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)

enyiukwu dn, ononuju cc, maranzu jo (2018) mycotoxins in foods and indoor air: their attendant diseases and modes of injury on biological and human systems. greener j epidemiol public health 6:34-51.

kiran ka, mohan cm (2018) antioxidant and cytotoxic activity of beauveria bassiana crude mycelia extracts against a-549 cell line. indian j pharm sci 80:776-780.

Спицина АМ, Брагин АО, Дергилев АИ, Чадаева ИВ, Твердохлеб НН, Галиева ЭР, et al. (2017) Компьютерные средства анализа транскриптомных данных: программный комплекc expgene. Программные системы: теория и приложения 8:29.

labadie j (2017) using the dog as a model to investigate environmental and genetic risk factors for mature, antigen-driven lymphoproliferative disorders (doctoral dissertation, colorado state university).

Devavarapu rg, murali g (2018) sequential pattern mining aide to bio-informatics. international journal on recent and innovation trends in computing and communication 6:27-36.

ma e (2018) correcting ambiguous base labels in dna sequencing using neural networks and its impact on dna barcoding applications (doctoral dissertation).

hsieh hy, peng yh, lin sf, chen lc, yu tc, chiou cf, et al. (2019) triple-junction optoelectronic sensor with nanophotonic layer integration for single-molecule level decoding. acs nano 13:4486-4495.

srilatha b (2017) a review on gene cloning and genome organization. biochem mol biol lett 3:122.

krishna gv (2017) department of biotechnology. j food sci res 2:110.

avila e, cavalheiro cp, felkl ab, graebin p, kahmann a, alho cs, et al. (2019) brazilian forensic casework analysis through mps applications: statistical weight-of-evidence and biological nature of criminal samples as an influence factor in quality metrics. forensic sci int 303:109938.

bahari a (2019) approaches to understanding diversity in rubber and carotenoid synthesis in hevea brasiliensis latex (doctoral dissertation, university of dundee).

del mar gonzález m, ramos a, aluja mp, santos c (2019) sensitivity of mitochondrial dna heteroplasmy detection using next generation sequencing. mitochondrion 50:88-93.

vlachos nt, meiklejohn ka, robertson jm (2018) an automated independent workflow for the analysis of massively parallel sequence data from forensic snp assays. electrophoresis 39: 2752-2756.

Babenko vn, gubanova nv, bragin ao, chadaeva iv, vasiliev gv, medvedeva iv, et al. (2017) computer analysis of glioma transcriptome profiling: alternative splicing events. j integr bioinform 14: 20170022.

krishna gv (2017) department of biotechnology. j food sci res 2:110.

jiang y, wang d (2018) liquid biopsy in the omics era of tumor medicine. open access j biomed eng appl 1: 115.

Joshi sv, jiwane r (2017) botnet detection using peer-to-peer approach in wireless networks. ijcsis 15:65-72.

Krishna gv (2017) department of biotechnology. j food sci res 2:110.

Zemouri r, zerhouni n, racoceanu d (2019) deep learning in the biomedical applications: recent and future status. appl sci 9:1526.

Tsigelny if (2018) artificial intelligence in drug combination therapy. brief bioinform 20:1434-1448

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