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Cited by in F6Publishing
For: Poleszczuk J, Walker R, Moros EG, Latifi K, Caudell JJ, Enderling H. Predicting Patient-Specific Radiotherapy Protocols Based on Mathematical Model Choice for Proliferation Saturation Index. Bull Math Biol 2018;80:1195-206. [PMID: 28681150 DOI: 10.1007/s11538-017-0279-0] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Zahid MU, Mohsin N, Mohamed ASR, Caudell JJ, Harrison LB, Fuller CD, Moros EG, Enderling H. Forecasting Individual Patient Response to Radiation Therapy in Head and Neck Cancer With a Dynamic Carrying Capacity Model. Int J Radiat Oncol Biol Phys 2021;111:693-704. [PMID: 34102299 DOI: 10.1016/j.ijrobp.2021.05.132] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
2 Enderling H, Wolkenhauer O. Are all models wrong? Comput Syst Oncol 2020;1:e1008. [PMID: 33585835 DOI: 10.1002/cso2.1008] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Lewin TD, Byrne HM, Maini PK, Caudell JJ, Moros EG, Enderling H. The importance of dead material within a tumour on the dynamics in response to radiotherapy. Phys Med Biol 2020;65:015007. [DOI: 10.1088/1361-6560/ab4c27] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
4 Sunassee ED, Tan D, Ji N, Brady R, Moros EG, Caudell JJ, Yartsev S, Enderling H. Proliferation saturation index in an adaptive Bayesian approach to predict patient-specific radiotherapy responses. Int J Radiat Biol 2019;95:1421-6. [PMID: 30831050 DOI: 10.1080/09553002.2019.1589013] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 3.7] [Reference Citation Analysis]
5 Nourollahi S, Ghate A, Kim M. Optimal modality selection in external beam radiotherapy. Math Med Biol 2019;36:361-80. [PMID: 30192934 DOI: 10.1093/imammb/dqy013] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Bekker RA, Kim S, Pilon-thomas S, Enderling H. Mathematical modeling of radiotherapy and its impact on tumor interactions with the immune system. Neoplasia 2022;28:100796. [DOI: 10.1016/j.neo.2022.100796] [Reference Citation Analysis]
7 Rockne RC, Hawkins-Daarud A, Swanson KR, Sluka JP, Glazier JA, Macklin P, Hormuth DA, Jarrett AM, Lima EABF, Tinsley Oden J, Biros G, Yankeelov TE, Curtius K, Al Bakir I, Wodarz D, Komarova N, Aparicio L, Bordyuh M, Rabadan R, Finley SD, Enderling H, Caudell J, Moros EG, Anderson ARA, Gatenby RA, Kaznatcheev A, Jeavons P, Krishnan N, Pelesko J, Wadhwa RR, Yoon N, Nichol D, Marusyk A, Hinczewski M, Scott JG. The 2019 mathematical oncology roadmap. Phys Biol 2019;16:041005. [PMID: 30991381 DOI: 10.1088/1478-3975/ab1a09] [Cited by in Crossref: 64] [Cited by in F6Publishing: 43] [Article Influence: 21.3] [Reference Citation Analysis]
8 Kühleitner M, Brunner N, Nowak WG, Renner-Martin K, Scheicher K. Best fitting tumor growth models of the von Bertalanffy-PütterType. BMC Cancer 2019;19:683. [PMID: 31299926 DOI: 10.1186/s12885-019-5911-y] [Cited by in Crossref: 10] [Cited by in F6Publishing: 2] [Article Influence: 3.3] [Reference Citation Analysis]
9 Stéphanou A, Ballet P, Powathil G, Volpert V. Hybrid data-based modelling in oncology: successes, challenges and hopes. Math Model Nat Phenom 2020;15:21. [DOI: 10.1051/mmnp/2019026] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Poleszczuk J, Enderling H. The Optimal Radiation Dose to Induce Robust Systemic Anti-Tumor Immunity. Int J Mol Sci. 2018;19. [PMID: 30380596 DOI: 10.3390/ijms19113377] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 5.3] [Reference Citation Analysis]
11 Aherne NJ, Dhawan A, Scott JG, Enderling H. Mathematical oncology and it's application in non melanoma skin cancer - A primer for radiation oncology professionals. Oral Oncol 2020;103:104473. [PMID: 32109841 DOI: 10.1016/j.oraloncology.2019.104473] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
12 Anderson ARA, Maini PK. Mathematical Oncology. Bull Math Biol 2018;80:945-53. [PMID: 29679280 DOI: 10.1007/s11538-018-0423-5] [Cited by in Crossref: 26] [Cited by in F6Publishing: 15] [Article Influence: 8.7] [Reference Citation Analysis]
13 Enderling H, Alfonso JCL, Moros E, Caudell JJ, Harrison LB. Integrating Mathematical Modeling into the Roadmap for Personalized Adaptive Radiation Therapy. Trends Cancer 2019;5:467-74. [PMID: 31421904 DOI: 10.1016/j.trecan.2019.06.006] [Cited by in Crossref: 17] [Cited by in F6Publishing: 13] [Article Influence: 5.7] [Reference Citation Analysis]
14 Kimmel GJ, Locke FL, Altrock PM. The roles of T cell competition and stochastic extinction events in chimeric antigen receptor T cell therapy. Proc Biol Sci 2021;288:20210229. [PMID: 33757357 DOI: 10.1098/rspb.2021.0229] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
15 Alfonso JCL, Grass GD, Welsh E, Ahmed KA, Teer JK, Pilon-Thomas S, Harrison LB, Cleveland JL, Mulé JJ, Eschrich SA, Torres-Roca JF, Enderling H. Tumor-immune ecosystem dynamics define an individual Radiation Immune Score to predict pan-cancer radiocurability. Neoplasia 2021;23:1110-22. [PMID: 34619428 DOI: 10.1016/j.neo.2021.09.003] [Reference Citation Analysis]
16 Schniewind I, Hadiwikarta WW, Grajek J, Poleszczuk J, Richter S, Peitzsch M, Müller J, Klusa D, Beyreuther E, Löck S, Lühr A, Frosch S, Groeben C, Sommer U, Krause M, Dubrovska A, von Neubeck C, Kurth I, Peitzsch C. Cellular plasticity upon proton irradiation determines tumor cell radiosensitivity. Cell Rep 2022;38:110422. [PMID: 35196495 DOI: 10.1016/j.celrep.2022.110422] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]