Biography and Research Information
OverviewAI-generated summary
Justin J. Thomas's research focuses on cancer treatment outcomes and advanced medical imaging techniques. He has investigated treatment patterns, care, and survival for adrenocortical carcinoma, as well as the use of radiotherapy in cervical cancer, including predictors of follow-up compliance. His work also includes the three-dimensional anatomical location of osteoradionecrosis of the mandible and the development of prognostic models for metastatic uterine cancer using machine learning. Thomas has explored the cognitive and gut microbiome implications of chemotherapy regimens and the applications and future directions of personalized brachytherapy. His scholarship metrics include an h-index of 4 with 17 publications and 42 citations. He has collaborated with researchers such as Michael S. Robeson, Beth Cronin, Christa Corley, and Vijayalakshmi Sridharan at the University of Arkansas for Medical Sciences.
Metrics
- h-index: 4
- Publications: 17
- Citations: 44
Selected Publications
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Implications of cyclophosphamide, methotrexate, and 5-fluorouracil chemotherapy on hippocampal-dependent cognition and gut microbiome (2025)
Collaboration Network
Top Collaborators
- Predictors of follow-up non-compliance after definitive radiotherapy for locally advanced cervical cancer at a community cancer center
- EP117/#831 Are we underutilizing stereotactic body radiotherapy in the treatment of oligometastatic uterine cancer?
- EV114/#920 Machine learning-based prognostic stratification of solitary uterine cancer metastases: a national cancer database study
- Recursive Partitioning and Nomogram Development for Survival Prediction in Metastatic Uterine Cancer
- Endoscopic assessment of radiological stage IVA cervical cancer: A bivariate meta-analysis supporting an evidence-based staging algorithm proposal
- Three-dimensional (3D) anatomic location, extension, and timing of severe osteoradionecrosis of the mandible
- Predictors of follow-up non-compliance after definitive radiotherapy for locally advanced cervical cancer at a community cancer center
- Endoscopic assessment of radiological stage IVA cervical cancer: A bivariate meta-analysis supporting an evidence-based staging algorithm proposal
- Predictors of follow-up non-compliance after definitive radiotherapy for locally advanced cervical cancer at a community cancer center
- Recursive Partitioning and Nomogram Development for Survival Prediction in Metastatic Uterine Cancer
- Endoscopic assessment of radiological stage IVA cervical cancer: A bivariate meta-analysis supporting an evidence-based staging algorithm proposal
- Predictors of follow-up non-compliance after definitive radiotherapy for locally advanced cervical cancer at a community cancer center
- Recursive Partitioning and Nomogram Development for Survival Prediction in Metastatic Uterine Cancer
- Three-dimensional (3D) anatomic location, extension, and timing of severe osteoradionecrosis of the mandible
- Epidemiology
- Good questions
- Predictors of follow-up non-compliance after definitive radiotherapy for locally advanced cervical cancer at a community cancer center
- EV114/#920 Machine learning-based prognostic stratification of solitary uterine cancer metastases: a national cancer database study
- Recursive Partitioning and Nomogram Development for Survival Prediction in Metastatic Uterine Cancer
- EP117/#831 Are we underutilizing stereotactic body radiotherapy in the treatment of oligometastatic uterine cancer?
- EV114/#920 Machine learning-based prognostic stratification of solitary uterine cancer metastases: a national cancer database study
- Recursive Partitioning and Nomogram Development for Survival Prediction in Metastatic Uterine Cancer
- Endoscopic assessment of radiological stage IVA cervical cancer: A bivariate meta-analysis supporting an evidence-based staging algorithm proposal
- Three-dimensional (3D) anatomic location, extension, and timing of severe osteoradionecrosis of the mandible
- Predictors of follow-up non-compliance after definitive radiotherapy for locally advanced cervical cancer at a community cancer center
- Recursive Partitioning and Nomogram Development for Survival Prediction in Metastatic Uterine Cancer
- Intravenous thrombolysis as vision saving therapy in case of acute onset BRAO
- Stroke as presentation of cancer embolism in a patient with carcinoma tongue with pulmonary metastasis
- EV114/#920 Machine learning-based prognostic stratification of solitary uterine cancer metastases: a national cancer database study
- Recursive Partitioning and Nomogram Development for Survival Prediction in Metastatic Uterine Cancer
- EV114/#920 Machine learning-based prognostic stratification of solitary uterine cancer metastases: a national cancer database study
- Recursive Partitioning and Nomogram Development for Survival Prediction in Metastatic Uterine Cancer
- Stage Presentation, Care Patterns, Treatment Outcomes, and Impact of Radiotherapy on Overall Survival for Adrenocortical Carcinoma
- Endoscopic assessment of radiological stage IVA cervical cancer: A bivariate meta-analysis supporting an evidence-based staging algorithm proposal
- Endoscopic assessment of radiological stage IVA cervical cancer: A bivariate meta-analysis supporting an evidence-based staging algorithm proposal
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