Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

Journal of Proteomics & Bioinformatics : Citations & Metrics Report

Articles published in Journal of Proteomics & Bioinformatics have been cited by esteemed scholars and scientists all around the world. Journal of Proteomics & Bioinformatics has got h-index 32, which means every article in Journal of Proteomics & Bioinformatics has got 32 average citations.

Following are the list of articles that have cited the articles published in Journal of Proteomics & Bioinformatics.

  2024 2023 2022 2021 2020 2019 2018 2017 2016

Total published articles

15 37 61 64 15 21 31 45 47

Research, Review articles and Editorials

9 17 11 37 11 12 28 40 37

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

1 17 50 25 3 9 3 2 4

Conference proceedings

0 0 15 0 0 0 161 354 225

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

0 0 0 524 565 544 497 546 567
Journal total citations count 5474
Journal impact factor 10.40
Journal 5 years impact factor 16.58
Journal cite score 18.65
Journal h-index 32
Journal h-index since 2019 22
Important citations (453)

ceciliani f, roccabianca p, giudice c, lecchi c (2016) application of post-genomic techniques in dog cancer research. mol biosyst 12:2665-2679.

maria-neto s, de almeida kc, macedo ml, franco ol (2015) understanding bacterial resistance to antimicrobial peptides: from the surface to deep inside. biochimica et biophysica acta. 1848:3078-3088.

xiao x, wu yt (2015) irspot-gcfpsenc: identifying recombination spots with pseudo nucleotide composition. biomedical engineering and environmental engineering 6:3.

tiwari ak, srivastava r (2018) an efficient approach for prediction of nuclear receptor and their subfamilies based on fuzzy k-nearest neighbor with maximum relevance minimum redundancy. proc natl acad sci india a 88:129-136.

tiwari ak, srivastava r (2015) feature based classification of nuclear receptors and their subfamilies using fuzzy k-nearest neighbor. in2015 international conference on advances in computer engineering and applications. ieee pp. 24-28.

zhang l, zhang c, gao r, yang r (2015) jppred: prediction of types of j-proteins from imbalanced data using an ensemble learning method. biomed res int 2015.

ismail hd, saigo h, kc db (2018) rf-nr: random forest based approach for improved classification of nuclear receptors. ieee/acm transactions on computational biology and bioinformatics (tcbb) 15:1844-1852.

zhang l, zhang c, gao r, yang r (2015) incorporating g-gap dipeptide composition and position specific scoring matrix for identifying antioxidant proteins. in2015 ieee 28th canadian conference on electrical and computer engineering (ccece). ieee pp. 31-36.

nebel jc (2014) computational intelligence in bioinformatics. j proteomics bioinform s 9:2.

tiwari ak, srivastava r (2015) an efficient approach for the prediction of ion channels and their subfamilies. comput biol chem 58:205-221.

zhang l, zhang c, gao r, yang r, song q (2016) sequence based prediction of antioxidant proteins using a classifier selection strategy. plos one 11:e0163274.

zhang l, zhang c, gao r, yang r, song q (2016) using the smote technique and hybrid features to predict the types of ion channel-targeted conotoxins. j theor biol 403:75-84.

zhang l, zhang c, gao r, yang r (2015) an ensemble method to distinguish bacteriophage virion from non-virion proteins based on protein sequence characteristics. int j mol sci 16:21734-21758.

tiwari ak, srivastava r (2014) a survey of computational intelligence techniques in protein function prediction. international journal of proteomics 2014.

ng s (2019) multi-omics analysis of immune-metabolic blood responses of very preterm infants for improving diagnosis of late-onset sepsis (doctoral dissertation, murdoch university).

rusconi b, good m, warner bb (2017) the microbiome and biomarkers for necrotizing enterocolitis: are we any closer to prediction? j pediatr 189:40-47.

samuel bo, folashade o (2018) nanoscale science and nanotechnology education in africa: importance and challenges. afr j chem educ 8:7-27.

ng s, strunk t, jiang p, muk t, sangild pt, currie a, et al. (2018) precision medicine for neonatal sepsis. front mol biosci 5:70.

rusconi b, good m, warner bb (2017) the microbiome and biomarkers for necrotizing enterocolitis: are we any closer to prediction? j pediatr 189:40-47.

riveros c, ujaldon m, moscato p (2016) gpu acceleration of an entropy-based model to quantify epistatic interactions between snps. curr bioinform 11:396-407.

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