The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Chronic Adaptations to Eccentric Training: A Systematic Review
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Cites
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Neural adaptation to resistance training
SALE, D. G. (1988) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-198810001-00009 · Cited by 1,421
A Special Population of Regulatory T Cells Potentiates Muscle Repair
Burzyn, D., Kuswanto, W., Kolodin, D., Shadrach, J. L., Cerletti, M., Jang, Y., Sefik, E., Tan, T. G., Wagers, A. J., Benoist, C., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.054 · Cited by 1,234 · cited 1×
“IP-10 within skeletal muscle is postulated to recruit T lymphocytes [87, 88], and T-cell infiltration has been found to enhance satellite cell activation and muscle regeneration in mice [89].”
BackgroundThe mechanisms of muscle hypertrophy and their application to resistance training
Schoenfeld, B. J. (2010) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0b013e3181e840f3 · Cited by 1,214 · cited 4×
“The acute inflammatory response associated with eccentric contractions and EIMD is believed to induce a release of growth factors that regulate satellite cell activation/proliferation and anabolic signalling [76].”
BackgroundInfluentialCampos, G., Luecke, T., Wendeln, H., Toma, K., Hagerman, F., Murray, T., Ragg, K., Ratamess, N., Kraemer, W., & Staron, R. (2002) · European Journal of Applied Physiology · doi:10.1007/s00421-002-0681-6 · Cited by 1,066
Van Cutsem, M., Duchateau, J., & Hainaut, K. (1998) · The Journal of Physiology · doi:10.1111/j.1469-7793.1998.295by.x · Cited by 777
Developing Maximal Neuromuscular Power: Part 1 – Biological Basis of Maximal Power Production
Cormie, P., McGuigan, M. R., & Newton, R. U. (2011) · Sports Medicine · doi:10.2165/11537690-000000000-00000 · Cited by 774
Self-citationSeynnes, O. R., de Boer, M., & Narici, M. V. (2007) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00789.2006 · Cited by 660 · cited 2×
“3–4 weeks) are underpinned by neural factors, while MTU morphological and architectural changes require a longer time to materialize [84].”
BackgroundAndersen, L. L., & Aagaard, P. (2006) · European Journal of Applied Physiology · doi:10.1007/s00421-005-0070-z · Cited by 657
Miller, B. F., Olesen, J. L., Hansen, M., Døssing, S., Crameri, R. M., Welling, R. J., Langberg, H., Flyvbjerg, A., Kjaer, M., Babraj, J. A., et al. (2005) · The Journal of Physiology · doi:10.1113/jphysiol.2005.093690 · Cited by 610
Cited by
The importance of muscular strength: Training considerations
Suchomel, T. J., Nimphius, S., Bellon, C. R., & Stone, M. H. (2018) · Sports Medicine · doi:10.1007/s40279-018-0862-z · Cited by 940
Stimuli and sensors that initiate skeletal muscle hypertrophy following resistance exercise
Wackerhage, H., Schoenfeld, B. J., Hamilton, D. L., Lehti, M., & Hulmi, J. J. (2019) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00685.2018 · Cited by 357
Damas, F., Libardi, C. A., & Ugrinowitsch, C. (2018) · European Journal of Applied Physiology · doi:10.1007/s00421-017-3792-9 · Cited by 254
Mcleod, J. C., Currier, B. S., Lowisz, C. V., & Phillips, S. M. (2024) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2023.06.005 · Cited by 176
Gérard, R., Gojon, L., Decleve, P., & Van Cant, J. (2020) · Journal of Athletic Training · doi:10.4085/1062-6050-194-19 · Cited by 64
Metadata
- Authors
- Douglas, J., Pearson, S., Ross, A., & McGuigan, M.
- Venue
- Sports Medicine
- Published
- 2016-09-19
- Volume
- 47
- Issue
- 5
- Pages
- 917-941
- ISSN
- 0112-1642 (ISSN-L)
- 1179-2035
- OpenAlex
- W2523467156
- Cited by
- 374
- References
- 20
- FWCI
- 3.98
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.