Immunome Research

Immunome Research
Open Access

ISSN: 1745-7580

+44-77-2385-9429

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.

  2024 2023 2022 2021 2020 2019 2018 2017

Total published articles

30 37 20 40 13 7 20 17

Conference proceedings

0 0 0 0 0 0 99 44

Citations received as per Google Scholar, other indexing platforms and portals

74 82 94 111 117 98 76 71
Journal total citations count 952
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 2019 13
Important citations (1540)

vita r, vaughan k, zarebski l, salimi n, fleri w, et al. (2006) curation of complex, context-dependent immunological data. bmc bioinformatics 7: 341.

kim y, sette a, peters b (2011) applications for t-cell epitope queries and tools in the immune epitope database and analysis resource. journal of immunological methods 374: 62-69.

sollner j, grohmann r, rapberger r, perco p, lukas a, et al. (2008) analysis and prediction of protective continuous b-cell epitopes on pathogen proteins. immunome research 4: 1.

blythe mj, zhang q, vaughan k, de castro r, salimi n, et al. (2007) an analysis of the epitope knowledge related to mycobacteria. immunome research 3: 10.

peters b, sette a (2007) integrating epitope data into the emerging web of biomedical knowledge resources. nature reviews immunology 7: 485-490.

onda m, nagata s, fitzgerald dj, beers r, fisher rj, et al. (2006) characterization of the b cell epitopes associated with a truncated form of pseudomonas exotoxin (pe38) used to make immunotoxins for the treatment of cancer patients. the journal of immunology 177: 8822-8834.

huang j, honda w (2006) ced: a conformational epitope database. bmc immunology 7: 7.

dimitrov i, garnev p, flower dr, doytchinova i (2010) mhc class ii binding prediction—a little help from a friend. biomed research international.

doytchinova ia, flower dr (2006) modeling the peptide− t cell receptor interaction by the comparative molecular similarity indices analysis− soft independent modeling of class analogy technique. journal of medicinal chemistry 49: 2193-2199.

oyarzún p, ellis jj, bodén m, kobe b (2013) predivac: cd4+ t-cell epitope prediction for vaccine design that covers 95% of hla class ii dr protein diversity. bmc bioinformatics 14: 52.

amela i, cedano j, querol e (2007) pathogen proteins eliciting antibodies do not share epitopes with host proteins: a bioinformatics approach. plos one 2: e512.

mishra s, sinha s (2009) immunoinformatics and modeling perspective of t cell epitope-based cancer immunotherapy: a holistic picture. journal of biomolecular structure and dynamics 27: 293-305.

flower dr (2007) immunoinformatics and the in silico prediction of immunogenicity: an introduction. immunoinformatics: predicting immunogenicity in silico pp:1-5.

carmona sj, sartor pa, leguizamón ms, campetella oe, agüero f (2012) diagnostic peptide discovery: prioritization of pathogen diagnostic markers using multiple features. plos one 7: e50748.

doytchinova ia, flower dr (2007) predicting class i major histocompatibility complex (mhc) binders using multivariate statistics: comparison of discriminant analysis and multiple linear regression. journal of chemical information and modeling 47: 234-238.

sieker f, may a, zacharias m (2009) predicting affinity and specificity of antigenic peptide binding to major histocompatibility class i molecules. current protein and peptide science 10: 286-296.

dimitrov i, garnev p, flower dr, doytchinova i (2010) epitop—a proteochemometric tool for mhc class ii binding prediction. bioinformatics 26: 2066-2068.

chang ht, liu ch, pai tw (2008) estimation and extraction of b-cell linear epitopes predicted by mathematical morphology approaches. j mol recognit 21: 431-441.

tong jc, kong l, tan tw, ranganathan s (2006) mpid-t. applied bioinformatics 5: 111-114.

samarghitean c, väliaho j, vihinen m (2007) idr knowledge base for primary immunodeficiencies. immunome research 3: 6.

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