| Detecting novel associations in large data sets DN Reshef, YA Reshef, HK Finucane, SR Grossman, G McVean, ... science 334 (6062), 1518-1524, 2011 | 3225 | 2011 |
| Partitioning heritability by functional annotation using genome-wide association summary statistics HK Finucane, B Bulik-Sullivan, A Gusev, G Trynka, Y Reshef, PR Loh, ... Nature genetics 47 (11), 1228-1235, 2015 | 2327 | 2015 |
| Reference-based phasing using the Haplotype Reference Consortium panel PR Loh, P Danecek, PF Palamara, C Fuchsberger, Y A Reshef, ... Nature genetics 48 (11), 1443-1448, 2016 | 1621 | 2016 |
| Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types HK Finucane, YA Reshef, V Anttila, K Slowikowski, A Gusev, A Byrnes, ... Nature genetics 50 (4), 621-629, 2018 | 934 | 2018 |
| Sequential regulatory activity prediction across chromosomes with convolutional neural networks DR Kelley, YA Reshef, M Bileschi, D Belanger, CY McLean, J Snoek Genome research 28 (5), 739-750, 2018 | 455 | 2018 |
| Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights A Gusev, N Mancuso, H Won, M Kousi, HK Finucane, Y Reshef, L Song, ... Nature genetics 50 (4), 538-548, 2018 | 448 | 2018 |
| Insights into clonal haematopoiesis from 8,342 mosaic chromosomal alterations PR Loh, G Genovese, RE Handsaker, HK Finucane, YA Reshef, ... Nature 559 (7714), 350-355, 2018 | 345 | 2018 |
| Functionally informed fine-mapping and polygenic localization of complex trait heritability O Weissbrod, F Hormozdiari, C Benner, R Cui, J Ulirsch, S Gazal, ... Nature genetics 52 (12), 1355-1363, 2020 | 248 | 2020 |
| Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits F Hormozdiari, S Gazal, B Van De Geijn, HK Finucane, CJT Ju, PR Loh, ... Nature genetics 50 (7), 1041-1047, 2018 | 170 | 2018 |
| Measuring dependence powerfully and equitably YA Reshef, DN Reshef, HK Finucane, PC Sabeti, M Mitzenmacher Journal of Machine Learning Research 17 (211), 1-63, 2016 | 112 | 2016 |
| Equitability analysis of the maximal information coefficient, with comparisons D Reshef, Y Reshef, M Mitzenmacher, P Sabeti arXiv preprint arXiv:1301.6314, 2013 | 105 | 2013 |
| Estimating cross‐population genetic correlations of causal effect sizes KJ Galinsky, YA Reshef, HK Finucane, PR Loh, N Zaitlen, NJ Patterson, ... Genetic epidemiology 43 (2), 180-188, 2019 | 77 | 2019 |
| Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk YA Reshef, HK Finucane, DR Kelley, A Gusev, D Kotliar, JC Ulirsch, ... Nature genetics 50 (10), 1483-1493, 2018 | 64 | 2018 |
| An empirical study of the maximal and total information coefficients and leading measures of dependence DN Reshef, YA Reshef, PC Sabeti, M Mitzenmacher | 53 | 2018 |
| Cleaning up the record on the maximal information coefficient and equitability DN Reshef, YA Reshef, M Mitzenmacher, PC Sabeti Proceedings of the National Academy of Sciences 111 (33), E3362-E3363, 2014 | 46 | 2014 |
| Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics YA Reshef, L Rumker, JB Kang, A Nathan, I Korsunsky, S Asgari, ... Nature biotechnology 40 (3), 355-363, 2022 | 41 | 2022 |
| Cellular deconstruction of inflamed synovium defines diverse inflammatory phenotypes in rheumatoid arthritis F Zhang, AH Jonsson, A Nathan, K Wei, N Millard, Q Xiao, ... BioRxiv, 2022.02. 25.481990, 2022 | 34 | 2022 |
| Annotations capturing cell type-specific TF binding explain a large fraction of disease heritability B van de Geijn, H Finucane, S Gazal, F Hormozdiari, T Amariuta, X Liu, ... Human molecular genetics 29 (7), 1057-1067, 2020 | 21 | 2020 |
| Comparing pedigree graphs B Kirkpatrick, Y Reshef, H Finucane, H Jiang, B Zhu, RM Karp Journal of Computational Biology 19 (9), 998-1014, 2012 | 18* | 2012 |
| An empirical study of leading measures of dependence DN Reshef, YA Reshef, PC Sabeti, MM Mitzenmacher arXiv preprint arXiv:1505.02214, 2015 | 16 | 2015 |
