Connection
John Morton to Disease Models, Animal
This is a "connection" page, showing publications John Morton has written about Disease Models, Animal.
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Connection Strength |
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0.830 |
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Morton JJ, Keysar SB, Perrenoud L, Chimed TS, Reisinger J, Jackson B, Le PN, Nieto C, Gomez K, Miller B, Gao D, Somerset H, Wang XJ, Jimeno A. Dual use of hematopoietic and mesenchymal stem cells enhances engraftment and immune cell trafficking in an allogeneic humanized mouse model of head and neck cancer. Mol Carcinog. 2018 11; 57(11):1651-1663.
Score: 0.323
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Morton JJ, Bird G, Refaeli Y, Jimeno A. Humanized Mouse Xenograft Models: Narrowing the Tumor-Microenvironment Gap. Cancer Res. 2016 11 01; 76(21):6153-6158.
Score: 0.281
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Morton JJ, Alzofon N, Keysar SB, Chimed TS, Reisinger J, Perrenoud L, Le PN, Nieto C, Gomez K, Miller B, Yeager R, Gao D, Tan AC, Somerset H, Medina T, Wang XJ, Wang JH, Robinson W, Roop DR, Gonzalez R, Jimeno A. Studying Immunotherapy Resistance in a Melanoma Autologous Humanized Mouse Xenograft. Mol Cancer Res. 2021 02; 19(2):346-357.
Score: 0.094
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Morton JJ, Alzofon N, Jimeno A. The humanized mouse: Emerging translational potential. Mol Carcinog. 2020 07; 59(7):830-838.
Score: 0.090
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Chowdhury FN, Reisinger J, Gomez KE, Chimed TS, Thomas CM, Le PN, Miller B, Morton JJ, Nieto CM, Somerset HL, Wang XJ, Keysar SB, Jimeno A. Leading edge or tumor core: Intratumor cancer stem cell niches in oral cavity squamous cell carcinoma and their association with stem cell function. Oral Oncol. 2019 11; 98:118-124.
Score: 0.022
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Keysar SB, Eagles JR, Miller B, Jackson BC, Chowdhury FN, Reisinger J, Chimed TS, Le PN, Morton JJ, Somerset HL, Varella-Garcia M, Tan AC, Song JI, Bowles DW, Reyland ME, Jimeno A. Salivary Gland Cancer Patient-Derived Xenografts Enable Characterization of Cancer Stem Cells and New Gene Events Associated with Tumor Progression. Clin Cancer Res. 2018 06 15; 24(12):2935-2943.
Score: 0.020
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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