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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)

huang y, li y, burt dw, chen h, zhang y, et al. (2013) the duck genome and transcriptome provide insight into an avian influenza virus reservoir species. nature genetics 45: 776-783.

chen rf, wang l, cheng jt, yang kd (2012) induction of ifnα or il-12 depends on differentiation of thp-1 cells in dengue infections without and with antibody enhancement. bmc infectious diseases 12: 340.

lefranc mp (2013) imgt-ontology, functiontype. inencyclopedia of systems biology, springer new york, pp: 977-978.

petrovsky n (2011) immunome research—five years on. immunome research 7: 1-4.

Thomas-vaslin v, six a, ganascia jg, bersini h (2013) dynamical and mechanistic reconstructive approaches of t lymphocyte dynamics: using visual modeling languages to bridge the gap between immunologists, theoreticians, and programmers. frontiers in immunology 4: 300.

Tufail s, owais m, kazmi s, balyan r, khalsa jk, faisal sm, sherwani ma, gatoo ma, umar ms, zubair s. amyloid form of ovalbumin evokes native antigen-specific immune response in the host. journal of biological chemistry. 2015 feb 13;290(7):4131-48.

guardia gd, vêncio rz, de farias cr (2012) a uml profile for the obo relation ontology. bmc genomics 13: s3.

Giudicelli v, lefranc mp (2012) imgt-ontology 2012. frontiers in genetics 3: 79.

Pappalardo f, forero im, pennisi m, palazon a, melero i, et al. (2011) simb16: modeling induced immune system response against b16-melanoma. plos one 6: e26523.

srinivasan m, dunker ak (2012) proline rich motifs as drug targets in immune mediated disorders. international journal of peptides.

Nishigami h, kamiya n, nakamura h (2016) revisiting antibody modeling assessment for cdr-h3 loop. protein engineering design and selection 29: 477-4784.

Kamiya n, mashimo t, takano y, kon t, kurisu g, et al. (2016) elastic properties of dynein motor domain obtained from all-atom molecular dynamics simulations. protein engineering design and selection.

Kinjo ar, bekker gj, suzuki h, tsuchiya y, kawabata t,et al. (2016) protein data bank japan (pdbj): updated user interfaces, resource description framework, analysis tools for large structures. nucleic acids research.

Nakano rt, pi��lewska�bednarek m, yamada k, edger pp, miyahara m, et al. (2016) pyk10 myrosinase reveals a functional coordination between endoplasmic reticulum bodies and glucosinolates in arabidopsis thaliana. the plant journal.

masuda k, ripley b, nyati kk, dubey pk, zaman mm, et al. (2016) arid5a regulates naive cd4+ t cell fate through selective stabilization of stat3 mrna. journal of experimental medicine.

liang s, zhang c, sarmiento j, standley d (2012) protein loop modeling with optimized backbone potential functions. journal of chemical theory and computation 8: 1820-1827.

yamashita k, ikeda k, amada k, liang s, tsuchiya y, et al. (2014) kotai antibody builder: automated high-resolution structural modeling of antibodies. bioinformatics 30: 3279-3280.

li s, yamashita k, amada km, standley dm (2014) quantifying sequence and structural features of protein–rna interactions. nucleic acids research.

hirata y, funato y, takano y, miki h (2014) mg2+-dependent interactions of atp with the cystathionine-β-synthase (cbs) domains of a magnesium transporter. journal of biological chemistry 289: 14731-14739.

shirai h, ikeda k, yamashita k, tsuchiya y, sarmiento j, et al. (2014) high‐resolution modeling of antibody structures by a combination of bioinformatics, expert knowledge, and molecular simulations. proteins: structure, function, and bioinformatics 82: 1624-1635.

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