Citations / Citációk

 


Oborny B., Kun Á., Czárán T. and Bokros Sz. 2000. The effect of clonal integration on plant competition for mosaic habitat space. Ecology, 81(12): 3291-3304.

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Oborny B., Czárán T. and Kun Á. 2001. Exploration and exploitation of resource patches by clonal growth: a spatial model on the effect of transport between modules. Ecological Modelling, 141 151-169.

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Kun Á. and Oborny B. 2003. Survival and competition of clonal plant populations in spatially and temporally heterogeneous habitats. Community Ecology, 4(1): 1-20.

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Kun Á, Santos, M. and Szathmáry E. 2005. Real ribozymes suggest a relaxed error threshold. Nature Genetics 37(9): 1008-1011

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Ittzés P., Jakó É., Kun Á., Kun A. és Podani J. 2005. A discrete mathematical method for the analysis of spatial pattern Community Ecology 6(2): 177-190

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Kun Á., Maurel, M.-C., Santos, M. and Szathmáry E. 2005. Fitness landscapes, error thresholds, and cofactors in aptamer evolution. in Klussman, S. (ed.): The Aptamer Handbook. Functional Oligonucleotides and Their Applications. Wiley-VCH, Weinheim, pp. 54-92

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Kun Á. and Scheuring I. 2006. The evolution of density-dependent dispersal in a noisy spatial population model. OIKOS 115: 308–320

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Kun Á., Boza G. and Scheuring I. 2006. Asynchronous snowdrift game with synergistic effect as a model of cooperation. Behavioural Ecology 17:633-641

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Kun Á. 2007. Generation of temporally and spatially heterogeneous landscapes for models of population dynamics. Applied Ecology and Environmental Research 4(2): 73-84

  1. Pazúr, R., Oťahel, J., Maretta, M. 2016. The distribution of selected CORINE land cover classes in diferent natural landscapes in Slovakia: Methodological framework and applications. Moravian Geographical Reports, 23(1): 45 - 56.

Magyar G., Kun Á., Oborny B. and Stuefer, J.F. 2007. The importance of plasticity and decision-making strategies for plant resource acquisition in spatio-temporally variable environments: a modeling study New Phytologist 174(1): 182-193

  1. Hao, C.-S., Wang, Q.-K., Sun, X.-L. 2016. Effects of light heterogeneity on leaf anatomical structure in Buchloe dactyloides. Chinese Journal of Plant Ecology, 40(3): 246 - 254 [abstract]
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Jakó É., Ittzés P., Szenes Á, Kun Á., Szathmáry E. és Pál G. 2007. In silico detection of tRNA sequence features characteristic to synthetase class membership. Nucleic Acid Research 35(1): 5593-5609

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Kun Á., Papp B. és Szathmáry E. 2008. Computational identification of obligatorily autocatalytic replicators embedded in metabolic networks. Genome Biology 9:R51

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Kun Á., Pongor S., Jordán F., Szathmáry E. 2008. Catalytic propensity of amino acids and the origins of the genetic code and proteins. in The Codes of Life (Barbieri M., Hoffmeyer J. eds) pp. 39–58, Springer-Verlag, Amsterdam

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Kun Á. and Scheuring I. 2009. Evolution of cooperation on dynamical graphs. BioSystem 96:65-68

  1. Liu, P., Liu, J. 2017. Robustness of coevolution in resolving prisoner's dilemma games on interdependent networks subject to attack. Physica A: Statistical Mechanics and its Applications, 479: 362 - 370.
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Kun Á., Oborny B. és Dieckmann, U. 2009. Intermediate landscape disturbance maximizes metapopulation density. Landscape Ecology 24(10):1341

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Kun Á., Boza G. and Scheuring I. 2010. Cooperators Unite! Assortative linking promotes cooperation particularly for medium sized associations. BMC Evolutionary Biology 10:173

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Boza G., Kun Á., Scheuring I. & Dieckmann, U. 2012. Strategy diversity stabilizes mutualism through investment cycles, phase polymorphism, and spatial bubbles. PLoS Computational Biology 8(11): e1002660

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Kun Á. and Dieckmann, U. 2013. Resource heterogeneity can facilitate cooperation. Nature Communications, 4: 2453

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Boza G., Szilágyi A., Kun Á., Santos, M. és Szathmáry E. 2014. Evolution of the division of labor between genes and enzymes in the RNA world. PLoS Computational Biology 10(12): e1003936

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Szilágyi A., Kun Á., Szathmáry E. 2014. Local neutral networks help maintain inaccurately replicating ribozymes. PLoS ONE 9(10): e109987

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Kun Á. és Szathmáry E. 2015. Fitness landscapes of functional RNAs. LIFE 5(3): 1497-1517

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