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 | |
---|---|---|---|---|---|
Total published articles |
27 | 13 | 1 | 2 | 5 |
Conference proceedings |
0 | 0 | 0 | 0 | 57 |
Citations received as per Google Scholar, other indexing platforms and portals |
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 2019 | 7 |
Important citations (62)
Sipma: a systematic identification of protein-protein interactions in zea mays using autocorrelation features in a machine-learning framework |
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Ilms, computational identification of lysine-malonylation sites by combining multiple sequence features |
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A comprehensive review of in silico analysis for protein s-sulfenylation sites |
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Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information |
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Large-scale assessment of bioinformatics tools for lysine succinylation sites |
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Ntyrosite: computational identification of protein nitrotyrosine sites using sequence evolutionary features |
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Gpsuc: global prediction of generic and species-specific succinylation sites by aggregating multiple sequence features |
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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. |
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rerimassie v (2016) exploring political views on synthetic biology in the netherlands. nanoethics, 10(3), 289-308. |
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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. |
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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. |
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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. |
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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. |
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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. |
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zhang y (2014) orthopedics & muscular system: current research. |
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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. |
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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. |
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murabito e, verma m, bekker m, bellomo d, westerhoff h. v (2014) monte-carlo modeling of the central carbon metabolism of lactococcus lactis. |
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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. |
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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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