| Multicanonical MCMC for sampling rare events: an illustrative review Y Iba, N Saito, A Kitajima Annals of the Institute of Statistical Mathematics 66, 611-645, 2014 | 36 | 2014 |
| Theoretical analysis of discreteness-induced transition in autocatalytic reaction dynamics N Saito, K Kaneko Physical Review E 91 (2), 022707, 2015 | 32 | 2015 |
| Multicanonical sampling of rare events in random matrices N Saito, Y Iba, K Hukushima Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 82 (3 …, 2010 | 24 | 2010 |
| Three-dimensional morphodynamic simulations of macropinocytic cups N Saito, S Sawai Iscience 24 (10), 2021 | 19 | 2021 |
| Comparative mapping of crawling-cell morphodynamics in deep learning-based feature space D Imoto, N Saito, A Nakajima, G Honda, M Ishida, T Sugita, S Ishihara, ... PLoS computational biology 17 (8), e1009237, 2021 | 19 | 2021 |
| Baldwin effect under multipeaked fitness landscapes: phenotypic fluctuation accelerates evolutionary rate N Saito, S Ishihara, K Kaneko Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (5 …, 2013 | 19 | 2013 |
| Symbiotic cell differentiation and cooperative growth in multicellular aggregates JF Yamagishi, N Saito, K Kaneko PLoS computational biology 12 (10), e1005042, 2016 | 18 | 2016 |
| Robustness leads close to the edge of chaos in coupled map networks: toward the understanding of biological networks N Saito, M Kikuchi New Journal of Physics 15 (5), 053037, 2013 | 16 | 2013 |
| Embedding dual function into molecular motors through collective motion N Saito, K Kaneko Scientific reports 7 (1), 44288, 2017 | 13 | 2017 |
| Probability of graphs with large spectral gap by multicanonical Monte Carlo N Saito, Y Iba Computer Physics Communications 182 (1), 223-225, 2011 | 13 | 2011 |
| Microtopographical guidance of macropinocytic signaling patches G Honda, N Saito, T Fujimori, H Hashimura, MJ Nakamura, A Nakajima, ... Proceedings of the National Academy of Sciences 118 (50), e2110281118, 2021 | 12 | 2021 |
| Adaptation of metabolite leakiness leads to symbiotic chemical exchange and to a resilient microbial ecosystem JF Yamagishi, N Saito, K Kaneko PLOS Computational Biology 17 (6), e1009143, 2021 | 12 | 2021 |
| Advantage of leakage of essential metabolites for cells JF Yamagishi, N Saito, K Kaneko Physical Review Letters 124 (4), 048101, 2020 | 12 | 2020 |
| Motif Analysis for Small-Number Effects in Chemical Reaction Dynamics N Saito, Y Sughiyama, K Kaneko The Journal of Chemical Physics 145 (9), 094111, 2016 | 10 | 2016 |
| Intercellular exchange of Wnt ligands reduces cell population heterogeneity during embryogenesis Y Hatakeyama, N Saito, Y Mii, R Takada, T Shinozuka, T Takemoto, ... Nature Communications 14 (1), 1924, 2023 | 6 | 2023 |
| Evolution of genetic redundancy: the relevance of complexity in genotype–phenotype mapping N Saito, S Ishihara, K Kaneko New Journal of Physics 16 (6), 063013, 2014 | 6 | 2014 |
| Active deformable cells undergo cell shape transition associated with percolation of topological defects N Saito, S Ishihara arXiv preprint arXiv:2303.03580, 2023 | 3 | 2023 |
| A deep learning approach for morphological feature extraction based on variational auto-encoder: an application to mandible shape M Tsutsumi, N Saito, D Koyabu, C Furusawa NPJ systems biology and applications 9 (1), 30, 2023 | 2 | 2023 |
| Rare-event sampling analysis uncovers the fitness landscape of the genetic code Y Omachi, N Saito, C Furusawa PLOS Computational Biology 19 (4), e1011034, 2023 | 2 | 2023 |
| Microbial Potlatch: Cell-level adaptation of leakiness of metabolites leads to resilient symbiosis among diverse cells JF Yamagishi, N Saito, K Kaneko bioRxiv, 2020.11. 06.370924, 2020 | 1 | 2020 |
