| Genetic effects on gene expression across human tissues GTEx Consortium Lead analysts: Aguet François 1 Brown Andrew A. 2 3 4 Castel ... Nature 550 (7675), 204-213, 2017 | 3639 | 2017 |
| The GTEx Consortium atlas of genetic regulatory effects across human tissues GTEx Consortium Science 369 (6509), 1318-1330, 2020 | 3237 | 2020 |
| Understanding mechanisms underlying human gene expression variation with RNA sequencing JK Pickrell, JC Marioni, AA Pai, JF Degner, BE Engelhardt, E Nkadori, ... Nature 464 (7289), 768-772, 2010 | 1572 | 2010 |
| The impact of sex on gene expression across human tissues M Oliva, M Muñoz-Aguirre, S Kim-Hellmuth, V Wucher, ADH Gewirtz, ... Science 369 (6509), eaba3066, 2020 | 850 | 2020 |
| Dynamic landscape and regulation of RNA editing in mammals MH Tan, Q Li, R Shanmugam, R Piskol, J Kohler, AN Young, KI Liu, ... Nature 550 (7675), 249-254, 2017 | 602 | 2017 |
| The human tumor atlas network: charting tumor transitions across space and time at single-cell resolution O Rozenblatt-Rosen, A Regev, P Oberdoerffer, T Nawy, A Hupalowska, ... Cell 181 (2), 236-249, 2020 | 454 | 2020 |
| How algorithmic confounding in recommendation systems increases homogeneity and decreases utility AJB Chaney, BM Stewart, BE Engelhardt Proceedings of the 12th ACM conference on recommender systems, 224-232, 2018 | 399 | 2018 |
| A quantitative proteome map of the human body L Jiang, M Wang, S Lin, R Jian, X Li, J Chan, G Dong, H Fang, ... Cell 183 (1), 269-283. e19, 2020 | 366 | 2020 |
| Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder JAMA Psychiatry, 10.1001/jamapsychiatry.2015.0554, 2015 | 335* | 2015 |
| Measuring the predictability of life outcomes with a scientific mass collaboration MJ Salganik, I Lundberg, AT Kindel, CE Ahearn, K Al-Ghoneim, ... Proceedings of the National Academy of Sciences 117 (15), 8398-8403, 2020 | 327 | 2020 |
| Computational approaches to fMRI analysis JD Cohen, N Daw, B Engelhardt, U Hasson, K Li, Y Niv, KA Norman, ... Nature neuroscience 20 (3), 304-313, 2017 | 249 | 2017 |
| Protein molecular function prediction by Bayesian phylogenomics BE Engelhardt, MI Jordan, KE Muratore, SE Brenner PLoS computational biology 1 (5), e45, 2005 | 245 | 2005 |
| ASPEN-Automating space mission operations using automated planning and scheduling S Chien, G Rabideau, R Knight, R Sherwood, B Engelhardt, D Mutz, ... SpaceOps 2000, 2000 | 245 | 2000 |
| A statin-dependent QTL for GATM expression is associated with statin-induced myopathy LM Mangravite, BE Engelhardt, MW Medina, JD Smith, CD Brown, ... Nature 502 (7471), 377-380, 2013 | 236 | 2013 |
| A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units N Prasad, LF Cheng, C Chivers, M Draugelis, BE Engelhardt Uncertainty in Artificial Intelligence, 2017 | 232 | 2017 |
| Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements W Zhang, TD Spector, P Deloukas, JT Bell, BE Engelhardt Genome Biology 16 (14), 2015 | 214 | 2015 |
| Meta-analysis of genome-wide association studies for extraversion: findings from the genetics of personality consortium SM Van den Berg, MHM de Moor, KJH Verweij, RF Krueger, M Luciano, ... Behavior genetics 46, 170-182, 2016 | 211 | 2016 |
| Integrative modeling of eQTLs and cis-regulatory elements suggests mechanisms underlying cell type specificity of eQTLs CD Brown, LM Mangravite, BE Engelhardt PLoS genetics 9 (8), e1003649, 2013 | 206 | 2013 |
| Analysis of population structure: a unifying framework and novel methods based on sparse factor analysis BE Engelhardt, M Stephens PLoS genetics 6 (9), e1001117, 2010 | 204 | 2010 |
| Co-expression networks reveal the tissue-specific regulation of transcription and splicing A Saha, Y Kim, ADH Gewirtz, B Jo, C Gao, IC McDowell, BE Engelhardt, ... Genome Research 27 (11), 1843-1858, 2017 | 183 | 2017 |
Steve ChienJPL Fellow, Jet Propulsion Laboratory, Calif. Inst. Tech.jpl.nasa.gov의 이메일 확인됨
