| Finding the genomic basis of local adaptation: pitfalls, practical solutions, and future directions S Hoban, JL Kelley, KE Lotterhos, MF Antolin, G Bradburd, DB Lowry, ... The American Naturalist 188 (4), 379-397, 2016 | 412 | 2016 |
| Computer simulations: tools for population and evolutionary genetics S Hoban, G Bertorelle, OE Gaggiotti Nature Reviews Genetics 13 (2), 110-122, 2012 | 247 | 2012 |
| Breaking RAD: An evaluation of the utility of restriction site‐associated DNA sequencing for genome scans of adaptation DB Lowry, S Hoban, JL Kelley, KE Lotterhos, LK Reed, MF Antolin, ... Molecular ecology resources 17 (2), 142-152, 2017 | 231 | 2017 |
| Bringing genetic diversity to the forefront of conservation policy and management SM Hoban, HC Hauffe, S Pérez-Espona, JW Arntzen, G Bertorelle, J Bryja, ... Conservation Genetics Resources 5 (2), 593-598, 2013 | 85 | 2013 |
| Comparative evaluation of potential indicators and temporal sampling protocols for monitoring genetic erosion S Hoban, JA Arntzen, MW Bruford, JA Godoy, AR Hoelzel, G Segelbacher, ... Evolutionary Applications, 2014 | 84 | 2014 |
| Range‐wide distribution of genetic diversity in the North American tree Juglans cinerea: a product of range shifts, not ecological marginality or recent population … SM Hoban, DS Borkowski, SL Brosi, TIMS McCLEARY, LM Thompson, ... Molecular Ecology 19 (22), 4876-4891, 2010 | 83 | 2010 |
| Optimal sampling of seeds from plant populations for ex-situ conservation of genetic biodiversity, considering realistic population structure S Hoban, S Schlarbaum Biological Conservation 177, 90-99, 2014 | 80 | 2014 |
| Guidelines for planning genomic assessment and monitoring of locally adaptive variation to inform species conservation SP Flanagan, BR Forester, EK Latch, SN Aitken, S Hoban Evolutionary applications 11 (7), 1035-1052, 2018 | 75 | 2018 |
| An overview of the utility of population simulation software in molecular ecology S Hoban Molecular ecology 23 (10), 2383-2401, 2014 | 69 | 2014 |
| Geographically extensive hybridization between the forest trees American butternut and Japanese walnut SM Hoban, TS McCleary, SE Schlarbaum, J Romero-Severson Biology Letters 5 (3), 324-327, 2009 | 63 | 2009 |
| The number of markers and samples needed for detecting bottlenecks under realistic scenarios, with and without recovery: a simulation‐based study SM Hoban, OE Gaggiotti, G Bertorelle Molecular ecology 22 (13), 3444-3450, 2013 | 57 | 2013 |
| Sample Planning Optimization Tool for conservation and population Genetics (SPOTG): a software for choosing the appropriate number of markers and samples S Hoban, O Gaggiotti, G Bertorelle Methods in Ecology and Evolution 4 (3), 299-303, 2013 | 56 | 2013 |
| Differentiation measures for conservation genetics L Jost, F Archer, S Flanagan, O Gaggiotti, S Hoban, E Latch Evolutionary Applications 11 (7), 1139-1148, 2018 | 54 | 2018 |
| Responsible RAD: Striving for best practices in population genomic studies of adaptation DB Lowry, S Hoban, JL Kelley, KE Lotterhos, LK Reed, MF Antolin, ... Molecular ecology resources 17 (3), 366-369, 2017 | 43 | 2017 |
| Ex situ seed collections will benefit from considering spatial sampling design and species’ reproductive biology S Hoban, A Strand Biological Conservation 187, 182-191, 2015 | 42 | 2015 |
| Thirteen nuclear microsatellite loci for butternut (Juglans cinerea L.) S Hoban, R Anderson, TIM McCleary, S Schlarbaum, ... Molecular Ecology Resources 8 (3), 643-646, 2008 | 39 | 2008 |
| Human‐impacted landscapes facilitate hybridization between a native and an introduced tree SM Hoban, TS McCleary, SE Schlarbaum, SL Anagnostakis, ... Evolutionary Applications, 2012 | 35 | 2012 |
| Ice ages leave genetic diversity ‘hotspots’ in Europe but not in Eastern North America CY Lumibao, SM Hoban, J McLachlan Ecology Letters 20 (11), 1459-1468, 2017 | 28 | 2017 |
| Quantitative evaluation of hybridization and the impact on biodiversity conservation AM van Wyk, DL Dalton, S Hoban, MW Bruford, IRM Russo, C Birss, ... Ecology and Evolution 7 (1), 320-330, 2017 | 26 | 2017 |
| High variance in reproductive success generates a false signature of a genetic bottleneck in populations of constant size: a simulation study SM Hoban, M Mezzavilla, OE Gaggiotti, A Benazzo, C Van Oosterhout, ... BMC bioinformatics 14 (1), 1-10, 2013 | 25 | 2013 |
Jeanne Romero-SeversonUniversity of Notre DameПотвърден имейл адрес: nd.edu
