Jake A. Deckert

404 total citations
18 papers, 299 citations indexed

About

Jake A. Deckert is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Rehabilitation. According to data from OpenAlex, Jake A. Deckert has authored 18 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Orthopedics and Sports Medicine and 5 papers in Rehabilitation. Recurrent topics in Jake A. Deckert's work include Muscle activation and electromyography studies (8 papers), Sports Performance and Training (7 papers) and Exercise and Physiological Responses (5 papers). Jake A. Deckert is often cited by papers focused on Muscle activation and electromyography studies (8 papers), Sports Performance and Training (7 papers) and Exercise and Physiological Responses (5 papers). Jake A. Deckert collaborates with scholars based in United States and Canada. Jake A. Deckert's co-authors include Jacob A. Siedlik, Joseph P. Weir, Anthony B. Ciccone, Jill M. Wecht, Philip M. Gallagher, Trent J. Herda, Andrew C. Fry, Andreas Kreutzer, Aaron F. Carbuhn and S. L. Reynolds and has published in prestigious journals such as Experimental Brain Research, Physiology & Behavior and Journal of Immunological Methods.

In The Last Decade

Jake A. Deckert

18 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jake A. Deckert United States 10 106 101 56 46 43 18 299
Anthony B. Ciccone United States 11 121 1.1× 193 1.9× 142 2.5× 37 0.8× 67 1.6× 21 400
Florian Husmann Germany 8 92 0.9× 87 0.9× 125 2.2× 38 0.8× 37 0.9× 11 337
Runar Unhjem Norway 11 73 0.7× 138 1.4× 161 2.9× 27 0.6× 97 2.3× 13 393
A.V. Bisconti Italy 12 134 1.3× 94 0.9× 211 3.8× 38 0.8× 87 2.0× 30 471
J E Tracy United States 5 51 0.5× 161 1.6× 171 3.1× 113 2.5× 21 0.5× 7 351
Emanuela Faelli Italy 12 32 0.3× 64 0.6× 208 3.7× 42 0.9× 74 1.7× 59 431
Nicolas Decorte France 12 44 0.4× 220 2.2× 204 3.6× 31 0.7× 66 1.5× 13 469
Daniel G. Drury United States 11 37 0.3× 52 0.5× 75 1.3× 47 1.0× 114 2.7× 26 363
Richie P. Goulding Netherlands 13 107 1.0× 72 0.7× 159 2.8× 32 0.7× 45 1.0× 29 436
Ward C. Dobbs United States 7 136 1.3× 88 0.9× 107 1.9× 35 0.8× 84 2.0× 18 380

Countries citing papers authored by Jake A. Deckert

Since Specialization
Citations

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

Fields of papers citing papers by Jake A. Deckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake A. Deckert. 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 Jake A. Deckert. The network helps show where Jake A. Deckert may publish in the future.

Co-authorship network of co-authors of Jake A. Deckert

This figure shows the co-authorship network connecting the top 25 collaborators of Jake A. Deckert. A scholar is included among the top collaborators of Jake A. Deckert 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 Jake A. Deckert. Jake A. Deckert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 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.
Sterczala, Adam J., Jonathan D. Miller, Jake A. Deckert, et al.. (2023). Sex‐related differences in motor unit behavior are influenced by myosin heavy chain during high‐ but not moderate‐intensity contractions. Acta Physiologica. 239(1). e14024–e14024. 10 indexed citations
3.
Sterczala, Adam J., et al.. (2023). High-Intensity Cycling Training Necessitates Increased Neuromuscular Demand of the Vastus Lateralis During a Fatiguing Contraction. Research Quarterly for Exercise and Sport. 95(2). 313–324. 2 indexed citations
4.
Trevino, Michael A., Adam J. Sterczala, Jonathan D. Miller, et al.. (2022). Effects of continuous cycling training on motor unit firing rates, input excitation, and myosin heavy chain of the vastus lateralis in sedentary females. Experimental Brain Research. 240(3). 825–839. 12 indexed citations
5.
Perez, Sérgio Eduardo de Andrade, Adam J. Sterczala, Jonathan D. Miller, et al.. (2022). Effects of Endurance Cycling on Mechanomyographic Median Power Frequency of the Vastus Lateralis. Applied Sciences. 12(10). 5213–5213. 1 indexed citations
6.
Sterczala, Adam J., Jonathan D. Miller, Jake A. Deckert, et al.. (2022). A noninvasive test for estimating myosin heavy chain of the vastus lateralis in females with mechanomyography. Medical Engineering & Physics. 111(1). 103946–103946. 1 indexed citations
7.
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
8.
Trevino, Michael A., et al.. (2021). Endurance training alters motor unit activation strategies for the vastus lateralis, yet sex-related differences and relationships with muscle size remain. European Journal of Applied Physiology. 121(5). 1367–1377. 9 indexed citations
9.
Ciccone, Anthony B., et al.. (2018). Transcranial Direct Current Stimulation of the Temporal Lobe Does Not Affect High-Intensity Work Capacity. The Journal of Strength and Conditioning Research. 33(8). 2074–2086. 25 indexed citations
11.
Siedlik, Jacob A., et al.. (2017). T cell activation and proliferation following acute exercise in human subjects is altered by storage conditions and mitogen selection. Journal of Immunological Methods. 446. 7–14. 15 indexed citations
12.
Ciccone, Anthony B., et al.. (2017). Reminder: RMSSD and SD1 are identical heart rate variability metrics. Muscle & Nerve. 56(4). 674–678. 117 indexed citations
13.
Ciccone, Anthony B., Jake A. Deckert, Trent J. Herda, Philip M. Gallagher, & Joseph P. Weir. (2017). Methodological Differences in the Interpretation of Fatigue Data from Repeated Maximal Effort Knee Extensions. The Open Sports Sciences Journal. 10(1). 37–51. 2 indexed citations
14.
Deckert, Jake A., et al.. (2016). Perception of Exercise-Induced Bronchoconstriction in College Athletes. Respiratory Care. 61(7). 897–901. 10 indexed citations
15.
Siedlik, Jacob A., Jake A. Deckert, Aaron W. Clopton, et al.. (2015). Immunoendocrine alterations following Marine Corps Martial Arts training are associated with changes in moral cognitive processes. Physiology & Behavior. 154. 76–82. 9 indexed citations
16.
Siedlik, Jacob A., et al.. (2014). Instrument-assisted Soft Tissue Mobilization: Effects on the Properties of Human Plantar Flexors. International Journal of Sports Medicine. 36(3). 197–203. 36 indexed citations
17.
Kodner, Charles, et al.. (1998). Family practice residency program sites on the World Wide Web.. PubMed. 30(4). 277–8. 2 indexed citations
18.
Deckert, Jake A., et al.. (1983). Cardiovascular disease in the elderly: diagnostic dilemmas.. PubMed. 38(2). 49–50, 55. 5 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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