| Ten-hour time-restricted eating reduces weight, blood pressure, and Atherogenic lipids in patients with metabolic syndrome MJ Wilkinson, ENC Manoogian, A Zadourian, H Lo, S Fakhouri, A Shoghi, ... Cell Metabolism 31 (1), 92-104. e5, 2020 | 704 | 2020 |
| Graph summarization with bounded error S Navlakha, R Rastogi, N Shrivastava Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 482 | 2008 |
| The power of protein interaction networks for associating genes with diseases S Navlakha, C Kingsford Bioinformatics 26 (8), 1057-1063, 2010 | 420 | 2010 |
| A neural algorithm for a fundamental computing problem S Dasgupta, CF Stevens, S Navlakha Science 358 (6364), 793-796, 2017 | 256 | 2017 |
| Predicting age from the transcriptome of human dermal fibroblasts JG Fleischer, R Schulte, HH Tsai, S Tyagi, A Ibarra, MN Shokhirev, ... Genome Biology 19 (1), 221, 2018 | 172 | 2018 |
| Algorithms in nature: the convergence of systems biology and computational thinking S Navlakha, Z Bar‐Joseph Molecular systems biology 7 (1), 546, 2011 | 160 | 2011 |
| Distributed information processing in biological and computational systems S Navlakha, Z Bar-Joseph Communications of the ACM 58 (1), 94-102, 2015 | 139 | 2015 |
| Alignment and clustering of phylogenetic markers-implications for microbial diversity studies JR White, S Navlakha, N Nagarajan, MR Ghodsi, C Kingsford, M Pop BMC bioinformatics 11 (1), 152, 2010 | 114 | 2010 |
| Network archaeology: uncovering ancient networks from present-day interactions S Navlakha, C Kingsford PLoS Comput Biol 7 (4), e1001119, 2011 | 92 | 2011 |
| Revealing biological modules via graph summarization S Navlakha, MC Schatz, C Kingsford Journal of Computational Biology 16 (2), 253-264, 2009 | 89 | 2009 |
| Decreasing-Rate Pruning Optimizes the Construction of Efficient and Robust Distributed Networks S Navlakha, AL Barth, Z Bar-Joseph PLOS Comput Biol 11 (7), e1004347, 2015 | 85 | 2015 |
| A neural data structure for novelty detection S Dasgupta, TC Sheehan, CF Stevens, S Navlakha Proceedings of the National Academy of Sciences 115 (51), 13093-13098, 2018 | 59 | 2018 |
| Link prediction for annotation graphs using graph summarization A Thor, P Anderson, L Raschid, S Navlakha, B Saha, S Khuller, XN Zhang International Semantic Web Conference, 714-729, 2011 | 53 | 2011 |
| High-resolution laser scanning reveals plant architectures that reflect universal network design principles A Conn, UV Pedmale, J Chory, S Navlakha Cell Systems 5 (1), 53-62. e3, 2017 | 49 | 2017 |
| Machine learning approaches to improve three basic plant phenotyping tasks using 3D point clouds I Ziamtsov, S Navlakha Plant Physiology, pp. 00524.2019, 2019 | 48 | 2019 |
| A Statistical Description of Plant Shoot Architecture A Conn, UV Pedmale, J Chory, CF Stevens, S Navlakha Current Biology 27 (14), 2078-2088. e3, 2017 | 44 | 2017 |
| Network Design and the Brain S Navlakha, Z Bar-Joseph, AL Barth Trends in Cognitive Sciences, 2017 | 43 | 2017 |
| Topological properties of robust biological and computational networks S Navlakha, X He, C Faloutsos, Z Bar-Joseph Journal of The Royal Society Interface 11 (96), 20140283, 2014 | 42 | 2014 |
| A network-based approach for predicting missing pathway interactions S Navlakha, A Gitter, Z Bar-Joseph PLoS Comput Biol 8 (8), e1002640-e1002640, 2012 | 42 | 2012 |
| Exploring biological network dynamics with ensembles of graph partitions. S Navlakha, C Kingsford Pacific Symposium on Biocomputing 15, 166-177, 2010 | 31 | 2010 |
