Match tier Institution-verified
Presence Current · Arkansas
Last published 2026
Sources Institutional record
Refreshed 2026-08-06

John L. Carroll

Sourced from institutional research profiles (UAMS TRI or ARA).

Professor

Faculty Researcher

48 h-index 318 pubs 13,147 cited

  • Humans
  • Female
  • Animals
  • Male
  • United States
  • Carotid Body
  • Child
  • Hypoxia
  • Animals, Newborn
  • Rats
  • Chemoreceptor Cells
  • Infant
  • Oxygen
  • Child, Preschool
  • Polysomnography

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Biography and Research Information

OverviewAI-generated summary

John L. Carroll is a Professor at the University of Arkansas for Medical Sciences. His research interests include the study of microbial infections and disease, with a focus on understanding infectious agents and their impact on health. He has also been involved in research related to health disparities and outcomes, investigating factors that contribute to differences in health status among various populations. His work aims to contribute to the broader field of health sciences research and education.

Metrics

  • h-index: 48
  • Publications: 318
  • Citations: 13,147

Selected Publications

  • Dissecting primary versus secondary effects of osteogenesis imperfecta on abnormal lung development and function (2026)
  • A new <i>Col1a1</i> conditional knock-in mouse model to study osteogenesis imperfecta (2024)
    Journal of Bone and Mineral Research 3 citations DOI OpenAlex
  • Corrigendum: Highly comparative time series analysis of oxygen saturation and heart rate to predict respiratory outcomes in extremely preterm infants (2024 <i>Physiol. Meas.</i> 45 055025) (2024)
  • List of Contributors (2024)
  • Commercial infant products influence body position and muscle use (2024)
    Early Human Development 7 citations DOI OpenAlex
  • Highly comparative time series analysis of oxygen saturation and heart rate to predict respiratory outcomes in extremely preterm infants (2024)
    Physiological Measurement 4 citations DOI OpenAlex
  • Apnea, Intermittent Hypoxemia, and Bradycardia Events Predict Late-Onset Sepsis in Infants Born Extremely Preterm (2024)
    The Journal of Pediatrics 17 citations DOI OpenAlex
  • Apnea, Intermittent Hypoxemia, and Bradycardia Events Predict Late-Onset Sepsis in Extremely Preterm Infants (2024)
  • Highly comparative time series analysis of oxygen saturation and heart rate to predict respiratory outcomes in extremely preterm infants (2024)
    1 citation DOI OpenAlex
  • Phox2b-expressing neurons contribute to breathing problems in Kcnq2 loss- and gain-of-function encephalopathy models (2023)
    Nature Communications 10 citations DOI OpenAlex
  • O060 Loop gain as a measure of respiratory instability in premature infants (2023)
  • Volume‐targeted ventilation as an invasive home ventilation strategy: A single‐center experience (2023)
    Pediatric Pulmonology 1 citation DOI OpenAlex
  • Maturation of cardioventilatory physiological trajectories in extremely preterm infants (2023)
    Pediatric Research 28 citations DOI OpenAlex
  • Cardiorespiratory Monitoring Data to Predict Respiratory Outcomes in Extremely Preterm Infants (2023)
    American Journal of Respiratory and Critical Care Medicine 48 citations DOI OpenAlex
  • Cardiorespiratory Physiological Trajectories in Extremely Preterm Infants (2023)
    1 citation DOI OpenAlex

Grants & Funding

As listed on this researcher's institutional profile.

  • CAROTID BODY IN THE DEVELOPMENT OF BREATHING CONTROL NIH
  • Pillows GR034135 Carroll Task 003(10178) Consumer Products Safety Commission UAMS ACHRI Flow Through via Boise State University
  • KCNQ2 Channels Control Chemoreceptor Function-Uconn UAMS ACHRI Flow Through
  • Center for Translational Neuroscience NIH
  • PHYSIOLOGIC BIOMARKERS PREDICTING VENTILATORY INSTABILITY AND HYPOXEMIA IN PREMATURE INFANTS NIH
  • Elucidating the role of type I collagen mutations on respiratory function in osteogenesis imperfecta American Lung Association
  • Biomechanical Evaluation of Infants in Inclined Sleep Products U.S. Consumer Product Safety Commission
  • Cystic Fibrosis Data Base Cystic Fibrosis Foundation

Collaboration Network

107 Collaborators 45 Institutions 5 Countries

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