | 2017 |
| Playing biology's name game: identifying protein names in scientific text D Hanisch, J Fluck, HT Mevissen, R Zimmer Biocomputing 2003, 403-414, 2002 | 173 | 2002 |
| A genome-wide association study of diabetic kidney disease in subjects with type 2 diabetes NR Van Zuydam, E Ahlqvist, N Sandholm, H Deshmukh, NW Rayner, ... Diabetes 67 (7), 1414-1427, 2018 | 159 | 2018 |
| HDAC inhibitors attenuate the development of hypersensitivity in models of neuropathic pain F Denk, W Huang, B Sidders, A Bithell, M Crow, J Grist, S Sharma, ... Pain® 154 (9), 1668-1679, 2013 | 155 | 2013 |
| Causal reasoning on biological networks: interpreting transcriptional changes L Chindelevitch, D Ziemek, A Enayetallah, R Randhawa, B Sidders, ... Bioinformatics 28 (8), 1114-1121, 2012 | 151 | 2012 |
| Genome-wide association analysis of self-reported events in 6135 individuals and 252 827 controls identifies 8 loci associated with thrombosis DA Hinds, A Buil, D Ziemek, A Martinez-Perez, R Malik, L Folkersen, ... Human molecular genetics 25 (9), 1867-1874, 2016 | 135 | 2016 |
| The genetic landscape of renal complications in type 1 diabetes N Sandholm, N Van Zuydam, E Ahlqvist, T Juliusdottir, HA Deshmukh, ... Journal of the American Society of Nephrology 28 (2), 557-574, 2017 | 125 | 2017 |
| Identification of novel pheno-groups in heart failure with preserved ejection fraction using machine learning ÅK Hedman, C Hage, A Sharma, MJ Brosnan, L Buckbinder, LM Gan, ... Heart 106 (5), 342-349, 2020 | 108 | 2020 |
| New methods for joint analysis of biological networks and expression data F Sohler, D Hanisch, R Zimmer Bioinformatics 20 (10), 1517-1521, 2004 | 101 | 2004 |
| ProGeM: a framework for the prioritization of candidate causal genes at molecular quantitative trait loci D Stacey, EB Fauman, D Ziemek, BB Sun, EL Harshfield, AM Wood, ... Nucleic acids research 47 (1), e3-e3, 2019 | 93 | 2019 |
| Gene expression in chondrocytes assessed with use of microarrays T Aigner, A Zien, D Hanisch, R Zimmer JBJS 85 (suppl_2), 117-123, 2003 | 88 | 2003 |
| Genes contributing to pain sensitivity in the normal population: an exome sequencing study FMK Williams, S Scollen, D Cao, Y Memari, CL Hyde, B Zhang, B Sidders, ... PLoS genetics 8 (12), e1003095, 2012 | 72 | 2012 |
| Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data AM Smith, JR Walsh, J Long, CB Davis, P Henstock, MR Hodge, ... BMC bioinformatics 21, 1-18, 2020 | 60 | 2020 |
| An unbiased lipid phenotyping approach to study the genetic determinants of lipids and their association with coronary heart disease risk factors EL Harshfield, A Koulman, D Ziemek, L Marney, EB Fauman, DS Paul, ... Journal of Proteome Research 18 (6), 2397-2410, 2019 | 60 | 2019 |
| Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks CT Fakhry, P Choudhary, A Gutteridge, B Sidders, P Chen, D Ziemek, ... BMC bioinformatics 17, 1-15, 2016 | 50 | 2016 |
| Profiling of gene expression biomarkers as a classifier of methotrexate nonresponse in patients with rheumatoid arthritis D Plant, M Maciejewski, S Smith, N Nair, ... Arthritis & Rheumatology 71 (5), 678-684, 2019 | 48 | 2019 |
Ralf ZimmerProfessor für Informatik, LMU MünchenVerified email at ifi.lmu.de
