Articles published in Journal of Computer Science & Systems Biology have been cited by esteemed scholars and scientists all around the world.
Journal of Computer Science & Systems Biology has got h-index 23, which means every article in Journal of Computer Science & Systems Biology has got 23 average citations.
Following are the list of articles that have cited the articles published in Journal of Computer Science & Systems Biology.
2022 | 2021 | 2020 | 2019 | 2018 | |
---|---|---|---|---|---|
Year wise published articles |
61 | 60 | 41 | 17 | 29 |
Year wise citations received |
175 | 232 | 220 | 225 | 205 |
Journal total citations count | 2279 |
Journal impact factor | 1.73 |
Journal 5 years impact factor | 5.97 |
Journal cite score | 5.75 |
Journal h-index | 23 |
Journal h-index since 2018 | 17 |
Heinzel A, Perco P, Mayer G, Oberbauer R, Lukas A, et al. (2014) From molecular signatures to predictive biomarkers: modeling disease pathophysiology and drug mechanism of action. Front Cell Develop Biol. 2: 48-111. |
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Lal JA, Morré SA, Brand A (2014) The overarching framework of translation and integration into healthcare: a case for the LAL model. Personal Med. 11: 41-62. |
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Lal JA, Vaidya A, Gutiérrez-Ibarluzea I, Dauben HP, Brand A (2013) The Learning-Adapting-Leveling model: from theory to hypothesis of steps for implementation of basic genome-based evidence in personalized medicine. Personal Med. 10: 683-701. |
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Ewing GW (2016). Science or non-science? The challenge for medical research-To explain neuro-regulation. In SAI Computing Conference, 1296-1303. |
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Ewing GW (2015) The Framework of a Mathematical Model of the Autonomic Nervous System and Physiological Systems: Using the Neuroregulation of Blood Glucose as an Example. J Comput Sci Syst Biol. 8: 59. |
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Hayat SAMKM (2010) Identification of Heat Shock Protein Families and. PloS one 5: e9990. |
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Ahmad S, Kabir M, Hayat M (2015) Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC. Comput Meth Program Biomed. 122: 165-174. |
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Sharma P, Thakur S, Awasthi P (2016) In silico and bio assay of juvenile hormone analogs as an insect growth regulator against Galleria mellonella (wax moth)–Part I. J Biomol Struc Dynam. 34: 1061-1078. |
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Sharma P, Awasthi P (2015) Molecular modeling study of various synthetic JHAs containing varied functionality. Int J Sci Technol Manag. 4: 1687-1693 |
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Sharma P, Thakur S, Awasthi P (2015) Synthesis, Characterization, Biological Evaluation and Docking Study of Heterocyclic-Based Synthetic Sulfonamides as Potential Pesticide Against G. mellonella. Appl Biochem Biotechnol. 176: 125-139. |
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Gholami S, Bordbar AK, Lohrasebi A (2017) Identifying binding modes of two synthetic derivatives of adrenalin to the α2C-adrenoceptor by using molecular modeling; insights into the α2C–adrenoceptor activation. Biophyl Chem. 223: 17-24. |
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Jatana N, Thukral L, Latha N (2015) Structure and dynamics of DRD4 bound to an agonist and an antagonist using in silico approaches. Proteins: Structure, Function, and Bioinformatics 83: 867-880. |
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Kakarala KK, Jamil K (2014) Sequence-structure based phylogeny of GPCR Class A Rhodopsin receptors. Mol Phylogen Evol. 74: 66-96. |
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Jung SH, Sohn I (2014) Statistical Issues in the Design and Analysis of nCounter Projects. Cancer Info. 13: 35. |
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De Cecco L, Bossi P, Locati L, Canevari S, Licitra L (2014) Comprehensive gene expression meta-analysis of head and neck squamous cell carcinoma microarray data defines a robust survival predictor. Ann Oncol. mdu173. |
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Claudio N (2016) Molecular Bioelectronics: The 19 Years of Progress (Vol. 11). World Scientific. |
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Bragazzi NL, Nicolini C (2015) Lichen planus. In Genomics, Personalized Medicine and Oral Disease. Springer International Publishing, 185-217 |
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Nicolini C, Spera R, Pechkova E (2015) SpADS and SNAP-NAPPA Microarrays towards Biomarkers Identification in Humans: Background Subtraction in Mass Spectrometry with E. coli Cell Free Expression System. J Mol Biomark Diag. 6: 1. |
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Nicolini C, Bragazzi NL, Pechkova E (2015) Determination of protein–protein interaction for cancer control via mass spectrometry and nanoconductimetry of nappa snap arrays: an overview. NanoWorld J. 1: 9-17. |
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Nicolini C, Bragazzi N, Pechkova E (2013) From nanobiotechnology to organic and biological monitoring of health and environment for biosafety. J Bioanal Biomed. 5: 108-117. |
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Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report