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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.

  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

Siva Kishore N, Mahaboobbi S, Satya Varali M, Ramya S. Emerging Trends in Various Fields with Systems Biology Approach. J Page 2 of 6 Special Issue 13• 2011 J Comput Sci Syst Biol ISSN: 0974-7230 JCSB, an open access journal Bioinformatics web tools, BLAST, INTERPROSCAN, PFAM [13] and COGs [14]. Spirulina platensis. 2011.

Nishant T, Kumar A, Sathish Kumar D, Vijaya Shanti B. Biological Databases-Integration of Life Science Data J Comput Sci Syst Biol 4: 087-092. doi: 10.4172/jcsb. 1000 081 Volume 4 (5): 087-092 (2011)-088 J Comput Sci Syst Biol ISSN: 0974-7230 JCSB, an open access journal While the initial databases of protein sequences were maintained at the individual laboratories, the development of a consolidated formal database known as SWISS-PROT protein sequence database was initiated in 1986. Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatic data analysis tools [14]. 2011.

Tripathy K, Nanda T, Chinnapatlola S, Sudharani OV. Metabolomics and its Value in Today’s Era. J Comput Sci Syst Biol S. 2011;13:2.

Deryusheva EI, Selivanova OM, Serdyuk IN. Loops and repeats in proteins as footprints of molecular evolution. Biochemistry (Moscow). 2012 Dec 1;77(13):1487-99.

Galzitskaya OV, Lobanov MY. Phyloproteomic analysis of 11780 six-residue-long motifs occurrences. BioMed research international. 2015;2015.

MANGAVELU A. STRUCTURAL AND FUNCTIONAL ANALYSES OF COPPER-SENSING OPERON REGULATOR PROTEIN (CsoRGz) OF Geobacillus zalihae STRAIN T1.

Murahari D, Tanniru S, Paramesh LP, Kumar KS, Jojula M, Gunda S. ANTI-MYCOBACTERIAL SCREENING METHODS FOR NEW COMPOUNDS IDENTIFICATION. European Journal of Biomedical. 2018;5(6):584-9.

Siva Kishore N, Mahaboobbi S, Satya Varali M, Ramya S. Emerging Trends in Various Fields with Systems Biology Approach. J Page 2 of 6 Special Issue 13• 2011 J Comput Sci Syst Biol ISSN: 0974-7230 JCSB, an open access journal Bioinformatics web tools, BLAST, INTERPROSCAN, PFAM [13] and COGs [14]. Spirulina platensis. 2011.

Nishant T, Kumar A, Sathish Kumar D, Vijaya Shanti B. Biological Databases-Integration of Life Science Data J Comput Sci Syst Biol 4: 087-092. doi: 10.4172/jcsb. 1000 081 Volume 4 (5): 087-092 (2011)-088 J Comput Sci Syst Biol ISSN: 0974-7230 JCSB, an open access journal While the initial databases of protein sequences were maintained at the individual laboratories, the development of a consolidated formal database known as SWISS-PROT protein sequence database was initiated in 1986. Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatic data analysis tools [14]. 2011.

Nadeem SF, Kamboh FU, Nadeem SS, Tariq S. Scholars Academic Journal of Biosciences.

Tripathy K, Nanda T, Chinnapatlola S, Sudharani OV. Metabolomics and its Value in Today’s Era. J Comput Sci Syst Biol S. 2011;13:2.

Gazi MA, Mahmud S, Fahim SM, Kibria MG, Palit P, Islam MR, Rashid H, Das S, Mahfuz M, Ahmeed T. Functional Prediction of Hypothetical Proteins from Shigella flexneri and Validation of the Predicted Models by Using ROC Curve Analysis. Genomics & informatics. 2018 Dec;16(4).

Gore DG, Rathod MK, Soni V, Rai MM. Homology modeling and enzyme function prediction in uncharacterized proteins of Salmonella typhi—An in silico approach.

Gore DG, Rathod MK, Soni V, Rai MM. Homology modeling and enzyme function prediction in uncharacterized proteins of Salmonella typhi—An in silico approach.

Khairnar K, Chandekar R, Sanmukh S, Paunikar W. International E–Publication.

Nimmy SF, Sarowar MG, Dey N, Ashour AS, Santosh KC. Investigation of DNA discontinuity for detecting tuberculosis. Journal of Ambient Intelligence and Humanized Computing. 2018:1-5.

Al-Khafaji ZM. In silico investigation of rv hypothetical proteins of virulent strain Mycobacterium tuberculosis H37Rv. Ind. J. Pharm. Biol. Res. 2013;1:81-8.

Rahman A, Nimmy SF, Sarowar G. Developing an automated machine learning approach to test discontinuity in DNA for detecting tuberculosis. InInternational Conference on Management Science and Engineering Management 2018 Aug 1 (pp. 277-286). Springer, Cham.

Nanda T, Das M, Tripathy K, Ravi TY. Metabolomics: the future of systems biology. Journal Computer Science Systems Biology. 2011;1:2-6.

Siddiqui A. Role of diabetes in prevalence of tuberculosis. J Diabetes Metab. 2011 Dec 1;2(170):2.

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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