| The microbiome extends host evolutionary potential LP Henry, M Bruijning, SKG Forsberg, JF Ayroles Nature communications 12 (1), 5141, 2021 | 280* | 2021 |
| Functional traits as predictors of vital rates across the life cycle of tropical trees MD Visser, M Bruijning, SJ Wright, HC Muller‐Landau, E Jongejans, ... Functional Ecology 30 (2), 168-180, 2016 | 212 | 2016 |
| Variation in SARS-CoV-2 outbreaks across sub-Saharan Africa BL Rice, A Annapragada, RE Baker, M Bruijning, W Dotse-Gborgbortsi, ... Nature Medicine 27 (3), 447-453, 2021 | 105 | 2021 |
| Natural selection for imprecise vertical transmission in host–microbiota systems M Bruijning, LP Henry, SKG Forsberg, CJE Metcalf, JF Ayroles Nature ecology & evolution 6 (1), 77-87, 2022 | 57* | 2022 |
| The evolution of variance control M Bruijning, CJE Metcalf, E Jongejans, JF Ayroles Trends in ecology & evolution 35 (1), 22-33, 2020 | 57 | 2020 |
| trackdem: Automated particle tracking to obtain population counts and size distributions from videos in r M Bruijning, MD Visser, CA Hallmann, E Jongejans Methods in Ecology and Evolution 9 (4), 965-973, 2018 | 38 | 2018 |
| Surviving in a cosexual world: A cost-benefit analysis of dioecy in tropical trees M Bruijning, MD Visser, HC Muller-Landau, SJ Wright, LS Comita, ... The American Naturalist 189 (3), 297-314, 2017 | 33 | 2017 |
| Disentangling evolutionary, plastic and demographic processes underlying trait dynamics: a review of four frameworks KJ van Benthem, M Bruijning, T Bonnet, E Jongejans, E Postma, A Ozgul Methods in Ecology and Evolution 8 (1), 75-85, 2017 | 32 | 2017 |
| Population‐level responses to temperature, density and clonal differences in Daphnia magna as revealed by integral projection modelling M Bruijning, ACM ten Berge, E Jongejans Functional Ecology 32 (10), 2407-2422, 2018 | 31 | 2018 |
| Challenges in modeling the emergence of novel pathogens EE Glennon, M Bruijning, J Lessler, IF Miller, BL Rice, RN Thompson, ... Epidemics 37, 100516, 2021 | 23 | 2021 |
| Relative abundance data can misrepresent heritability of the microbiome M Bruijning, JF Ayroles, LP Henry, B Koskella, KM Meyer, CJE Metcalf Microbiome 11 (1), 222, 2023 | 21 | 2023 |
| Demographic responses underlying eco‐evolutionary dynamics as revealed with inverse modelling M Bruijning, E Jongejans, MM Turcotte Journal of Animal Ecology 88 (5), 768-779, 2019 | 11 | 2019 |
| Hosts, microbiomes, and the evolution of critical windows CJE Metcalf, B Tepekule, M Bruijning, B Koskella Evolution letters 6 (6), 412-425, 2022 | 7 | 2022 |
| Host–parasite dynamics shaped by temperature and genotype: Quantifying the role of underlying vital rates M Bruijning, EIF Fossen, E Jongejans, H Vanvelk, JAM Raeymaekers, ... Functional Ecology 36 (2), 485-499, 2022 | 3 | 2022 |
| Closing the gap in the Janzen–Connell hypothesis: What determines pathogen diversity? M Bruijning, CJE Metcalf, MD Visser Ecology letters 27 (1), e14316, 2024 | 2 | 2024 |
| Data for: Population-level responses to temperature, density and clonal differences in Daphnia magna as revealed by Integral Projection Modeling M Bruijning, A ten Berge, E Jongejans DANS EASY, 2018 | 2 | 2018 |
| trackdem: Particle Tracking and Demography. M Bruijning, MD Visser, CA Hallmann, E Jongejans https://cran.r-project.org/web/packages/trackdem, 2017 | 2 | 2017 |
| Data from: Host-parasite dynamics shaped by temperature and genotype: quantifying the role of underlying vital rates M Bruijning, E Fossen, E Jongejans, H Vanvelk, J Raeymaekers, ... Dryad, 2021 | 1 | 2021 |
| Data from: Demographic responses underlying eco-evolutionary dynamics as revealed with inverse modelling M Bruijning, E Jongejans, MM Turcotte DANS EASY, 2019 | 1 | 2019 |
| Understanding Host-Microbiome Evolution through the Lens of Evolutionary Theory: New Tricks for Old Dogs B Week, SL Russel, H Schulenburg, BJM Bohannan, M Bruijning EcoEvoRxiv, 2024 | | 2024 |
Eelke JongejansRadboud University, Nijmegen, RIBES, NEC-E, CAPS, NIOO-KNAWZweryfikowany adres z ru.nl