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IET Journal Outstanding Editor Awards

The IET is very grateful to all its Editors and Editorial Board members for their hard work. In 2019 we introduced the annual IET Journal Outstanding Editor Awards where a number of Editors and Editorial Board Members from across the IET Journal Portfolio are recognised for particularly outstanding activities to maintain and further develop the high international standards and reputation of the IET’s Research Journals.

See all of the Editors that received awards in 2019 here.

Premium Awards

Each year the IET awards a prize to the authors of the best paper published within the last two years in each of the IET’s journals. The winners of the IET Systems Biology Premium Awards are listed below and the 2019 winning paper is free to access on the IET Digital Library until August 2020.


2019 IET Systems Biology Premium Award

Hao Wu, Jihua Dong, Jicheng Wei: ‘Network-based method for detecting dysregulated pathways in glioblastoma cancer’, IET Systems Biology, 2018, 12, (1), pp. 39 – 44

Click here to view the paper


2018 IET Systems Biology Premium Award

Borri, A., Palumbo, P., Singh, A.: ‘Impact of negative feedback in metabolic noise propagation’, IET Systems Biology 10, (5), pp. 179 – 186

Click here to view the paper


2017 IET Systems Biology Premium Award

Zimmer, C., Sahle, S.: ‘Deterministic inference for stochastic systems using multiple shooting and a linear noise approximation for the transition probabilities’, IET Systems Biology, 2015, 9, (5), pp. 181 – 192

Click here to view the paper


2016 IET Systems Biology Premium Award

Nguyen, L.K., Zhao, Q., Varusai, T.M., Kholodenko, B.N.: ‘Ubiquitin chain specific auto-ubiquitination triggers sustained oscillation, bistable switches and excitable firing’, IET Systems Biology, 2014, 8, (6), pp. 282-292

Click here to view the paper


2015 IET Systems Biology Premium Award

Chuang, C.-H., Lin, C.-L., Chang, Y.-C., Jennawasin, T., Chen, P.-K.: ‘Design of synthetic biological logic circuits based on evolutionary algorithm’, IET Systems Biology, 2013, 7, (4), pp. 89-105

Click here to view the paper


 2014 IET Systems Biology Premium Award

Wallace, E.W.J., Gillespie, D.T., Sanft, K.R., Petzold, L.R.: ‘Linear noise approximation is valid over limited times for any chemical system that is sufficiently large’, IET Systems Biology, 2012, 6, (4), pp. 102–115

Click here to view the paper


 2013 IET Systems Biology Premium Award

Luni, C., Doyle, F.J., and Elvassore, N.: ‘Cell population modelling describes intrinsic heterogeneity: a case study for hematopoietic stem cells’, IET Systems Biology, 2011, 5, (3), pp. 164–173

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