Smarr, Benjamin L.

Redefining the concept of reactive astrocytes as cells that remain within their unique domains upon reaction to injury

Wilhelmsson, U., Bushong, E. A., Price, D. L., Smarr, B. L., Phung, V., Terada, M., Ellisman, M. H., & Pekny, M. (2006) · Proceedings of the National Academy of Sciences

Neuroinflammation and Neurodegeneration MechanismsTraumatic Brain Injury and Neurovascular Disturbances

Cited by 643

A time to remember: The role of circadian clocks in learning and memory.

Smarr, B. L., Jennings, K. J., Driscoll, J. R., & Kriegsfeld, L. J. (2014) · Behavioral Neuroscience

Circadian rhythm and melatoninMemory and Neural Mechanisms

Cited by 166

Feasibility of continuous fever monitoring using wearable devices

Smarr, B. L., Aschbacher, K., Fisher, S. M., Chowdhary, A., Dilchert, S., Puldon, K., Rao, A., Hecht, F. M., & Mason, A. E. (2020) · Scientific Reports

Non-Invasive Vital Sign MonitoringInfrared Thermography in Medicine

Cited by 133

Maternal and Early-Life Circadian Disruption Have Long-Lasting Negative Consequences on Offspring Development and Adult Behavior in Mice

Smarr, B. L., Grant, A. D., Perez, L., Zucker, I., & Kriegsfeld, L. J. (2017) · Scientific Reports

Circadian rhythm and melatoninBirth, Development, and Health

Cited by 86

Maternal stress during pregnancy alters fetal cortico-cerebellar connectivity in utero and increases child sleep problems after birth

van den Heuvel, M. I., Hect, J. L., Smarr, B. L., Qawasmeh, T., Kriegsfeld, L. J., Barcelona, J., Hijazi, K. E., & Thomason, M. E. (2021) · Scientific Reports

Maternal Mental Health During Pregnancy and PostpartumFunctional Brain Connectivity Studies

Cited by 76

3.4 million real-world learning management system logins reveal the majority of students experience social jet lag correlated with decreased performance

Smarr, B. L., & Schirmer, A. E. (2018) · Scientific Reports

Circadian rhythm and melatoninSleep and related disorders

Cited by 72

Detection of Successful and Unsuccessful Pregnancies in Mice within Hours of Pairing through Frequency Analysis of High Temporal Resolution Core Body Temperature Data

Smarr, B. L., Zucker, I., & Kriegsfeld, L. J. (2016) · PLOS ONE

Reproductive Physiology in LivestockReproductive Health and Technologies

Cited by 54

Elevated body temperature is associated with depressive symptoms: results from the TemPredict Study

Mason, A. E., Kasl, P., Soltani, S., Green, A., Hartogensis, W., Dilchert, S., Chowdhary, A., Pandya, L. S., Siwik, C. J., Foster, S. L., et al. (2024) · Scientific Reports

Circadian rhythm and melatoninMental Health Research Topics

Cited by 31

Digital Sleep Logs Reveal Potential Impacts of Modern Temporal Structure on Class Performance in Different Chronotypes

Smarr, B. L. (2015) · Journal of Biological Rhythms

Sleep and related disordersCircadian rhythm and melatonin

Cited by 30

Five million nights: temporal dynamics in human sleep phenotypes

Viswanath, V. K., Hartogenesis, W., Dilchert, S., Pandya, L., Hecht, F. M., Mason, A. E., Wang, E. J., & Smarr, B. L. (2024) · npj Digital Medicine

Sleep and related disordersCircadian rhythm and melatonin

Cited by 20

Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach

Kasl, P., Keeler Bruce, L., Hartogensis, W., Dasgupta, S., Pandya, L. S., Dilchert, S., Hecht, F. M., Gupta, A., Altintas, I., Mason, A. E., et al. (2024) · Sensors

Data-Driven Disease SurveillanceNon-Invasive Vital Sign Monitoring

Cited by 13

Chronobiologically-informed features from CGM data provide unique information for XGBoost prediction of longer-term glycemic dysregulation in 8,000 individuals with type-2 diabetes

Burks, J. H., Joe, L., Kanjaria, K., Monsivais, C., O'laughlin, K., & Smarr, B. L. (2025) · PLOS Digital Health

Diabetes Management and ResearchMachine Learning in Healthcare

Cited by 5

Testing the Impact of Intensive, Longitudinal Sampling on Assessments of Statistical Power and Effect Size Within a Heterogeneous Human Population: Natural Experiment Using Change in Heart Rate on Weekends as a Surrogate Intervention

Soltani, S., Viswanath, V. K., Kasl, P., Hartogensis, W., Dilchert, S., Hecht, F. M., Mason, A. E., & Smarr, B. L. (2025) · Journal of Medical Internet Research

Statistical Methods and Bayesian InferenceMental Health Research Topics

Cited by 3

Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis

Viswanath, V. K., Navaneethan, S., Burks, J. H., Soltani, S., Kasl, P., Hartogensis, W., Dilchert, S., Hecht, F. M., Mason, A. E., Wang, E. J., et al. (2026) · Communications Medicine

Diabetes Management and ResearchArtificial Intelligence in Healthcare

Cited by 0