| The quality of the outdoor environment influences childrens health–a cross‐sectional study of preschools M Söderström, C Boldemann, U Sahlin, F Mårtensson, A Raustorp, ... Acta paediatrica 102 (1), 83-91, 2013 | 178 | 2013 |
| Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys JR Kerr, CR Schneider, G Recchia, S Dryhurst, U Sahlin, C Dufouil, ... BMJ open 11 (8), e048025, 2021 | 103 | 2021 |
| Pollinator population size and pollination ecosystem service responses to enhancing floral and nesting resources J Häussler, U Sahlin, C Baey, HG Smith, Y Clough Ecology and evolution 7 (6), 1898-1908, 2017 | 95 | 2017 |
| Invasive plant species in the Swedish flora: developing criteria and definitions, and assessing the invasiveness of individual taxa T Tyler, T Karlsson, P Milberg, U Sahlin, S Sundberg Nordic Journal of Botany 33 (3), 300-317, 2015 | 77 | 2015 |
| Impacts of the EU's common agricultural policy “greening” reform on agricultural development, biodiversity, and ecosystem services J Hristov, Y Clough, U Sahlin, HG Smith, M Stjernman, O Olsson, ... Applied Economic Perspectives and Policy 42 (4), 716-738, 2020 | 64 | 2020 |
| Should I stay or should I go? Modelling dispersal strategies in saproxylic insects based on pheromone capture and radio telemetry: a case study on the threatened hermit beetle … GP Svensson, U Sahlin, B Brage, MC Larsson Biodiversity and conservation 20, 2883-2902, 2011 | 59 | 2011 |
| Experimental assessment of the environmental fate and effects of triazoles and benzotriazole MK Durjava, B Kolar, L Arnus, E Papa, S Kovarich, U Sahlin, ... Alternatives to Laboratory Animals 41 (1), 65-75, 2013 | 45 | 2013 |
| “This is what we don't know”: treating epistemic uncertainty in bayesian networks for risk assessment U Sahlin, I Helle, D Perepolkin Integrated Environmental Assessment and Management 17 (1), 221-232, 2021 | 37 | 2021 |
| Predictors of COVID-19 vaccine acceptance across time and countries JR Kerr, CR Schneider, G Recchia, S Dryhurst, U Sahlin, C Dufouil, ... MedRxiv, 2020.12. 09.20246439, 2020 | 36 | 2020 |
| Applicability domain dependent predictive uncertainty in QSAR regressions U Sahlin, N Jeliazkova, T Öberg Molecular Informatics 33 (1), 26-35, 2014 | 35 | 2014 |
| Researchers’ approaches to stakeholders: Interaction or transfer of knowledge? Å Knaggård, D Slunge, A Ekbom, M Göthberg, U Sahlin Environmental Science & Policy 97, 25-35, 2019 | 34 | 2019 |
| Uncertainty in QSAR predictions U Sahlin Alternatives to Laboratory Animals 41 (1), 111-125, 2013 | 32 | 2013 |
| PLS-Optimal: A stepwise D-optimal design based on latent variables S Brandmaier, U Sahlin, IV Tetko, T Oberg Journal of chemical information and modeling 52 (4), 975-983, 2012 | 28 | 2012 |
| Estimating effects of arable land use intensity on farmland birds using joint species modeling M Stjernman, U Sahlin, O Olsson, HG Smith Ecological Applications 29 (4), e01875, 2019 | 25 | 2019 |
| Bayesian network applications for sustainable holistic water resources management: modeling opportunities for South Africa IH Govender, U Sahlin, GC O'Brien Risk Analysis 42 (6), 1346-1364, 2022 | 24 | 2022 |
| Time to establishment success for introduced signal crayfish in Sweden–a statistical evaluation when success is partially known U Sahlin, HG Smith, L Edsman, G Bengtsson Journal of Applied Ecology 47 (5), 1044-1052, 2010 | 21 | 2010 |
| Assessing the impact of changes in land-use intensity and climate on simulated trade-offs between crop yield and nitrogen leaching JH Blanke, S Olin, J Stürck, U Sahlin, M Lindeskog, J Helming, V Lehsten Agriculture, Ecosystems & Environment 239, 385-398, 2017 | 20 | 2017 |
| Evaluation of CADASTER QSAR models for the aquatic toxicity of (benzo) triazoles and prioritisation by consensus prediction S Cassani, S Kovarich, E Papa, PP Roy, M Rahmberg, S Nilsson, ... Alternatives to Laboratory Animals 41 (1), 49-64, 2013 | 20 | 2013 |
| A risk assessment perspective of current practice in characterizing uncertainties in QSAR regression predictions U Sahlin, M Filipsson, T Öberg Molecular informatics 30 (6‐7), 551-564, 2011 | 20 | 2011 |
| Scientific Guidance for the preparation of applications on smoke flavouring primary products EFSA Panel on Food Additives and Flavourings (FAF), M Younes, ... EFSA Journal 19 (3), e06435, 2021 | 18 | 2021 |
