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)

ho j, hirt-minkowski p, wilkins ja (2017) new developments in transplant proteomics. curr opin nephrol hypertens 26:229-234.

islam a, kagawa y, miyazaki h, shil sk, umaru ba, yasumoto y, et al. (2019) fabp7 protects astrocytes against ros toxicity via lipid droplet formation. mol neurobiol 24:1-7.

shanker dm (2015) nanomedicine: current status and future prospects (2015) res rev j pharm nanotechnol 3:46-69.  

deverakonda a, gupta n (2016) diagnosis and treatment of cervical cancer: a review. j nurs health sci 2:1-11.

kashyap s (2016) comparative modelling of huntington disease research & reviews: journal of medicinal & organic chemistry 3:31-38.

pasupuleti a (2016) diabetes and associated risk factors research and reviews: journal of pharmaceutical quality assurance 2:130-137.

sharma rk (2015) role of bioinformatics in various aspects of biological research: a mini review. research and reviews: research journal of biology 3:1-20.

mano ec, scott al, honorio km (2018) udp-glucuronosyltransferases: structure, function and drug design studies. curr med chem 25:3247-3255.

rashidi s, kalantar k, hatam g (2018) using proteomics as a powerful tool to develop a vaccine against mediterranean visceral leishmaniasis. journal of parasitic diseases 42:162-170.

drobin k (2018) antibody-based bead arrays for high-throughput protein profiling in human plasma and serum (doctoral dissertation, kth royal institute of technology).

lazzarini n (2017) knowledge extraction from biomedical data using machine learning (doctoral dissertation, newcastle university).

zhang x, jonassen i (2019) a comparative analysis of feature selection methods for biomarker discovery in study of toxicant-treated atlantic cod (gadus morhua) liver. arxiv preprint arxiv:1905.08048.

cheng ly  (2017) statistical methods for effective protein biomarker discovery (doctoral dissertation, purdue university).

altay ya, kremlev as, gandalipov er, yerzhebayeva rs (2019) on the use of the statistical methods for biomedical signals and data processing. in2019 ieee conference of russian young researchers in electrical and electronic engineering (eiconrus). ieee pp:1129-1134.

zhumasheva zt, altay ya, kremlev as (2018) noise resistance processing of speech signals. in2018 ieee conference of russian young researchers in electrical and electronic engineering (eiconrus). ieee pp:1180-1185.

al-thani am, voss sc, al-menhali as, barcaru a, horvatovich p, al jaber h, et al. (2018) whole blood storage in cpda1 blood bags alters erythrocyte membrane proteome. oxidative medicine and cellular longevity.

hackshaw kv, aykas dp, sigurdson gt, plans m, madiai f, yu l, et al. (2019) metabolic fingerprinting for diagnosis of fibromyalgia and other rheumatologic disorders.  j biol chem 294:2555-2568.

anjo si, manadas b (2018) a translational view of cells' secretome analysis-from untargeted proteomics to potential circulating biomarkers. biochimie 155:37-49.

andreev vp, gillespie bw, helfand bt, merion rm (2016) misclassification errors in unsupervised classification methods. comparison based on the simulation of targeted proteomics data. j proteomics bioinform.

rozali nl, yarmo ma, idris as, kushairi a, ramli us (2017) metabolomics differentiation of oil palm ('elaeis guineensis' jacq.) spear leaf with contrasting susceptibility to 'ganoderma boninense'. plant omics 10:45.

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