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Immunome Research

Immunome Research
Open Access

ISSN: 1745-7580

Immunome Research : Citations & Metrics Report

Articles published in Immunome Research have been cited by esteemed scholars and scientists all around the world. Immunome Research has got h-index 15, which means every article in Immunome Research has got 15 average citations.

Following are the list of articles that have cited the articles published in Immunome Research.

  2021 2020 2019 2018

Year wise published articles

40 13 7 20

Year wise citations received

111 109 84 74
Journal total citations count 817
Journal impact factor 9.00
Journal 5 years impact factor 10.13
Journal cite score 13.75
Journal h-index 15
Journal h-index since 2018 13
Important citations (1540)

bremel rd, inventor; iogenetics, llc, assignee (2014) mathematical processes for determination of peptidase cleavage. united states patent application us 14/895,748.

bremel rd, inventor; iogenetics, llc, assignee (2014) mathematical processes for determination of peptidase cleavage. united states patent application us 14/895,748.

jucaud v (2016) the immunogenicity of hla class ii mismatches: the predicted presentation of non-self allo-hla-derived peptide by the hla-dr phenotype of the recipient is associated with the formation of dsa.

vázquez-prieto s, paniagua e, ubeira fm, gonzález-díaz h (2015) qspr-perturbation models for the prediction of b-epitopes from immune epitope database: a potentially valuable route for predicting “in silico” new optimal peptide sequences and/or boundary conditions for vaccine development. international journal of peptide research and therapeutics 22: 445-450.

muthusamy k, gopinath k, nandhini d (2016) computational prediction of immunodominant antigenic regions & potential protective epitopes for dengue vaccination. indian journal of medical research 144: 587.

bremel rd, homan ej (2015) extensive t-cell epitope repertoire sharing among human proteome, gastrointestinal microbiome, and pathogenic bacteria: implications for the definition of self. frontiers in immunology 6.

gonzález-díaz h, pérez-montoto lg, ubeira fm (2014) model for vaccine design by prediction of b-epitopes of iedb given perturbations in peptide sequence, in vivo process, experimental techniques, and source or host organisms. journal of immunology research.

farrell d, gordon sv (2015) epitopemap: a web application for integrated whole proteome epitope prediction. bmc bioinformatics 16: 221.

homan ej, bremel rd (2014) are cases of mumps in vaccinated patients attributable to mismatches in both vaccine t-cell and b-cell epitopes? an immunoinformatic analysis. human vaccines & immunotherapeutics 10: 290-300.

bremel rd, homan ej (2013) recognition of higher order patterns in proteins: immunologic kernels. plos one 8: e70115.

homan ej, bremel rd (2011) patterns of predicted t-cell epitopes associated with antigenic drift in influenza h3n2 hemagglutinin. plos one 6: e26711.

bremel rd, homan ej (2014) frequency patterns of t-cell exposed amino acid motifs in immunoglobulin heavy chain peptides presented by mhcs. frontiers in immunology 5: 541.

chen f, wu c, pan l, xu f, liu x, et al. (2013) cross-species association of quail invariant chain with chicken and mouse mhc ii molecules. developmental & comparative immunology 40: 20-27.

antunes da, rigo mm, silva jp, cibulski sp, sinigaglia m, et al. (2011) structural in silico analysis of cross-genotype-reactivity among naturally occurring hcv ns3-1073-variants in the context of hla-a* 02: 01 allele. molecular immunology 48: 1461-1467.

bremel rd, homan ej (2010) an integrated approach to epitope analysis i: dimensional reduction, visualization and prediction of mhc binding using amino acid principal components and regression approaches. immunome research 6: 7.

malone rw, homan j, callahan mv, glasspool-malone j, damodaran l,et al. (2016) zika virus: medical countermeasure development challenges. plos negl trop dis 10: e0004530.

homan j, malone rw, darnell sj, bremel rd (2016) antibody mediated epitope mimicry in the pathogenesis of zika virus related disease. biorxiv.

uslan v, seker h (2015) the quantitative prediction of hla-b* 2705 peptide binding affinities using support vector regression to gain insights into its role for the spondyloarthropathies. inengineering in medicine and biology society (embc), 2015 37th annual international conference of the ieee pp: 7651-7654.

uslan v, seker h (2013) support vector-based fuzzy system for the prediction of mouse class i mhc peptide binding affinity. inbioinformatics and bioengineering (bibe), 2013 ieee 13th international conference pp: 1-4.

uslan v (2016) support vector machine-based fuzzy systems for quantitative prediction of peptide binding affinity.

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