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

Nicolini C, Belmonte L, Maksimov G, Brazhe N, Pechkova E (2013). In situ monitoring by raman spectroscopy of lysozyme conformation during “nanotemplate” induced crystallization. J Microb Biochem Technol. 6: 009-016. 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
Winkler R (2015) An evolving computational platform for biological mass spectrometry: workflows, statistics and data mining with MASSyPup64. PeerJ 3: e1401. View at Publisher View at Google Scholar
Nicolini C, Spera R, Festa F, Belmonte L, Chong S, et al. (2013) Mass spectrometry and florescence analysis of SNAP-NAPPA arrays expressed using E. coli cell-free expression system. Nanomed Nanotechnol. 4: 1000181 . View at Publisher View at Google Scholar
Bragazzi NL, Pechkova E, Nicolini C (2014) Proteomics and proteogenomics approaches for oral diseases. Adv Protein Chem Struct Biol. 95: 125-162. View at Publisher View at Google Scholar
Mandal S, Debnath C, Kumari L (2017) Automated Age Prediction using Wrinkles Features of Facial Images and Neural Network. Int J Emerg Eng Res Technol. 15: 12-20. View at Publisher View at Google Scholar
Mandal S, Saha G, Pal RK (2014) Comparative study on Disease Classification using Different Soft Computing Techniques. SIJ Transac Comput Sci Eng Appl. 2: 45-52. View at Publisher View at Google Scholar
Mandal S, Saha G, Pal RK (2015) Neural network based gene regulatory network reconstruction. In Third International Conference on Computer, Communication, Control and Information Technology, 1-5. View at Publisher View at Google Scholar
Mandal S, Banerjee I (2015) Cancer Classification Using Neural Network. Int J Emerg Eng Res Technol. 3: 172-178. View at Publisher View at Google Scholar
Mandal S, Saha G, Pal RK (2016) Inference of gene regulatory networks with neural-cuckoo hybrid. In Advanced Computing and Systems for Security, Springer, India, 87-99. View at Publisher View at Google Scholar
Mandal S, Saha G, Pal RK (2015) S-system based gene regulatory network reconstruction using Firefly algorithm. In Third International Conference on Computer, Communication, Control and Information Technology, 1-5. View at Publisher View at Google Scholar
Mandal S, Saha G, Pal RK (2013) An Approach towards Automated Disease Diagnosis & Drug Design Using Hybrid Rough-Decision Tree from Microarray Dataset. J Comput Sci Syst Biol. 6: 337-343. View at Publisher View at Google Scholar
Morgan A, Mooney K, Mc Auley M (2016) Obesity and the dysregulation of fatty acid metabolism: implications for healthy aging. Exp Rev Endocrinol Metabol. 11: 501-510. View at Publisher View at Google Scholar
Morgan AE, Mooney KM, Wilkinson SJ, Pickles NA, Mc Auley MT (2016) Investigating cholesterol metabolism and ageing using a systems biology approach. Proceedings of the Nutrition Society, 1-14. View at Publisher View at Google Scholar
Cherdal S, Mouline S (2016) Petri nets for modelling and analysing a complex system related to Alzheimer's disease. Proceedings of the 31st Annual ACM Symposium on Applied Computing, 309-312. View at Publisher View at Google Scholar
Mc Auley MT, Mooney KM, Salcedo-Sora JE (2016) Computational modelling folate metabolism and DNA methylation: implications for understanding health and ageing. Brief Bioinfo. bbw116. View at Publisher View at Google Scholar
Morgan AE, Mooney KM, Wilkinson SJ, Pickles NA, Mc Auley MT (2016). Mathematically modelling the dynamics of cholesterol metabolism and ageing. Biosystems 145: 19-32. View at Publisher View at Google Scholar
Salcedo-Sora JE, Mc Auley MT (2016) A mathematical model of microbial folate biosynthesis and utilisation: implications for antifolate development. Molr BioSys. 12: 923-933. View at Publisher View at Google Scholar
Allison DB, Bassaganya-Riera J, Burlingame B, Brown AW, le Coutre J, et al. (2015) Goals in nutrition Science 2015–2020. Front Nutri. 2: 26. View at Publisher View at Google Scholar
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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