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Cited by in CrossRef
For: Patel MA, Kim JE, Ruzevick J, Lim M. Present and future of immune checkpoint blockade: Monotherapy to adjuvant approaches. World J Immunol 2015; 5(1): 1-15 [DOI: 10.5411/wji.v5.i1.1]
URL: https://www.wjgnet.com/2219-2824/full/v5/i1/1.htm
Number Citing Articles
1
Diana Martins, Dylan E. O’Sullivan, Devon J. Boyne, Winson Y. Cheung, Odette Allonby, Mara Habash, Darren R. Brenner, Justin Riemer, Jacob McGee. Understanding Characteristics, Treatment Patterns, and Clinical Outcomes for Individuals with Advanced or Recurrent Endometrial Cancer in Alberta, Canada: A Retrospective, Population-Based Cohort StudyCurrent Oncology 2023; 30(2): 2277 doi: 10.3390/curroncol30020176
2
Hamzah Abu-Sbeih, Tenglong Tang, Faisal Shaukat Ali, Daniel Hartman Johnson, Wei Qiao, Adi Diab, Yinghong Wang. The Impact of Immune Checkpoint Inhibitor-Related Adverse Events and Their Immunosuppressive Treatment on Patients’ OutcomesJournal of Immunotherapy and Precision Oncology 2018; 1(1): 7 doi: 10.4103/JIPO.JIPO_12_18
3
B. Vijayalakshmi Ayyar, Sushrut Arora, Richard O’Kennedy. Coming-of-Age of Antibodies in Cancer TherapeuticsTrends in Pharmacological Sciences 2016; 37(12): 1009 doi: 10.1016/j.tips.2016.09.005
4
Ali Cakmak, Huzeyfe Ayaz, Soykan Arıkan, Ali R. Ibrahimzada, Şeyda Demirkol, Dilara Sönmez, Mehmet T. Hakan, Saime T. Sürmen, Cem Horozoğlu, Mehmet B. Doğan, Özlem Küçükhüseyin, Canan Cacına, Bayram Kıran, Ümit Zeybek, Mehmet Baysan, İlhan Yaylım. Predicting the predisposition to colorectal cancer based on SNP profiles of immune phenotypes using supervised learning modelsMedical & Biological Engineering & Computing 2023; 61(1): 243 doi: 10.1007/s11517-022-02707-9