Journal of Antivirals & Antiretrovirals : Citations & Metrics Report
Articles published in Journal of Antivirals & Antiretrovirals have been cited by esteemed scholars and scientists all around the world. Journal of Antivirals & Antiretrovirals has got h-index 22, which means every article in Journal of Antivirals & Antiretrovirals has got 22 average citations.
Following are the list of articles that have cited the articles published in Journal of Antivirals & Antiretrovirals.
| Journal total citations count | 2004 |
| Journal impact factor | 5.32 |
| Journal 5 years impact factor | 5.62 |
| Journal cite score | 5.3 |
| Journal h-index | 22 |
| Journal h-index since 2019 | 17 |
Important citations (1101)
mandal s, rath j (2015) glycoconjugates of cyanobacteria and potential drug development from them. inextremophilic cyanobacteria for novel drug development 45-62. |
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praveenya p, singh bk, sathish kumar d, kalyan p (2012) antibiotic resistance creating new epoch. j bacteriol parasitol 3: 2. |
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naga anusha p (2011) antiretroviral strategies for treatment of hiv. j antivir antiretrovir 1: 2. |
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stern d, pauly d, zydek m, miller l, piesker j, et al. (2016) development of a genus-specific antigen capture elisa for orthopoxviruses–target selection and optimized screening. plos one. 11: e0150110. |
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xiao r, zheng y (2016) overview of microalgal extracellular polymeric substances (eps) and their applications. biotechnology advances 34: 1225-1244. |
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falaise c, françois c, travers ma, morga b, haure j, et al. (2016) antimicrobial compounds from eukaryotic microalgae against human pathogens and diseases in aquaculture. marine drugs 14: 159. |
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de jesus raposo mf, de morais am, de morais rm (2015) bioactivity and applications of polysaccharides from marine microalgae. polysaccharides: bioactivity and biotechnology 1683-727. |
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de jesus raposo mf, de morais am, de morais rm (2014) influence of sulphate on the composition and antibacterial and antiviral properties of the exopolysaccharide from porphyridium cruentum. life sciences 101: 56-63. |
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de jesus raposo mf, de morais am, de morais rm (2015) marine polysaccharides from algae with potential biomedical applications. marine drugs 13: 2967-3028. |
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raposo mf, de morais rm, bernardo de morais am (2013) bioactivity and applications of sulphated polysaccharides from marine microalgae. marine drugs 11: 233-252. |
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adachi d, benedet m, tang jw, taylor gd (2014) comparative evaluation of roche's cobas ampliprep/cobas taqman hiv-1 test v2. 0 and abbott's realtime m2000sp/rt hiv-1 assay on ppts and edta samples. journal of clinical virology 60: 78-79. |
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naga anusha p (2011) antiretroviral strategies for treatment of hiv. j antivir antiretrovir 1: 2. |
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naga anusha p (2011) antiretroviral strategies for treatment of hiv. j antivir antiretrovir 1: 2. |
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hima bindu a, naga anusha p (2011) adverse effects of highly active anti-retroviral therapy (haart). j antivir antiretrovir 3: 060-064. |
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hossain mu, khan ma, abu hashem m, islam m, morshed mn, et al. (2016) finding potential therapeutic targets against shigella flexneri through proteome exploration. frontiers in microbiology 7. |
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ray m (2011) computational insight into druggable genome of rothia mucilaginosa for identification of potential drug targets (doctoral dissertation |
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angamuthua k, piramanayagama s (2012) ninsilico identification of putative drug targets in mycoplasma hominis using differential metabolic pathway analysis. int j pharm bio sci 3: 391-398. |
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hasan ma, khan ma, sharmin t, mazumder mh (2016) chowdhury as. identification of putative drug targets in vancomycin-resistant staphylococcus aureus (vrsa) using computer aided protein data analysis. gene 575: 132-143. |
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hasan ma, khan ma, sharmin t, mazumder mh (2016) chowdhury as. identification of putative drug targets in vancomycin-resistant staphylococcus aureus (vrsa) using computer aided protein data analysis. gene 575: 132-143. |
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rahman ma, noore ms, hasan ma, ullah mr, rahman mh, et al. (2014) identification of potential drug targets by subtractive genome analysis of bacillus anthracis a0248: an in silico approach. computational biology and chemistry 52: 66-72. |
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