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Immunome Research

Immunome Research
Open Access

ISSN: 1745-7580

+44-20-4587-4809

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)

tong jc, ren ec (2009) immunoinformatics: current trends and future directions. drug discovery today 14: 684-689.

yan q (2010) immunoinformatics and systems biology methods for personalized medicine. systems biology in drug discovery and development: methods and protocols pp: 203-220.

lata s, bhasin m, raghava gp (2009) mhcbn 4.0: a database of mhc/tap binding peptides and t-cell epitopes. bmc research notes 2: 61.

tomar n, de rk (2010) immunoinformatics: an integrated scenario. immunology 131: 153-168.

guan p, doytchinova ia, walshe va, borrow p, flower dr (2005) analysis of peptide− protein binding using amino acid descriptors: prediction and experimental verification for human histocompatibility complex hla-a* 0201. journal of medicinal chemistry 48: 7418-7425.

flower dr, macdonald ik, ramakrishnan k, davies mn, doytchinova ia (2010) computer aided selection of candidate vaccine antigens. immunome research 6: s1.

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

kirschner de, chang st, riggs tw, perry n, linderman jj (2007) toward a multiscale model of antigen presentation in immunity. immunological reviews 216: 93-118.

wan j, liu w, xu q, ren y, flower dr, li t (2006) svrmhc prediction server for mhc-binding peptides. bmc bioinformatics 7: 463.

liu w, meng x, xu q, flower dr, li t (2006) quantitative prediction of mouse class i mhc peptide binding affinity using support vector machine regression (svr) models. bmc bioinformatics 7: 182.

doytchinova ia, guan p, flower dr (2006) epijen: a server for multistep t cell epitope prediction. bmc bioinformatics 7: 131.

lafuente em, reche pa (2009) prediction of mhc-peptide binding: a systematic and comprehensive overview. current pharmaceutical design 15: 3209-3220.

yang x, yu x (2009) an introduction to epitope prediction methods and software. reviews in medical virology 19: 77-96.

nielsen m, lund o, buus s, lundegaard c (2010) mhc class ii epitope predictive algorithms. immunology 130: 319-328.

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

gonzalez mp, teran c, saiz-urra l, teijeira m (2008) variable selection methods in qsar: an overview. current topics in medicinal chemistry 8: 1606-1627.

greenbaum ja, andersen ph, blythe m, bui hh, cachau re, et al. (2007) towards a consensus on datasets and evaluation metrics for developing b‐cell epitope prediction tools. journal of molecular recognition. 20: 75-82.

wang p, sidney j, kim y, sette a, lund o, nielsen m, peters b (2010) peptide binding predictions for hla dr, dp and dq molecules. bmc bioinformatics 11: 568.

nielsen m, lundegaard c, lund o 2007() prediction of mhc class ii binding affinity using smm-align, a novel stabilization matrix alignment method. bmc bioinformatics 8: 238.

peters b, bui hh, frankild s, nielsen m, lundegaard c, et al. (2006) a community resource benchmarking predictions of peptide binding to mhc-i molecules. plos comput biol 2: e65.

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