John K. Petrella

2.7k total citations
32 papers, 2.0k citations indexed

About

John K. Petrella is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, John K. Petrella has authored 32 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Orthopedics and Sports Medicine, 10 papers in Molecular Biology and 10 papers in Biomedical Engineering. Recurrent topics in John K. Petrella's work include Muscle Physiology and Disorders (9 papers), Muscle activation and electromyography studies (9 papers) and Sports Performance and Training (8 papers). John K. Petrella is often cited by papers focused on Muscle Physiology and Disorders (9 papers), Muscle activation and electromyography studies (9 papers) and Sports Performance and Training (8 papers). John K. Petrella collaborates with scholars based in United States, Russia and United Kingdom. John K. Petrella's co-authors include Marcas M. Bamman, James M. Cross, Jeong-su Kim, David J. Kosek, David L. Mayhew, S. Craig Tuggle, Alan P. Jung, Jeong-Su Kim, Samuel Hall and M. Elaine Cress and has published in prestigious journals such as The FASEB Journal, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

John K. Petrella

31 papers receiving 2.0k citations

Peers

John K. Petrella
Gregory F. Martel United States
Henri Nielens Belgium
Dennis R. Claflin United States
S. Craig Tuggle United States
Brandon M. Roberts United States
R. S. Lindle United States
Tracey A. Roy United States
J. E. Falkel United States
N. A. Lynch United States
Paul S. Visich United States
Gregory F. Martel United States
John K. Petrella
Citations per year, relative to John K. Petrella John K. Petrella (= 1×) peers Gregory F. Martel

Countries citing papers authored by John K. Petrella

Since Specialization
Citations

This map shows the geographic impact of John K. Petrella'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 John K. Petrella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John K. Petrella more than expected).

Fields of papers citing papers by John K. Petrella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Petrella. 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 John K. Petrella. The network helps show where John K. Petrella may publish in the future.

Co-authorship network of co-authors of John K. Petrella

This figure shows the co-authorship network connecting the top 25 collaborators of John K. Petrella. A scholar is included among the top collaborators of John K. Petrella 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 John K. Petrella. John K. Petrella 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.
Marshall, Mallory R. & John K. Petrella. (2019). Attitudes and Beliefs Regarding Pregnancy Physical Activity in a Non-pregnant Population. International journal of exercise science. 12(3). 636–645. 1 indexed citations
2.
Roberts, Brandon M., Kaleen M. Lavin, Gina M. Many, et al.. (2018). Human neuromuscular aging: Sex differences revealed at the myocellular level. Experimental Gerontology. 106. 116–124. 73 indexed citations
3.
Rogers, Rebecca R., et al.. (2018). Effects of Prior Fasting on Fat Oxidation during Resistance Exercise. International journal of exercise science. 11(2). 827–833. 6 indexed citations
4.
Carson, James A., et al.. (2018). Undergraduate Research in Kinesiology: Examples to Enhance Student Outcomes. Kinesiology Review. 7(4). 305–313. 7 indexed citations
5.
Petrella, John K., et al.. (2013). The effect of active vs. supine recovery on heart rate, power output, and recovery time. International journal of exercise science. 6(3). 180–187. 4 indexed citations
6.
Petrella, John K., et al.. (2012). The Qualities of Physical Education Teachers Based upon Students' Perceptions of Physical Appearance. Journal of instructional psychology. 39(2). 92–398. 8 indexed citations
7.
Petrella, John K., et al.. (2012). The Effect of Loss of Visual Input on Muscle Power in Resistance Trained and Untrained Young Men and Women. The Journal of Strength and Conditioning Research. 27(2). 495–500. 8 indexed citations
8.
Petrella, John K., et al.. (2012). Self-estimation of Body Fat is More Accurate in College-age Males Compared to Females. International journal of exercise science. 5(1). 72–78. 3 indexed citations
9.
Jung, Alan P., et al.. (2011). Survey of Sickle Cell Trait Screening in NCAA and NAIA Institutions. The Physician and Sportsmedicine. 39(1). 158–165. 5 indexed citations
10.
Baker, Steven K., et al.. (2011). Presence of Observers Increases One Repetition Maximum in College-age Males and Females. International journal of exercise science. 4(3). 199–203. 8 indexed citations
11.
Petrella, John K., et al.. (2010). Type of Encouragement Influences Peak Muscle Force in College-Age Women. International journal of exercise science. 3(4). 165–173. 19 indexed citations
12.
Petrella, John K. & Alan P. Jung. (2008). Undergraduate Research: Importance, Benefits, and Challenges. International journal of exercise science. 1(3). 91–95. 80 indexed citations
13.
Petrella, John K., Jeong-su Kim, David L. Mayhew, James M. Cross, & Marcas M. Bamman. (2008). Potent myofiber hypertrophy during resistance training in humans is associated with satellite cell-mediated myonuclear addition: a cluster analysis. Journal of Applied Physiology. 104(6). 1736–1742. 344 indexed citations
14.
Bamman, Marcas M., John K. Petrella, Jeong-su Kim, David L. Mayhew, & James M. Cross. (2007). Cluster analysis tests the importance of myogenic gene expression during myofiber hypertrophy in humans. Journal of Applied Physiology. 102(6). 2232–2239. 161 indexed citations
15.
Petrella, John K., et al.. (2006). Efficacy of myonuclear addition may explain differential myofiber growth among resistance-trained young and older men and women. American Journal of Physiology-Endocrinology and Metabolism. 291(5). E937–E946. 290 indexed citations
16.
Petrella, John K., Jeong‐Su Kim, S. Craig Tuggle, & Marcas M. Bamman. (2006). Contributions of force and velocity to improved power with progressive resistance training in young and older adults. European Journal of Applied Physiology. 99(4). 343–351. 55 indexed citations
17.
Kim, Jeong-su, David J. Kosek, John K. Petrella, James M. Cross, & Marcas M. Bamman. (2005). Resting and load-induced levels of myogenic gene transcripts differ between older adults with demonstrable sarcopenia and young men and women. Journal of Applied Physiology. 99(6). 2149–2158. 109 indexed citations
18.
Petrella, John K., Jeong-Su Kim, S. Craig Tuggle, Samuel Hall, & Marcas M. Bamman. (2004). Age differences in knee extension power, contractile velocity, and fatigability. Journal of Applied Physiology. 98(1). 211–220. 205 indexed citations
19.
Petrella, John K.. (2004). Leg extensor power, cognition, and functional performance in independent and marginally dependent older adults. Age and Ageing. 33(4). 342–348. 28 indexed citations
20.
Petrella, John K. & M. Elaine Cress. (2004). Daily Ambulation Activity and Task Performance in Community-Dwelling Older Adults Aged 63-71 Years With Preclinical Disability. The Journals of Gerontology Series A. 59(3). M264–M267. 29 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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