Jun Ying
Professor
Formerly Arkansas Affiliated with UAMS through 2021; recent publications list University of Colorado Anschutz, University of Cincinnati.
Upstream record may be merged OpenAlex, the source of these figures, lists 50 institutions in 6 countries for this author record — a pattern that usually means it combines several researchers with similar names. The totals above may include work by other people.
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Jun Ying's research investigates the application of computational methods and statistical modeling to address diverse health-related questions. His work has explored the correlation between imaging characteristics and histological outcomes in prostate cancer, the validation of case definitions for immune reconstitution syndrome in HIV patients, and the prediction of aspiration risk in individuals with ischemic stroke. Ying has also examined the effectiveness of surveillance strategies for hepatocellular carcinoma in clinical practice within the United States.
Further extending his research interests, Ying has contributed to studies on the association between environmental factors and health outcomes, including the relationship between agrichemicals in surface water and birth defects. He has also investigated the development and application of analytical techniques for determining specific compounds in biological and food samples, such as chloramphenicol and thiamphenicol in honey using liquid-liquid microextraction and high-performance liquid chromatography. His recent work includes the use of machine learning models to predict hearing outcomes in sudden sensorineural hearing loss.
Metrics
- h-index: 39
- Publications: 143
- Citations: 4,472
Positions
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Professor 2023–presentAnschutz Medical Campus, University of Colorado Family Medicine ORCID
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ProfessorUniversity of Arkansas for Medical Sciences ORCID
Selected Publications
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Sézary Syndrome Biomarker, T Cell Transcription Factors and Cytokine Genes Provide Novel Insight into Response During Mogamulizumab Treatment (2026)
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Survival Outcomes of Immune Checkpoint Inhibitors in Conjunction with Cranial Radiation for Older Adults with Non-Small Cell Lung Cancer and Synchronous Brain Metastasis (2025)
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Years of Potential Life Lost for Children and Adults With Congenital Heart Defects: United States, 2007 to 2017 (2025)
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Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection (2024)
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Immune checkpoint inhibitors as subsequent treatment in older adults with non-small cell lung cancer and synchronous brain metastases (2024)
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Maximizing Readmission Reduction in Colon Cancer Patients (2023)
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A Prospective Study Measuring Resident and Faculty Contour Concordance: A Potential Tool for Quantitative Assessment of Residents’ Performance in Contouring and Target Delineation in Radiation Oncology Residency (2023)
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Real-World Survival of First-Line Immune Checkpoint Inhibitor Treatment Versus Chemotherapy in Older Patients With Non–Small-Cell Lung Cancer and Synchronous Brain Metastases (2023)
Collaboration Network
Top Collaborators
- Immune Checkpoint Inhibitors—Associated Cardiotoxicity
- Real-World Survival of First-Line Immune Checkpoint Inhibitor Treatment Versus Chemotherapy in Older Patients With Non–Small-Cell Lung Cancer and Synchronous Brain Metastases
- Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection
- Maximizing Readmission Reduction in Colon Cancer Patients
- Immune checkpoint inhibitors as subsequent treatment in older adults with non-small cell lung cancer and synchronous brain metastases
Showing 5 of 6 shared publications
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- A 12 Gene Signature Accurately Predicts Multiple Myeloma Progression from Monoclonal Gammopathy of Undetermined Significance
- A Gene Signature Can Predict Risk of MGUS Progressing to Multiple Myeloma
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