Citations Report

Journal of Computer Science & Systems Biology : Citations & Metrics Report

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

Important citations

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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Ewing GW (2016). Science or non-science? The challenge for medical research-To explain neuro-regulation. In SAI Computing Conference, 1296-1303. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Hayat SAMKM (2010) Identification of Heat Shock Protein Families and. PloS one 5: e9990. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Sharma P, Awasthi P (2015) Molecular modeling study of various synthetic JHAs containing varied functionality. Int J Sci Technol Manag. 4: 1687-1693 View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Kakarala KK, Jamil K (2014) Sequence-structure based phylogeny of GPCR Class A Rhodopsin receptors. Mol Phylogen Evol. 74: 66-96. View at Publisher View at Google Scholar
Jung SH, Sohn I (2014) Statistical Issues in the Design and Analysis of nCounter Projects. Cancer Info. 13: 35. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
Claudio N (2016) Molecular Bioelectronics: The 19 Years of Progress (Vol. 11). World Scientific. View at Publisher View at Google Scholar
Bragazzi NL, Nicolini C (2015) Lichen planus. In Genomics, Personalized Medicine and Oral Disease. Springer International Publishing, 185-217 View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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. View at Publisher View at Google Scholar
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Google Scholar citation report

Citations: 2279

Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report

Journal of Computer Science & Systems Biology peer review process verified at publons

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Journal of Computer Science & Systems Biology