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Current Synthetic and Systems Biology

Current Synthetic and Systems Biology
Open Access

ISSN: 2332-0737

+44-20-4587-4809

Current Synthetic and Systems Biology : Citations & Metrics Report

Articles published in Current Synthetic and Systems Biology have been cited by esteemed scholars and scientists all around the world. Current Synthetic and Systems Biology has got h-index 7, which means every article in Current Synthetic and Systems Biology has got 7 average citations.

Following are the list of articles that have cited the articles published in Current Synthetic and Systems Biology.

  2021 2020 2019 2018 2017

Year wise published articles

27 13 1 2 5

Year wise citations received

33 25 25 26 14
Journal total citations count 175
Journal impact factor 5.67
Journal 5 years impact factor 3.29
Journal cite score 3.24
Journal h-index 7
Journal h-index since 2018 7
Important citations (62)

Sipma: a systematic identification of protein-protein interactions in zea mays using autocorrelation features in a machine-learning framework

Ilms, computational identification of lysine-malonylation sites by combining multiple sequence features

A comprehensive review of in silico analysis for protein s-sulfenylation sites

Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information

Large-scale assessment of bioinformatics tools for lysine succinylation sites

Ntyrosite: computational identification of protein nitrotyrosine sites using sequence evolutionary features

Gpsuc: global prediction of generic and species-specific succinylation sites by aggregating multiple sequence features

vb reddy a, yusop z, jaafar j, madhavi v, madhavi g (2016) advances in drug discovery: impact of genomics and role of analytical instrumentation. current drug discovery technologies, 13(4), 211-224.

rerimassie v (2016) exploring political views on synthetic biology in the netherlands. nanoethics, 10(3), 289-308.

gao x, wang c, bai f. y, guan q. l, wang j. x, et al. (2015) structure, characterization and photocatalytic activity of a series of well-established covalent heterojunction coordination polymers. journal of inorganic and organometallic polymers and materials, 25(5), 1088-1102.

hewett j. p, wolfe a. k, bergmann r. a, stelling s. c, davis k. l (2016) human health and environmental risks posed by synthetic biology r&d for energy applications a literature analysis. applied biosafety, 1535676016672377.

rozanov a. s, kotenko a. v, akberdin i. r, peltek s. e (2015) recombinant strains of saccharomyces cerevisiae for ethanol production from plant biomass. russian journal of genetics: applied research, 5(4), 375-382.

tang h, wang s, wang j, song m, xu m (2016). n-hypermannose glycosylation disruption enhances recombinant protein production by regulating secretory pathway and cell wall integrity in saccharomyces cerevisiae. scientific reports, 6.

greene e. r, himmel m. e, beckham g t, tan z (2015) chapter three-glycosylation of cellulases: engineering better enzymes for biofuels. advances in carbohydrate chemistry and biochemistry, 72, 63-112.

zhang y (2014) orthopedics & muscular system: current research.

teixeira da silva j. a, dobránszki j (2016) how authorship is defined by multiple publishing organizations and stm publishers. accountability in research, 23(2), 97-122.

badr h. a, alsadek d. m, el-houseini m. e, saeui c. t, mathew m. p (2016) harnessing cancer cell metabolism for theranostic applications using metabolic glycoengineering of sialic acid in breast cancer as a pioneering example. biomaterials.

murabito e, verma m, bekker m, bellomo d, westerhoff h. v (2014) monte-carlo modeling of the central carbon metabolism of lactococcus lactis.

sin yi l, li chin t, saberi mohamad m, deris s, subair s,et al.(2015) a review on metabolic pathway analysis in biological production. mini-reviews in organic chemistry, 12(6), 506-523.

Murabito e, colombo r, wu c, verma m, rehman s, et al. (2015) suprabiology 2014: promoting uk-china collaboration on systems biology and high performance computing. quantitative biology, 3(1), 46-53.

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