GET THE APP

..

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

Pintarelli G, Dassano A, Cotroneo CE, Galvan A, Noci S, et al. (2016). Read-through transcripts in normal human lung parenchyma are down-regulated in lung adenocarcinoma. Oncotarget. 7: 27889.

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

Kanonidis EI, Roy MM, Deighton RF, Le Bihan T (2016) Protein Co-Expression Analysis as a Strategy to Complement a Standard Quantitative Proteomics Approach: Case of a Glioblastoma Multiforme Study. PloS one. 11: e0161828.

Singh BM, Mohanvir K, Nishit G, Kumar BV (2015) Alzheimer’s Disease and Glucose Metabolism Res Rev J Med Health Sci.4 

Lukhele ST (2016) Crude extracts of solvents isolated from cannabis sativa plant extracts inhibit growth and induce apoptosis in cervical cancer cells (Doctoral dissertation).

Cárdenas-García M, González-Pérez P, Montagna S, Cortés OS, Caballero EH (2016) Modeling Intercellular Communication as a Survival Strategy of Cancer Cells: An In Silico Approach on a Flexible Bioinformatics Framework. Bioinfo Biolo Insights. 10: 5.

Kamal A, Shaik TB, Malik MS (2015) Embracing synthetic lethality of novel anticancer therapies. Exp Opinion Drug Disc. 10: 1119-1132.

The ethics of modern living

Hong FT (2015) Free will: A case study in reconciling phenomenological philosophy with reductionist sciences. Prog Biophy Mol Biol. 119: 671-727.

Riegler A (2006). Superstition in the machine. In Workshop on Anticipatory Behavior in Adaptive Learning Systems. Springer, Berlin, 57-72.

Shadish WR, Lecy JD (2015) The meta‐analytic big bang. Research synthesis methods. 6: 246-264.

Hong FT (2013) The role of pattern recognition in creative problem solving: A case study in search of new mathematics for biology. Prog Biophy Mol Biol. 113: 181-215.

Khan H, Bashir S, Qamar U,  Farhan. Australas Phys Eng Sci Med

Singh BM, Mohanvir K, Nishit G, Kumar BV (2015) Alzheimer’s Disease and Glucose Metabolism. Res Rev J Med Health Sci. 4

Bashir S, Qamar U, Khan FH (2015) A multicriteria weighted vote‐based classifier ensemble for heart disease prediction. Comput Intel.

Mahmud S, Iqbal R, Doctor F (2016) Cloud enabled data analytics and visualization framework for health-shocks prediction. Fut Gene Comput Syst. 65: 169-181.

Bashir S, Qamar U, Khan FH (2015) BagMOOV: A novel ensemble for heart disease prediction bootstrap aggregation with multi-objective optimized voting. Austral Phys Eng Sci Med. 38: 305-323.

Nicolini C, Bragazzi NL, Pechkova E (2016) Microarray-based Functional Nanoproteomics for an Industrial Approach to Cancer. Mass Spectro Nanoconduct. NanoWorld J. 1: 128-132.

Sharma KK, Kothari A (2016) Entropy based Data Evaluation for Improving Learning of Supervised Classifiers. Int J Eng Sci. 8237-8243.

Nicolini C, Spera R, Pechkova E (2015) SpADS and SNAP-NAPPA Microarrays towards Biomarkers Identification in Humans: Background Subtraction in Mass Spectrometry with E. coli Cell Free Expression System. J Mol Biomark  Diag. 6: 1.

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

Indexed In

 
arrow_upward arrow_upward