| A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: a Bayesian perspective M Foll, O Gaggiotti Genetics 180 (2), 977-993, 2008 | 2093 | 2008 |
| Genetic consequences of range expansions L Excoffier, M Foll, RJ Petit Annual Review of Ecology, Evolution, and Systematics 40, 481-501, 2009 | 1025 | 2009 |
| Robust demographic inference from genomic and SNP data L Excoffier, I Dupanloup, E Huerta-Sánchez, VC Sousa, M Foll PLoS Genet 9 (10), e1003905, 2013 | 823 | 2013 |
| Detecting loci under selection in a hierarchically structured population L Excoffier, T Hofer, M Foll Heredity 103 (4), 285-298, 2009 | 782 | 2009 |
| Approximate bayesian computation M Sunnĺker, AG Busetto, E Numminen, J Corander, M Foll, C Dessimoz PLoS Comput Biol 9 (1), e1002803, 2013 | 431 | 2013 |
| Identifying the environmental factors that determine the genetic structure of populations M Foll, O Gaggiotti Genetics 174 (2), 875-891, 2006 | 358 | 2006 |
| Fastsimcoal: a continuous-time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios L Excoffier, M Foll Bioinformatics 27 (9), 1332-1334, 2011 | 275 | 2011 |
| Disentangling the effects of evolutionary, demographic, and environmental factors influencing genetic structure of natural populations: Atlantic herring as a case study OE Gaggiotti, D Bekkevold, HBH Jřrgensen, M Foll, GR Carvalho, ... Evolution: International Journal of Organic Evolution 63 (11), 2939-2951, 2009 | 223 | 2009 |
| In defence of model‐based inference in phylogeography MA Beaumont, R Nielsen, C Robert, J Hey, O Gaggiotti, L Knowles, ... Molecular ecology 19 (3), 436-446, 2010 | 185 | 2010 |
| Enhanced AFLP genome scans detect local adaptation in high‐altitude populations of a small rodent (Microtus arvalis) MC Fischer, M Foll, L Excoffier, G Heckel Molecular ecology 20 (7), 1450-1462, 2011 | 139 | 2011 |
| SPLATCHE2: a spatially explicit simulation framework for complex demography, genetic admixture and recombination N Ray, M Currat, M Foll, L Excoffier Bioinformatics 26 (23), 2993-2994, 2010 | 134 | 2010 |
| Identification of circulating tumor DNA for the early detection of small-cell lung cancer L Fernandez-Cuesta, S Perdomo, PH Avogbe, N Leblay, TM Delhomme, ... EBioMedicine 10, 117-123, 2016 | 133 | 2016 |
| Integrative genomic profiling of large-cell neuroendocrine carcinomas reveals distinct subtypes of high-grade neuroendocrine lung tumors J George, V Walter, M Peifer, LB Alexandrov, D Seidel, F Leenders, ... Nature communications 9 (1), 1-13, 2018 | 117 | 2018 |
| Influenza virus drug resistance: a time-sampled population genetics perspective M Foll, YP Poh, N Renzette, A Ferrer-Admetlla, C Bank, H Shim, ... PLoS Genet 10 (2), e1004185, 2014 | 109 | 2014 |
| Widespread signals of convergent adaptation to high altitude in Asia and America M Foll, OE Gaggiotti, JT Daub, A Vatsiou, L Excoffier The American Journal of Human Genetics 95 (4), 394-407, 2014 | 102 | 2014 |
| Quantifying population structure using the F‐model OE Gaggiotti, M Foll Molecular Ecology Resources 10 (5), 821-830, 2010 | 93 | 2010 |
| Thinking too positive? Revisiting current methods of population genetic selection inference C Bank, GB Ewing, A Ferrer-Admettla, M Foll, JD Jensen Trends in Genetics 30 (12), 540-546, 2014 | 88 | 2014 |
| An approximate Bayesian computation approach to overcome biases that arise when using amplified fragment length polymorphism markers to study population structure M Foll, MA Beaumont, O Gaggiotti Genetics 179 (2), 927-939, 2008 | 84 | 2008 |
| WFABC: a W right–F isher ABC‐based approach for inferring effective population sizes and selection coefficients from time‐sampled data M Foll, H Shim, JD Jensen Molecular ecology resources 15 (1), 87-98, 2015 | 79 | 2015 |
| Estimating population structure from AFLP amplification intensity M Foll, MC Fischer, G Heckel, L Excoffier Molecular ecology 19 (21), 4638-4647, 2010 | 78 | 2010 |
Laurent ExcoffierInstitute of Ecology and Evolution, University of BerneVerified email at iee.unibe.ch
