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Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

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.

  2021 2020 2019 2018 2017 2016

Year wise published articles

64 15 21 31 45 47

Year wise citations received

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 2018 22
Important citations (453)

Helmke a, von vietinghoff s (2015) review extracellular vesicles as mediators of vascular inflammation in kidney disease name of journal: world journal of nephrology esps disease.

Helmke a, von vietinghoff s (2016) extracellular vesicles as mediators of vascular inflammation in kidney disease. world journal of nephrology, 5: 125.

Shields b, shalin sc, tackett aj (2016) microscopes and mass spectrometers. j proteomics bioinform s10: 2.

Murphy s, ohlendieck k (2016) the biochemical and mass spectrometric profiling of the dystrophin complexome from skeletal muscle. computational and structural biotechnology journal 14: 20-27.

Murphy s, zweyer m, mundegar rr, henry m, meleady p, et al. (2015) concurrent label-free mass spectrometric analysis of dystrophin isoform dp427 and the myofibrosis marker collagen in crude extracts from mdx-4cv skeletal muscles. proteomes, 3: 298-327.

Murphy s, henry m, meleady p, zweyer m, mundegar rr, et al. (2015) simultaneous pathoproteomic evaluation of the dystrophin-glycoprotein complex and secondary changes in the mdx-4cv mouse model of duchenne muscular dystrophy. biology 4: 397-423.

Takano m, otani m, kaji t, sano k, hamada-kanazawa m, et al. (2016) proteomic analysis of mouse choroid plexus cell line ecpc-4 treated with lipid a. inflammation research 65: 295-302.

Ghantasala s, gupta s, mani va, rai v, das tr, et al. (2016) omics: data processing and analysis. in biomarker discovery in the developing world: dissecting the pipeline for meeting the challenges pp: 19-39.

Gupta s, manubhai kp, kulkarni v, srivastava s (2016) an overview of innovations and industrial solutions in protein microarray technology. proteomics, 16: 1297-1308.

Shirshov us (2015) sensitivity and specificity of laboratory tests evaluate the functional state of the liver in patients with hepatitis b on the eve of discharge. current issues of biology, ecology and chemistry 10: 72-82.

Nebel jc (2015) computational intelligence in bioinformatics. journal of proteomics & bioinformatics, 8: 1.

Fiorino s, leandri p, bacchi-reggiani ml, visani m, pession a, et al. (2016) academic content and language evaluation of this article crosscheck and google search of this article academic rules and norms of this article supplementary materials of this article citation of this article. world j gastroenterol 22: 3907-3936.

Shukla s, evans jr, malik r, feng fy, dhanasekaran sm, et al. (2017). development of a rna-seq based prognostic signature in lung adenocarcinoma. journal of the national cancer institute 109: 200.

Pan s, brentnall ta, chen r (2016) glycoproteins and glycoproteomics in pancreatic cancer. world journal of gastroenterology 22: 9288.

Shields b, shalin sc, tackett aj (2016) microscopes and mass spectrometers. j proteomics bioinform s 10: 2.

Karandish f, mallik s (2016) biomarkers and targeted therapy in pancreatic cancer. biomarkers in cancer 8: 27.

Kumar r, li dq (2016) chapter four-paks in human cancer progression: from inception to cancer therapeutic to future oncobiology. advances in cancer research, 130: 137-209.

Haun rs, quick cm, siegel er, raju i, mackintosh sg, et al. (2015) bioorthogonal labeling cell-surface proteins expressed in pancreatic cancer cells to identify potential diagnostic/therapeutic biomarkers. cancer biology & therapy, 16: 1557-1565.

Amjadi f, aflatoonian r, javanmard sh, saifi b, ashrafi m, et al. (2015) apolipoprotein a1 as a novel anti-implantation biomarker in polycystic ovary syndrome: a case-control study. journal of research in medical sciences: the official journal of isfahan university of medical sciences 20: 1039.

Li s, zhang y, wang j, yang y, miao c, et al. (2016). combining untargeted and targeted proteomic strategies for discrimination and quantification of cashmere fibers. plos one 11: e0147044.

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