Philip M. Gallagher

4.5k total citations
81 papers, 3.4k citations indexed

About

Philip M. Gallagher is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Philip M. Gallagher has authored 81 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Orthopedics and Sports Medicine, 26 papers in Biomedical Engineering and 20 papers in Molecular Biology. Recurrent topics in Philip M. Gallagher's work include Sports Performance and Training (28 papers), Muscle activation and electromyography studies (24 papers) and Exercise and Physiological Responses (19 papers). Philip M. Gallagher is often cited by papers focused on Sports Performance and Training (28 papers), Muscle activation and electromyography studies (24 papers) and Exercise and Physiological Responses (19 papers). Philip M. Gallagher collaborates with scholars based in United States, Canada and Sweden. Philip M. Gallagher's co-authors include Scott Trappe, Matthew P. Harber, Andrew Creer, John A. Carrithers, David L. Williamson, Michael P. Godard, K. E. Schulze, R. H. Fitts, D. L. Costill and Chad C. Carroll and has published in prestigious journals such as Neurology, The Journal of Physiology and Journal of Neurophysiology.

In The Last Decade

Philip M. Gallagher

79 papers receiving 3.3k citations

Peers

Philip M. Gallagher
James D. Fluckey United States
Ulrika Raue United States
K. M. Baldwin United States
Tim Snijders Netherlands
Monica J. Hubal United States
James D. Fluckey United States
Philip M. Gallagher
Citations per year, relative to Philip M. Gallagher Philip M. Gallagher (= 1×) peers James D. Fluckey

Countries citing papers authored by Philip M. Gallagher

Since Specialization
Citations

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

Fields of papers citing papers by Philip M. Gallagher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip M. Gallagher. 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 Philip M. Gallagher. The network helps show where Philip M. Gallagher may publish in the future.

Co-authorship network of co-authors of Philip M. Gallagher

This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Gallagher. A scholar is included among the top collaborators of Philip M. Gallagher 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 Philip M. Gallagher. Philip M. Gallagher 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.
Siedlik, Jacob A., et al.. (2025). Acute high-intensity exercise enhances T cell proliferation compared to moderate-intensity exercise. Applied Physiology Nutrition and Metabolism. 50. 1–12. 1 indexed citations
2.
Godwin, Joshua S., Michael Strube, Anthony B. Ciccone, et al.. (2023). Myofiber hypertrophy adaptations following 6 weeks of low-load resistance training with blood flow restriction in untrained males and females. Journal of Applied Physiology. 134(5). 1240–1255. 12 indexed citations
3.
Siedlik, Jacob A., Jake A. Deckert, Aaron W. Clopton, et al.. (2021). Change in measures of moral function following acute bouts of Marine Corps Martial Arts Training. Stress and Health. 38(3). 534–543. 2 indexed citations
4.
Herda, Trent J., Michael A. Trevino, Adam J. Sterczala, et al.. (2019). Muscular strength and power are correlated with motor unit action potential amplitudes, but not myosin heavy chain isoforms in sedentary males and females. Journal of Biomechanics. 86. 251–255. 23 indexed citations
5.
Siedlik, Jacob A., et al.. (2016). Acute bouts of exercise induce a suppressive effect on lymphocyte proliferation in human subjects: A meta-analysis. Brain Behavior and Immunity. 56. 343–351. 32 indexed citations
6.
Graham, Zachary, et al.. (2015). Focal adhesion kinase signaling is decreased 56 days following spinal cord injury in rat gastrocnemius. Spinal Cord. 54(7). 502–509. 12 indexed citations
7.
Cooper, Michael A., et al.. (2014). Relationships between skinfold thickness and electromyographic and mechanomyographic amplitude recorded during voluntary and non-voluntary muscle actions. Journal of Electromyography and Kinesiology. 24(2). 207–213. 35 indexed citations
8.
Riggs, Charles E., et al.. (2011). Salivary IgA is Not a Reliable Indicator of Upper Respiratory Infection in Collegiate Female Soccer Athletes. The Journal of Strength and Conditioning Research. 25(7). 1937–1942. 10 indexed citations
9.
Gallagher, Philip M., et al.. (2010). Stretching: Does It Help?.. Strategies. 23(4). 32–34. 3 indexed citations
10.
Fitts, R. H., Scott Trappe, D. L. Costill, et al.. (2010). Prolonged space flight-induced alterations in the structure and function of human skeletal muscle fibres. The Journal of Physiology. 588(18). 3567–3592. 270 indexed citations
11.
Mukai, Naoki, Noboru Mesaki, Kazuaki Mæda, et al.. (2009). Influence of knee alignment on quadriceps cross-sectional area. Journal of Biomechanics. 42(14). 2313–2317. 20 indexed citations
12.
Wacker, Michael, et al.. (2008). Technique for quantitative RT-PCR analysis directly from single muscle fibers. Journal of Applied Physiology. 105(1). 308–315. 12 indexed citations
13.
Touchberry, Chad D., et al.. (2007). Diathermy treatment increases heat shock protein expression in female, but not male skeletal muscle. European Journal of Applied Physiology. 102(3). 319–323. 10 indexed citations
14.
Gallagher, Philip M., Scott Trappe, Matthew P. Harber, et al.. (2005). Effects of 84‐days of bedrest and resistance training on single muscle fibre myosin heavy chain distribution in human vastus lateralis and soleus muscles. Acta Physiologica Scandinavica. 185(1). 61–69. 86 indexed citations
15.
Carroll, Chad C., et al.. (2005). Skeletal muscle characteristics of people with multiple sclerosis. Archives of Physical Medicine and Rehabilitation. 86(2). 224–229. 56 indexed citations
16.
Gallagher, Philip M., et al.. (2004). Single muscle fiber contractile properties during a competitive season in male runners. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 287(5). R1124–R1131. 64 indexed citations
17.
Trappe, Scott, Philip M. Gallagher, Matthew P. Harber, et al.. (2003). Single Muscle Fibre Contractile Properties in Young and Old Men and Women. The Journal of Physiology. 552(1). 47–58. 287 indexed citations
18.
Harber, Matthew P., et al.. (2002). Myosin Heavy Chain Composition of Single Muscle Fibers in Male Distance Runners. International Journal of Sports Medicine. 23(7). 484–488. 42 indexed citations
19.
Daggett, Matt, et al.. (2000). Metabolic Response During Sport Rock Climbing and the Effects of Active Versus Passive Recovery. International Journal of Sports Medicine. 21(3). 185–190. 93 indexed citations
20.
Konstam, M A, et al.. (1992). Long-term Effects of Enalapril On Left-ventricular Diastolic Properties - Evidence for Reversed Remodeling. Digital Access to Libraries. 86(4). 120–120. 2 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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