+44-77-2385-9429Immunome 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)
Schotsaert m, ibañez li, fiers w, saelens x. controlling influenza by cytotoxic t-cells: calling for help from destroyers. biomed research international. 2010 may 24;2010. |
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Toussaint nc, kohlbacher o. towards in silico design of epitope-based vaccines. expert opinion on drug discovery. 2009 oct 1;4(10):1047-60. |
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Geneugelijk k, thus ka, spierings e. predicting alloreactivity in transplantation. journal of immunology research. 2014 apr 28;2014. |
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Mishra s, sinha s. immunoinformatics and modeling perspective of t cell epitope-based cancer immunotherapy: a holistic picture. journal of biomolecular structure and dynamics. 2009 dec 1;27(3):293-305. |
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Sieker f, may a, zacharias m. predicting affinity and specificity of antigenic peptide binding to major histocompatibility class i molecules. current protein and peptide science. 2009 jun 1;10(3):286-96. |
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Deluca ds, khattab b, blasczyk r. a modular concept of hla for comprehensive peptide binding prediction. immunogenetics. 2007 jan 1;59(1):25-35. |
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Diezâ€rivero cm, chenlo b, zuluaga p, reche pa. quantitative modeling of peptide binding to tap using support vector machine. proteins: structure, function, and bioinformatics. 2010 jan 1;78(1):63-72. |
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Brusic v, marina o, wu cj, reinherz el. proteome informatics for cancer research: from molecules to clinic. proteomics. 2007 mar 1;7(6):976-91. |
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Lundegaard c, hoof i, lund o, nielsen m. state of the art and challenges in sequence based t-cell epitope prediction. immunome research. 2010 nov 3;6(2):s3. |
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Lata s, bhasin m, raghava gp. mhcbn 4.0: a database of mhc/tap binding peptides and t-cell epitopes. bmc research notes. 2009 apr 20;2(1):61. |
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Tomar n, de rk. immunoinformatics: an integrated scenario. immunology. 2010 oct 1;131(2):153-68. |
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Jawa v, cousens lp, awwad m, wakshull e, kropshofer h, de groot as. t-cell dependent immunogenicity of protein therapeutics: preclinical assessment and mitigation. clinical immunology. 2013 dec 31;149(3):534-55. |
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Patronov a, doytchinova i. t-cell epitope vaccine design by immunoinformatics. open biology. 2013 jan 1;3(1):120139. |
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Tong jc, tan tw, ranganathan s. methods and protocols for prediction of immunogenic epitopes. briefings in bioinformatics. 2007 mar 1;8(2):96-108. |
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lundegaard c, lund o, keÅŸmir c, brunak s, nielsen m. modeling the adaptive immune system: predictions and simulations. bioinformatics. 2007 dec 15;23(24):3265-75. |
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Kessler jh, melief cj. identification of t-cell epitopes for cancer immunotherapy. leukemia. 2007 sep 1;21(9):1859-74. |
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davies mn, flower dr. harnessing bioinformatics to discover new vaccines. drug discovery today. 2007 may 31;12(9):389-95. |
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carter cc (2012) vaccinia and other viruses with available vaccines show marked homology with the hiv-1 envelope glycoprotein: the prospect of using existing vaccines to stem the aids pandemic. immunopharmacol immunotoxicol 34: 222-231. |
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valdivia-granda wa (2012) biodefense oriented genomic-based pathogen classification systems: challenges and opportunities. journal of bioterrorism & biodefense 3: 1000113. |
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eberhardt m, lai x, tomar n, gupta s, schmeck b, et al. (2016) third-kind encounters in biomedicine: immunology meets mathematics and informatics to become quantitative and predictive. systems medicine pp: 135-179. |
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