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Presence Current · Arkansas
Last published 2023
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Kim Gates

Researcher

Also affiliated: University of Georgia (2007)

Faculty Researcher

6 h-index 10 pubs 218 cited

  • COVID-19
  • Humans
  • Middle Aged
  • Aged
  • Adult
  • Male
  • Young Adult
  • Rural Population
  • Radiography, Thoracic
  • SARS-CoV-2
  • COVID-19 Testing
  • Cholesterol
  • Cholesterol, HDL
  • Retrospective Studies
  • Triglycerides

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: 6
  • Publications: 10
  • Citations: 218

Selected Publications

  • 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)
    Journal of the American College of Cardiology DOI OpenAlex
  • HDL cholesterol levels and susceptibility to COVID-19 (2022)
    EBioMedicine 39 citations DOI OpenAlex
  • Higher HDL Cholesterol Levels Decrease Susceptibility to COVID-19 Infection (2022)
    SSRN Electronic Journal 2 citations DOI OpenAlex
  • Chest imaging representing a COVID-19 positive rural U.S. population (2020)
    Scientific Data 59 citations DOI OpenAlex
  • Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models (2020)
    Healthcare Informatics Research 12 citations DOI OpenAlex

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Collaboration Network

20 Collaborators 7 Institutions 3 Countries

Top Collaborators

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