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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.

  2024 2023 2022 2021 2020 2019 2018

Total published articles

40 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

12 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

Bragazzi NL, Nicolini C (2014) Nanogenomics for Personalized Nanomedicine: An Application to Kidney Transplantation. Cell Mol Biol. 60: 2.

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

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.

Huc A (2015) Predicting protein-RNA interaction sites on RNA. MSc thesis

Adossa N (2016) Computational functional prediction of novel long noncoding RNA in TCGA Glioblastoma multiforme sample. 

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.

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.

Murray RD (2014) Post-transcriptional regulation of the Type IIA sodium-phosphate cotransporter by parathyroid hormone. Doctoral Dissertation    

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.

Muppirala U (2013) Computational prediction of RNA-protein interaction partners and interfaces. Diss: Doctor of Philosophy  

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.

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.

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

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

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.

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.

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.

Livi CM, Blanzieri E (2014) Protein-specific prediction of mRNA binding using RNA sequences, binding motifs and predicted secondary structures. BMC Bioinfo. 15: 123.

Livi CM, Blanzieri E (2014) Protein-specific prediction of mRNA binding using RNA sequences, binding motifs and predicted secondary structures. BMC Bioinfo. 15: 123.

Gambacorti-Passerini CB, Donadoni C, Parmiani A, Pirola A, Redaelli S (2015) Recurrent ETNK1 mutations in atypical chronic myeloid leukemia. Blood. 125: 499-503

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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