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)

giguère s, marchand m, laviolette f, drouin a, corbeil j (2013) learning a peptide-protein binding affinity predictor with kernel ridge regression. bmc bioinformatics 14: 82.

copin r, coscollá m, efstathiadis e, gagneux s, ernst jd (2014) impact of in vitro evolution on antigenic diversity of mycobacterium bovis bacillus calmette-guerin (bcg). vaccine 32: 5998-6004.

otten hg, calis jj, keÅŸmir c, van zuilen ad, spierings e (2013) predicted indirectly recognizable hla epitopes presented by hla-dr correlate with the de novo development of donor-specific hla igg antibodies after kidney transplantation. human immunology 74: 290-296.

paul s, kolla rv, sidney j, weiskopf d, fleri w, et al. (2013) evaluating the immunogenicity of protein drugs by applying in vitro mhc binding data and the immune epitope database and analysis resource. clinical and developmental immunology.

chaves fa, lee ah, nayak jl, richards ka, sant aj (2012) the utility and limitations of current web-available algorithms to predict peptides recognized by cd4 t cells in response to pathogen infection. the journal of immunology 188: 4235-4248.

iurescia s, fioretti d, fazio vm, rinaldi m (2012) epitope-driven dna vaccine design employing immunoinformatics against b-cell lymphoma: a biotech's challenge. biotechnology advances 30: 372-383.

lundegaard c, lund o, nielsen m (2012) predictions versus high-throughput experiments in t-cell epitope discovery: competition or synergy?. expert review of vaccines 11: 43-54.

alfirevic a, gonzalez-galarza f, bell c, martinsson k, platt v, bretland g, et al. (2012) in silico analysis of hla associations with drug-induced liver injury: use of a hla-genotyped dna archive from healthy volunteers. genome medicine 4: 51.

kimchi-sarfaty c, schiller t, hamasaki-katagiri n, khan ma, yanover c, et al. (2013) building better drugs: developing and regulating engineered therapeutic proteins. trends in pharmacological sciences 34: 534-548.

olsen lr, zhang gl, reinherz el, brusic v (2011) flavidb: a data mining system for knowledge discovery in flaviviruses with direct applications in immunology and vaccinology. immunome research 7.

copin r, coscollá m, seiffert sn, bothamley g, sutherland j, et al. (2014) sequence diversity in the pe_pgrs genes of mycobacterium tuberculosis is independent of human t cell recognition. mbio 5: e00960-13.

pascal m, konstantinou gn, masilamani m, lieberman j, sampson ha (2013) in silico prediction of ara h 2 t cell epitopes in peanut‐allergic children. clinical & experimental allergy 43: 116-127.

zhang l, chen y, wong hs, zhou s, mamitsuka h, et al. (2012) tepitopepan: extending tepitope for peptide binding prediction covering over 700 hla-dr molecules. plos one 7: e30483.

king c, garza en, mazor r, linehan jl, pastan i,et al. (2014) removing t-cell epitopes with computational protein design. proceedings of the national academy of sciences 111: 8577-8582.

zhang l, udaka k, mamitsuka h, zhu s (2012) toward more accurate pan-specific mhc-peptide binding prediction: a review of current methods and tools. briefings in bioinformatics 13: 350-364.

karosiene e, rasmussen m, blicher t, lund o, buus s,et al. (2013) netmhciipan-3.0, a common pan-specific mhc class ii prediction method including all three human mhc class ii isotypes, hla-dr, hla-dp and hla-dq. immunogenetics. 65: 711-724.

varrin‐doyer m, spencer cm, schulze‐topphoff u, nelson pa, stroud rm, et al. (2012) aquaporin 4‐specific t cells in neuromyelitis optica exhibit a th17 bias and recognize clostridium abc transporter. annals of neurology 72: 53-64.

kim y, ponomarenko j, zhu z, tamang d, wang p, et al. (2012) immune epitope database analysis resource. nucleic acids research.

sidney j, southwood s, moore c, oseroff c, pinilla c,et al. (2013) measurement of mhc/peptide interactions by gel filtration or monoclonal antibody capture. current protocols in immunology pp: 18-23.

章文, and 吴伟坚. "b 细胞表位数据库与预测方法." (2013).

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