Okpara, Chinyere E
6 papers on CoChatORCID 0000-0002-5621-9138
Most cited papers
- Verified
Lenvatinib with etoposide plus ifosfamide in patients with refractory or relapsed osteosarcoma (ITCC-050): a multicentre, open-label, multicohort, phase 1/2 study
Gaspar, N., Venkatramani, R., Hecker-Nolting, S., Melcon, S. G., Locatelli, F., Bautista, F., Longhi, A., Lervat, C., Entz-Werle, N., Casanova, M., et al. (2021) · The Lancet Oncology
Sarcoma Diagnosis and TreatmentBone Tumor Diagnosis and Treatments
Cited by 89
- Verified
Phase I/II study of single-agent lenvatinib in children and adolescents with refractory or relapsed solid malignancies and young adults with osteosarcoma (ITCC-050)☆
Gaspar, N., Campbell-Hewson, Q., Gallego Melcon, S., Locatelli, F., Venkatramani, R., Hecker-Nolting, S., Gambart, M., Bautista, F., Thebaud, E., Aerts, I., et al. (2021) · ESMO Open
Sarcoma Diagnosis and TreatmentOvarian cancer diagnosis and treatment
Cited by 59
- Verified
Lenvatinib Plus Ifosfamide and Etoposide in Children and Young Adults With Relapsed Osteosarcoma
Gaspar, N., Hung, G.-Y., Strauss, S. J., Campbell-Hewson, Q., Dela Cruz, F. S., Glade Bender, J. L., Koh, K.-N., Whittle, S. B., Chan, G. C.-F., Gerber, N. U., et al. (2024) · JAMA Oncology
Sarcoma Diagnosis and TreatmentBone Tumor Diagnosis and Treatments
Cited by 28
- Verified
Paediatric Strategy Forum for medicinal product development of multi-targeted kinase inhibitors in bone sarcomas
Pearson, A. D., Gaspar, N., Janeway, K., Campbell-Hewson, Q., Lawlor, E. R., Copland, C., Karres, D., Norga, K., Benzaghou, F., Weiner, S., et al. (2022) · European Journal of Cancer
Sarcoma Diagnosis and TreatmentPharmaceutical studies and practices
Cited by 22
- Verified
OLIE, ITCC-082: A Phase II Trial of Lenvatinib Plus Ifosfamide and Etoposide in Relapsed/Refractory Osteosarcoma
Gaspar, N., Campbell-Hewson, Q., Huang, J., Okpara, C. E., & Bautista, F. (2021) · Future Oncology
Sarcoma Diagnosis and TreatmentBone Tumor Diagnosis and Treatments
Cited by 9
- Verified
Developing a computable phenotype for identifying children, adolescents, and young adults with diabetes using electronic health records in the DiCAYA Network.
Shao, H., Thorpe, L. E., Islam, S., Bian, J., Guo, Y., Li, P., Bost, S., Dabelea, D., Conway, R., Crume, T., et al. (2025) · Diabetes Care
Machine Learning in HealthcareMedical Coding and Health Information
Cited by 8
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