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

Bragazzi NL, Nicolini C (2014) Nanogenomics for Personalized Nanomedicine: An Application to Kidney Transplantation. Cell Mol Biol. 60: 2. 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
Hu EY, Bouteiller JMC, Song D, Berger TW (2015). The volterra functional series is a viable alternative to kinetic models for synaptic modeling-calibration and benchmarking. In 37th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, 3291-3294. IEEE. View at Publisher View at Google Scholar
Huc A (2015) Predicting protein-RNA interaction sites on RNA. MSc thesis View at Publisher View at Google Scholar
Adossa N (2016) Computational functional prediction of novel long noncoding RNA in TCGA Glioblastoma multiforme sample. View at Publisher View at Google Scholar
Kunz M, Wolf B, Schulze H, Atlan D, Walles T, Walles H (2016) Non-Coding RNAs in Lung Cancer: Contribution of Bioinformatics Analysis to the Development of Non-Invasive Diagnostic Tools. Genes 8: 8. View at Publisher View at Google Scholar
Murray, R. D., Merchant, M. L., Hardin, E., Clark, B., Khundmiri, S. J., & Lederer, E. D. (2016). Identification of an RNA-binding protein that is phosphorylated by PTH and potentially mediates PTH-induced destabilization of Npt2a mRNA. American Journal of Physiology-Cell Physiology, 310(3), C205-C215. View at Publisher View at Google Scholar
Murray RD (2014) Post-transcriptional regulation of the Type IIA sodium-phosphate cotransporter by parathyroid hormone. Doctoral Dissertation View at Publisher View at Google Scholar
Walia RR, EL-Manzalawy Y, Honavar VG, Dobbs D (2017) Sequence-Based Prediction of RNA-Binding Residues in Proteins. Pred Prot Second Struct. 205-235. View at Publisher View at Google Scholar
Muppirala U (2013) Computational prediction of RNA-protein interaction partners and interfaces. Diss: Doctor of Philosophy View at Publisher View at Google Scholar
Hall D, Li S, Yamashita K, Azuma R, Carver JA (2015) RNA-LIM: A novel procedure for analyzing protein/single-stranded RNA propensity data with concomitant estimation of interface structure. Anal Biochem. 472: 52-61. View at Publisher View at Google Scholar
Pan X, Fan YX, Yan J, Shen HB (2016) IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction. BMC Genom. 17: 582. View at Publisher View at Google Scholar
Yipintsoi T, Kroll K, Bassingthwaighte JB (2016) Fractal regional myocardial blood flows pattern according to metabolism, not vascular anatomy. Am J Physiol-Heart Circulat Phys. 310: H351-H364 View at Publisher View at Google Scholar
Muppirala U, Lewis BA, Mann CM, Dobbs D (2016) A motif-based method for predicting interfacial residues in both the RNA and protein components of protein-RNA complexes. In Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. NIH Public Access. 21: 445 View at Publisher View at Google Scholar
Schmitz U, Naderi-Meshkin H, Gupta SK, Wolkenhauer O, Vera J (2016) The RNA world in the 21st century-a systems approach to finding non-coding keys to clinical questions. Brief Bioinfo. 17: 380-392. View at Publisher View at Google Scholar
Ching T, Masaki J, Weirather J, Garmire LX (2015) Non-coding yet non-trivial: a review on the computational genomics of lincRNAs. BioData Mining. 8: 44. View at Publisher View at Google Scholar
Shang D, Yang H, Xu Y, Yao Q, Zhou W, et al. (2015) A global view of network of lncRNAs and their binding proteins. Mol BioSyst. 11: 656-663. View at Publisher View at Google Scholar
Livi CM, Blanzieri E (2014) Protein-specific prediction of mRNA binding using RNA sequences, binding motifs and predicted secondary structures. BMC Bioinfo. 15: 123. View at Publisher View at Google Scholar
Livi CM, Blanzieri E (2014) Protein-specific prediction of mRNA binding using RNA sequences, binding motifs and predicted secondary structures. BMC Bioinfo. 15: 123. View at Publisher View at Google Scholar
Gambacorti-Passerini CB, Donadoni C, Parmiani A, Pirola A, Redaelli S (2015) Recurrent ETNK1 mutations in atypical chronic myeloid leukemia. Blood. 125: 499-503 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