Nicholas Preobrazenski

Moving beyond threshold-based dichotomous classification to improve the accuracy in classifying non-responders

Jacob T. Bonafiglia, Matthew W. Nelms, Nicholas Preobrazenski et al. · Physiological Reports · 2018 · 40 citations · Full text

Physical Activity, Machine Learning, Physiological Status +19

Investigating the reproducibility of maximal oxygen uptake responses to high-intensity interval training

Michael Del Giudice, Jacob T. Bonafiglia, Hashim Islam et al. · Journal of science and medicine in sport · 2019 · 37 citations

Kinesiology, Exercise, Physical Fitness +10

A novel gravity-induced blood flow restriction model augments ACC phosphorylation and <i>PGC-1α</i> mRNA in human skeletal muscle following aerobic exercise: a randomized crossover study

Nicholas Preobrazenski, Hashim Islam, P Drouin et al. · Applied Physiology Nutrition and Metabolism · 2019 · 31 citations

Exploring Differences in Cardiorespiratory Fitness Response Rates Across Varying Doses of Exercise Training: A Retrospective Analysis of Eight Randomized Controlled Trials

Jacob T. Bonafiglia, Nicholas Preobrazenski, Hashim Islam et al. · Sports Medicine · 2021 · 28 citations

Cardiorespiratory Fitness Response, Physical Activity, Kinesiology +13

Does blood lactate predict the chronic adaptive response to training: A comparison of traditional and talk test prescription methods

Nicholas Preobrazenski, Jacob T. Bonafiglia, Matthew W. Nelms et al. · Applied Physiology Nutrition and Metabolism · 2018 · 24 citations