| Current progress and open challenges for applying deep learning across the biosciences N Sapoval, A Aghazadeh, MG Nute, DA Antunes, A Balaji, R Baraniuk, ... Nature Communications 13 (1), 1728, 2022 | 144 | 2022 |
| Species Tree Inference Methods Intended to Deal with Incomplete Lineage Sorting Are Robust to the Presence of Paralogs Z Yan, ML Smith, P Du, MW Hahn, L Nakhleh Systematic Biology, 2021 | 53* | 2021 |
| Practical aspects of phylogenetic network analysis using phylonet Z Cao, X Liu, HA Ogilvie, Z Yan, L Nakhleh BioRxiv, 746362, 2019 | 29 | 2019 |
| Maximum parsimony inference of phylogenetic networks in the presence of polyploid complexes Z Yan, Z Cao, Y Liu, HA Ogilvie, L Nakhleh Systematic Biology 71 (3), 706-720, 2022 | 14 | 2022 |
| Complexity of avian evolution revealed by family-level genomes J Stiller, S Feng, AA Chowdhury, I Rivas-González, DA Duchêne, Q Fang, ... Nature, 1-3, 2024 | 3 | 2024 |
| Species Tree Inference: A Guide to Methods and Applications PD Blischak, JM Brown, Z Cao, A Cloutier, K Cobb, AA DiGiacomo, ... Princeton University Press, 2023 | 2 | 2023 |
| Comparing Inference under the Multispecies Coalescent with and without Recombination Z Yan, HA Ogilvie, L Nakhleh Molecular Phylogenetics and Evolution 181, 107724, 2023 | 1 | 2023 |
| “Correcting” gene trees to be more like species trees frequently increases topological error Z Yan, HA Ogilvie, L Nakhleh Genome Biology and Evolution 15 (6), evad094, 2023 | | 2023 |
