Match tier Listed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-03

Shae A. Merves

Assistant Professor

UAMS

Also affiliated: Arkansas Children's Hospital (2022–2026); University of Arkansas Medical Center (2024)

Peds Pediatrics, College of Medicine

4 h-index 12 pubs 58 cited

Research Areas

Biomedical Subjects

  • COVID-19
  • Humans
  • Mucocutaneous Lymph Node Syndrome
  • Systemic Inflammatory Response Syndrome
  • SARS-CoV-2
  • Child
  • Female
  • Male
  • Registries
  • Child, Preschool
  • United States
  • Myocarditis
  • Practice Patterns, Physicians'
  • Predictive Value of Tests
  • Hematoma

Links

Research Group UAMS TRI Profile

OverviewAI-generated summary

Shae A. Merves investigates inflammatory syndromes in children, with a particular focus on Kawasaki disease and its relationship with COVID-19. Their work has explored outcomes in patients with Kawasaki disease and multisystem inflammatory syndrome in children (MIS-C) who also have obesity. Merves has contributed to studies utilizing the International Kawasaki Disease Registry to examine COVID-19's impact on Kawasaki disease presentation and outcomes, including comparisons between COVID-19 positive and negative cases. Further research interests include the use of cardiovascular magnetic resonance in diagnosing pediatric myocarditis and the application of machine learning for predicting ICU admission in patients with Kawasaki disease or MIS-C. Merves' research network includes collaborators such as Markus S. Renno and Emily Sanders from the University of Arkansas for Medical Sciences.

Metrics

  • h-index: 4
  • Publications: 12
  • Citations: 58

Positions

  • Assistant Professor publications 2023–2026
    University of Arkansas for Medical Sciences Peds Pediatrics, College of Medicine Institutional directory

Selected Publications

  • Changes in the Pediatric-Adult Academic Subspecialists Compensation Gap (2026)
    PEDIATRICS DOI OpenAlex
  • ICU Admission Prediction for Patients With Kawasaki Disease or MIS-C Using Machine Learning (2025)
    JACC Advances 1 citation DOI OpenAlex
  • Giant Congenital Intramyocardial Dissecting Hematoma Resolves Spontaneously (2024)
    Circulation Cardiovascular Imaging DOI OpenAlex
  • Cardiac Biomarkers Aid in Differentiation of Kawasaki Disease from Multisystem Inflammatory Syndrome in Children Associated with COVID-19 (2023)
    Research Square DOI OpenAlex
  • COVID-19 Positive Versus Negative Complete Kawasaki Disease: A Study from the International Kawasaki Disease Registry (2023)
    Pediatric Cardiology 13 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

52 Collaborators 49 Institutions 8 Countries

Top Collaborators

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