Author

D. Barranco-Gil

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Physiology· 1

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Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Lucia· 1 shared A. Montalvo-Perez· 1 shared E. Talavera· 1 shared J. Gil-Cabrera· 1 shared L. Brea· 1 shared P. Valenzuela· 1 shared R. Martinez-Gomez· 1 shared S. Moral-Gonzalez· 1 shared

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2019-2019 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperPhysiology

A. Lucia

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1 paper

Recent·Most cited

PhysiologybioRxivPreprintDec 16, 2019

Physiological predictors of competitive performance in CrossFit(R) athletes

L. Brea, R. Martinez-Gomez, P. Valenzuela…·D. Barranco-Gil

This study identifies physiological predictors of CrossFit performance, finding that aerobic capacity, lower body power, and strength metrics explain most of the variance in overall performance.

DOI 10.1101/2019.12.16.877928

humanstatistical model