Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Kim Gates' research focuses on the intersection of cardiovascular health and infectious disease, particularly in the context of COVID-19. Recent publications have investigated the relationship between HDL cholesterol levels and susceptibility to COVID-19 infection, suggesting a protective role for higher HDL concentrations. Further work has explored outcomes related to atrial fibrillation in patients undergoing chemotherapy and stem cell transplantation for multiple myeloma.
Gates has a demonstrated history of collaboration with colleagues at the University of Arkansas for Medical Sciences, including Ahmad Baghal, Subhi J. Al’Aref, Jawahar L. Mehta, and Mahesh Bavineni, with whom they have co-authored multiple publications. Their work contributes to a broader understanding of disease mechanisms and patient outcomes within the medical field.
Metrics
- h-index: 3
- Publications: 5
- Citations: 112
Positions
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Project Manager publications 2020–2023University of Arkansas for Medical Sciences Institution web page
Selected Publications
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TO STUDY THE OUTCOMES OF ATRIAL FIBRILLATION IN THE PATIENTS WITH MULTIPLE MYELOMA AFTER CHEMOTHERAPY AND AUTOLOGOUS STEM CELL TRANSPLANT AT THE MYELOMA CENTER, UNIVERSITY OF ARKANSAS FOR MEDICAL SCIENCES (UAMS), LITTLE ROCK, AR (2023)
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HDL cholesterol levels and susceptibility to COVID-19 (2022)
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Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection (2022)
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Chest imaging representing a COVID-19 positive rural U.S. population (2020)
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Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models (2020)
Collaboration Network
Top Collaborators
- Chest imaging representing a COVID-19 positive rural U.S. population
- HDL cholesterol levels and susceptibility to COVID-19
- Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- Chest imaging representing a COVID-19 positive rural U.S. population
- Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models
- Chest imaging representing a COVID-19 positive rural U.S. population
- Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models
- Chest imaging representing a COVID-19 positive rural U.S. population
- Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models
- Chest imaging representing a COVID-19 positive rural U.S. population
- Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models
- HDL cholesterol levels and susceptibility to COVID-19
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- HDL cholesterol levels and susceptibility to COVID-19
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- HDL cholesterol levels and susceptibility to COVID-19
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- HDL cholesterol levels and susceptibility to COVID-19
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- HDL cholesterol levels and susceptibility to COVID-19
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- HDL cholesterol levels and susceptibility to COVID-19
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- HDL cholesterol levels and susceptibility to COVID-19
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- HDL cholesterol levels and susceptibility to COVID-19
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- HDL cholesterol levels and susceptibility to COVID-19
- Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection
- Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models
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