| WGCNA: an R package for weighted correlation network analysis P Langfelder, S Horvath BMC bioinformatics 9 (1), 1-13, 2008 | 21218 | 2008 |
| Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R P Langfelder, B Zhang, S Horvath Bioinformatics 24 (5), 719-720, 2008 | 2105 | 2008 |
| Fast R functions for robust correlations and hierarchical clustering P Langfelder, S Horvath Journal of statistical software 46 (11), 2012 | 1195 | 2012 |
| Is my network module preserved and reproducible? P Langfelder, R Luo, MC Oldham, S Horvath PLoS computational biology 7 (1), e1001057, 2011 | 978 | 2011 |
| Eigengene networks for studying the relationships between co-expression modules P Langfelder, S Horvath BMC systems biology 1, 1-17, 2007 | 901 | 2007 |
| Functional organization of the transcriptome in human brain MC Oldham, G Konopka, K Iwamoto, P Langfelder, T Kato, S Horvath, ... Nature neuroscience 11 (11), 1271-1282, 2008 | 827 | 2008 |
| Aging effects on DNA methylation modules in human brain and blood tissue S Horvath, Y Zhang, P Langfelder, RS Kahn, MPM Boks, K van Eijk, ... Genome biology 13 (10), 1-18, 2012 | 726 | 2012 |
| Comparison of co-expression measures: mutual information, correlation, and model based indices L Song, P Langfelder, S Horvath BMC bioinformatics 13 (1), 1-21, 2012 | 526 | 2012 |
| Weighted gene coexpression network analysis: state of the art W Zhao, P Langfelder, T Fuller, J Dong, A Li, S Hovarth Journal of biopharmaceutical statistics 20 (2), 281-300, 2010 | 391 | 2010 |
| Integrated genomics and proteomics define huntingtin CAG length–dependent networks in mice P Langfelder, JP Cantle, D Chatzopoulou, N Wang, F Gao, I Al-Ramahi, ... Nature neuroscience 19 (4), 623-633, 2016 | 388 | 2016 |
| A systems-level analysis of the peripheral nerve intrinsic axonal growth program V Chandran, G Coppola, H Nawabi, T Omura, R Versano, EA Huebner, ... Neuron 89 (5), 956-970, 2016 | 379 | 2016 |
| Elevated TREM2 gene dosage reprograms microglia responsivity and ameliorates pathological phenotypes in Alzheimer’s disease models CYD Lee, A Daggett, X Gu, LL Jiang, P Langfelder, X Li, N Wang, Y Zhao, ... Neuron 97 (5), 1032-1048. e5, 2018 | 370 | 2018 |
| Strategies for aggregating gene expression data: the collapseRows R function JA Miller, C Cai, P Langfelder, DH Geschwind, SM Kurian, DR Salomon, ... BMC bioinformatics 12 (1), 1-13, 2011 | 345 | 2011 |
| When is hub gene selection better than standard meta-analysis? P Langfelder, PS Mischel, S Horvath PloS one 8 (4), e61505, 2013 | 332 | 2013 |
| Genetic analysis of DNA methylation and gene expression levels in whole blood of healthy human subjects KR van Eijk, S de Jong, MPM Boks, T Langeveld, F Colas, JH Veldink, ... BMC genomics 13, 1-13, 2012 | 277 | 2012 |
| Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels S Horvath, P Langfelder, S Kwak, J Aaronson, J Rosinski, TF Vogt, ... Aging (Albany NY) 8 (7), 1485, 2016 | 240 | 2016 |
| Weighted gene co-expression network analysis of the peripheral blood from Amyotrophic Lateral Sclerosis patients CGJ Saris, S Horvath, PWJ van Vught, MA van Es, HM Blauw, TF Fuller, ... BMC genomics 10 (1), 405, 2009 | 186 | 2009 |
| Random generalized linear model: a highly accurate and interpretable ensemble predictor L Song, P Langfelder, S Horvath BMC bioinformatics 14 (1), 5, 2013 | 163 | 2013 |
| Network methods for describing sample relationships in genomic datasets: application to Huntington’s disease MC Oldham, P Langfelder, S Horvath BMC systems biology 6 (1), 63, 2012 | 154 | 2012 |
| Molecular classifiers for acute kidney transplant rejection in peripheral blood by whole genome gene expression profiling SM Kurian, AN Williams, T Gelbart, D Campbell, TS Mondala, SR Head, ... American Journal of Transplantation 14 (5), 1164-1172, 2014 | 134 | 2014 |
