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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)

Ostasiewicz p, wisniewski jr (2017) chapter ten-a protocol for large-scale proteomic analysis of microdissected formalin fixed and paraffin embedded tissue. methods in enzymology 585: 159-176.

Ingr m, lange r, halabalova v, yehya a, hrncirik j, et al. (2015) inhibitor and substrate binding induced stability of hiv-1 protease against sequential dissociation and unfolding revealed by high pressure spectroscopy and kinetics. plos one 10: e0119099.

Broeckx v, boonen k, pringels l, sagaert x, prenen h, et al. (2016) comparison of multiple protein extraction buffers for gelc-ms/ms proteomic analysis of liver and colon formalin-fixed, paraffin-embedded tissues. molecular biosystems 12: 553-565.

Drummond es, nayak s, ueberheide b, wisniewski t (2015) proteomic analysis of neurons microdissected from formalin-fixed, paraffin-embedded alzheimer’s disease brain tissue. scientific reports 5: 15456.

Mukaihara k, suehara y, kohsaka s, kubota d, toda-ishii m, et al. (2016) expression of f-actin-capping protein subunit beta, capzb, is associated with cell growth and motility in epithelioid sarcoma. bmc cancer 16: 206.

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

Nguyen nn, srihari s, leong hw, chong kf (2015) enzdp: improved enzyme annotation for metabolic network reconstruction based on domain composition profiles. journal of bioinformatics and computational biology, 13: 1543003.

zhang jh, li y, song xb, ji xh, sun hn, et al. (2016)differential expression of serum proteins in rats subchronically exposed to arsenic identified by itraq-based proteomic technology—14-3-3 ζ protein to serve as a potential biomarker. toxicology research 5: 651-659.

Huang q, luo l, alamdar a, zhang j, liu l, et al. (2016) integrated proteomics and metabolomics analysis of rat testis: mechanism of arsenic-induced male reproductive toxicity. scientific reports.

Voiculescu v, calenic b, ghita m, lupu m, caruntu a, et al. (2016) from normal skin to squamous cell carcinoma: a quest for novel biomarkers. disease markers.

Varghese s, salim a, ss vc (2015) microrna binding site scoring model. in control communication & computing india (iccc), 2015 international conference on pp: 628-633.

Sumaira ka, salim a, chandra sv (2016) svm-based pre-microrna classifier using sequence, structural, and thermodynamic parameters. in proceedings of the 4th international conference on frontiers in intelligent computing: theory and applications (ficta) pp: 57-67.

Salim a, amjesh r, chandra sv (2017) an approach to forecast human cancer by profiling microrna expressions from ngs data. bmc cancer 17: 77.

Salim a, amjesh r, ss vc (2016) an improved algorithm for microrna profiling from next generation sequencing data. in international conference on data mining and big data pp: 38-47.

Salim a, amjesh r, ss vc (2016) svm based lung cancer prediction using microrna expression profiling from ngs data. in asian conference on intelligent information and database systems pp: 544-553).

Damaceno nb, pires a, franco ol, coimbra j (2016) identification of putative defensins of arabidopsis thaliana in databases. simposio de tcc e seminario de ic 1: 76.

Porto wf, nolasco do, pires as, pereira rw, franco ol,et al. (2016) prediction of the impact of coding missense and nonsense single nucleotide polymorphisms on hd5 and hbd1 antibacterial activity against escherichia coli. peptide science 106: 633-644.

Porto wf, pires as, franco ol (2017) computational tools for exploring sequence databases as a resource for antimicrobial peptides. biotechnology advances.

Porto wf, miranda vj, pinto mf, dohms sm, franco ol (2016) high‐performance computational analysis and peptide screening from databases of cyclotides from poaceae. peptide science 106: 109-118.

Che d, manikonda sv, li z, chen b (2016) an anomaly detection algorithm for identifying alien gene clusters in microbial genomes. in proceedings of the international conference on bioinformatics & computational biology (biocomp) pp: 31.

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