Yuri Feito

2.4k total citations · 1 hit paper
99 papers, 1.6k citations indexed

About

Yuri Feito is a scholar working on Orthopedics and Sports Medicine, Physiology and Complementary and alternative medicine. According to data from OpenAlex, Yuri Feito has authored 99 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Orthopedics and Sports Medicine, 32 papers in Physiology and 30 papers in Complementary and alternative medicine. Recurrent topics in Yuri Feito's work include Sports Performance and Training (38 papers), Cardiovascular and exercise physiology (30 papers) and Physical Activity and Health (28 papers). Yuri Feito is often cited by papers focused on Sports Performance and Training (38 papers), Cardiovascular and exercise physiology (30 papers) and Physical Activity and Health (28 papers). Yuri Feito collaborates with scholars based in United States, Brazil and Colombia. Yuri Feito's co-authors include Gerald T. Mangine, Katie M. Heinrich, David R. Bassett, Scotty Butcher, Walker S. Carlos Poston, Dixie L. Thompson, Paul Serafini, Allyson G. Box, Steven J. Petruzzello and Evanette Burrows and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yuri Feito

91 papers receiving 1.6k citations

Hit Papers

High-Intensity Functional Training (HIFT): Definition and... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuri Feito United States 23 676 570 500 201 197 99 1.6k
Mônica Yuri Takito Brazil 24 850 1.3× 337 0.6× 340 0.7× 138 0.7× 224 1.1× 92 1.6k
Domingo Jesús Ramos‐Campo Spain 29 569 0.8× 561 1.0× 463 0.9× 138 0.7× 215 1.1× 115 2.2k
Marzo Edir Da Silva‐Grigoletto Brazil 23 662 1.0× 407 0.7× 319 0.6× 154 0.8× 164 0.8× 153 1.7k
Anissa Bouassida Tunisia 22 618 0.9× 546 1.0× 358 0.7× 115 0.6× 110 0.6× 107 1.5k
Joseph L. Andreacci United States 16 671 1.0× 514 0.9× 490 1.0× 78 0.4× 193 1.0× 38 1.5k
Nickos D. Geladas Greece 21 671 1.0× 634 1.1× 505 1.0× 110 0.5× 283 1.4× 70 1.9k
Abdul Rashid Aziz Singapore 24 719 1.1× 772 1.4× 290 0.6× 138 0.7× 152 0.8× 103 1.8k
Laura Karavirta Finland 21 534 0.8× 620 1.1× 678 1.4× 171 0.9× 139 0.7× 57 1.7k
Brandon S. Shaw South Africa 21 319 0.5× 384 0.7× 246 0.5× 120 0.6× 227 1.2× 172 1.4k
Ezdine Bouhlel Tunisia 20 838 1.2× 341 0.6× 420 0.8× 126 0.6× 60 0.3× 73 1.4k

Countries citing papers authored by Yuri Feito

Since Specialization
Citations

This map shows the geographic impact of Yuri Feito's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuri Feito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Feito more than expected).

Fields of papers citing papers by Yuri Feito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuri Feito. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuri Feito. The network helps show where Yuri Feito may publish in the future.

Co-authorship network of co-authors of Yuri Feito

This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Feito. A scholar is included among the top collaborators of Yuri Feito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuri Feito. Yuri Feito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hester, Garrett M., et al.. (2024). Central and peripheral neuromuscular fatigue following ramp and rapid maximal voluntary isometric contractions. Frontiers in Physiology. 15. 1434473–1434473. 5 indexed citations
2.
Bunn, Jennifer A. & Yuri Feito. (2023). How Agile Practices Can Improve Student Research. 8(2). 128–141. 1 indexed citations
3.
Mangine, Gerald T., et al.. (2023). Acute physiological outcomes of high-intensity functional training: a scoping review. PeerJ. 11. e14493–e14493. 18 indexed citations
4.
Mangine, Gerald T., et al.. (2023). Normative Scores for CrossFit® Open Workouts: 2011–2022. Sports. 11(2). 24–24. 9 indexed citations
5.
Murawska‐Ciałowicz, Eugenia, Gilmara Gomes de Assis, Filipe Manuel Clemente, et al.. (2021). Effect of four different forms of high intensity training on BDNF response to Wingate and Graded Exercise Test. Scientific Reports. 11(1). 8599–8599. 30 indexed citations
6.
Townsend, Jeremy R., Claudia M. Boot, Autumn C. Marshall, et al.. (2020). The Effect of ProHydrolase® on the Amino Acid and Intramuscular Anabolic Signaling Response to Resistance Exercise in Trained Males. Sports. 8(2). 13–13. 7 indexed citations
7.
Murawska‐Ciałowicz, Eugenia, Jolanta Zuwała−Jagiełło, Yuri Feito, et al.. (2020). Effect of HIIT with Tabata Protocol on Serum Irisin, Physical Performance, and Body Composition in Men. International Journal of Environmental Research and Public Health. 17(10). 3589–3589. 47 indexed citations
8.
Hester, Garrett M., et al.. (2020). Sit-to-Stand Kinetics and Correlates of Performance in Young and Older Males. Archives of Gerontology and Geriatrics. 91. 104215–104215. 7 indexed citations
11.
Stratton, Matthew T., Trisha A. VanDusseldorp, Yuri Feito, et al.. (2019). Neuromuscular function of the plantar flexors and predictors of peak power in middle-aged and older males. Experimental Gerontology. 125. 110677–110677. 12 indexed citations
12.
Feito, Yuri, et al.. (2019). The use of a smart-textile garment during high-intensity functional training: a pilot study. The Journal of Sports Medicine and Physical Fitness. 59(6). 947–954. 11 indexed citations
13.
Feito, Yuri, Katie M. Heinrich, Scotty Butcher, & Walker S. Carlos Poston. (2018). High-Intensity Functional Training (HIFT): Definition and Research Implications for Improved Fitness. Sports. 6(3). 76–76. 261 indexed citations breakdown →
14.
Feito, Yuri & Gerald T. Mangine. (2017). Let us identify exercise recommendations that are effective and not denounce specific training programs simply because they are misunderstood. The Journal of Sports Medicine and Physical Fitness. 57(5). 720–721. 1 indexed citations
15.
Kliszczewicz, Brian, et al.. (2016). Vagal Response to 15-weeks of High-Intensity Functional Training: A Pilot Study. 4(3). 3 indexed citations
16.
Feito, Yuri, et al.. (2016). Actividad física y percepciones de beneficios y barreras en una universidad colombiana. Retos: nuevas tendencias en educación física, deporte y recreación. 15–19. 1 indexed citations
17.
Feito, Yuri, et al.. (2014). Niveles y estados de cambio de la actividad física en una comunidad universitaria de Medellín-Colombia. Educación Física y Deporte. 33(1). 153–173. 1 indexed citations
18.
Feito, Yuri, David R. Bassett, Dixie L. Thompson, & Brian Tyo. (2012). Effects of Body Mass Index on Step Count Accuracy of Physical Activity Monitors. Journal of Physical Activity and Health. 9(4). 594–600. 32 indexed citations
19.
Feito, Yuri, David R. Bassett, Brian Tyo, & Dixie L. Thompson. (2010). Effects of Body Mass Index and Tilt Angle on Output of Two Wearable Activity Monitors. Medicine & Science in Sports & Exercise. 43(5). 861–866. 26 indexed citations
20.
Tyo, Brian, Eugene C. Fitzhugh, David R. Bassett, et al.. (2010). Effects of Body Mass Index and Step Rate on Pedometer Error in a Free-Living Environment. Medicine & Science in Sports & Exercise. 43(2). 350–356. 39 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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