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Journal of Computer Science & Systems Biology

Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

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.

  2024 2023 2022 2021 2020 2019 2018

Total published articles

60 43 61 60 41 17 29

Research, Review articles and Editorials

0 0 0 22 25 11 29

Research communications, Review communications, Editorial communications, Case reports and Commentary

40 43 61 38 16 6 0

Conference proceedings

31 0 28 0 0 0 84

Citations received as per Google Scholar, other indexing platforms and portals

2486 2087 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 2019 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.

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.

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.

Winkler R (2015) An evolving computational platform for biological mass spectrometry: workflows, statistics and data mining with MASSyPup64. PeerJ 3: e1401.

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 .

Bragazzi NL, Pechkova E, Nicolini C (2014) Proteomics and proteogenomics approaches for oral diseases. Adv Protein Chem Struct Biol. 95: 125-162.

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.

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.

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.

Mandal S, Banerjee I (2015) Cancer Classification Using Neural Network. Int J Emerg Eng Res Technol.  3: 172-178.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Relevant Topics

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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