Mike Spillane

416 total citations
16 papers, 332 citations indexed

About

Mike Spillane is a scholar working on Cell Biology, Rehabilitation and Orthopedics and Sports Medicine. According to data from OpenAlex, Mike Spillane has authored 16 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 6 papers in Rehabilitation and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Mike Spillane's work include Muscle metabolism and nutrition (10 papers), Sports Performance and Training (6 papers) and Exercise and Physiological Responses (6 papers). Mike Spillane is often cited by papers focused on Muscle metabolism and nutrition (10 papers), Sports Performance and Training (6 papers) and Exercise and Physiological Responses (6 papers). Mike Spillane collaborates with scholars based in United States and Mexico. Mike Spillane's co-authors include Darryn S. Willoughby, Neil A. Schwarz, Elisa Morales, Richard B. Kreider, Matthew B. Cooke, Travis Harvey, Mike Greenwood, Peter W. Grandjean, Paul La Bounty and Brian Leutholtz and has published in prestigious journals such as The Journal of Strength and Conditioning Research, Nutrition Reviews and Journal of the American College of Nutrition.

In The Last Decade

Mike Spillane

16 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mike Spillane United States 12 186 134 84 81 74 16 332
Babak Hooshmand Moghadam Iran 11 104 0.6× 185 1.4× 43 0.5× 98 1.2× 67 0.9× 29 384
Mark C. Lonac United States 6 141 0.8× 226 1.7× 125 1.5× 56 0.7× 66 0.9× 6 412
A. Maleah Holland United States 11 83 0.4× 181 1.4× 30 0.4× 82 1.0× 53 0.7× 30 320
Neil A. Schwarz United States 14 116 0.6× 96 0.7× 108 1.3× 61 0.8× 74 1.0× 36 357
Stephen P. Ashcroft United Kingdom 11 103 0.6× 255 1.9× 21 0.3× 119 1.5× 64 0.9× 15 430
G Giordano United States 8 69 0.4× 144 1.1× 53 0.6× 82 1.0× 34 0.5× 22 341
Emil Wolsk Petersen Denmark 7 169 0.9× 289 2.2× 50 0.6× 105 1.3× 343 4.6× 8 588
Kurt A. Escobar United States 11 133 0.7× 163 1.2× 87 1.0× 89 1.1× 105 1.4× 31 426
Lemuel W Taylor United States 13 241 1.3× 144 1.1× 105 1.3× 117 1.4× 150 2.0× 14 448
Brian Leutholtz United States 8 210 1.1× 105 0.8× 47 0.6× 139 1.7× 97 1.3× 13 364

Countries citing papers authored by Mike Spillane

Since Specialization
Citations

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

Fields of papers citing papers by Mike Spillane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Spillane. 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 Mike Spillane. The network helps show where Mike Spillane may publish in the future.

Co-authorship network of co-authors of Mike Spillane

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

All Works

16 of 16 papers shown
1.
Spillane, Mike, et al.. (2021). Alzheimer’s disease and gut microbiota: does trimethylamine N-oxide (TMAO) play a role?. Nutrition Reviews. 80(2). 271–281. 42 indexed citations
2.
Morales, Elisa, Jeffrey S. Forsse, Paul S. Hwang, et al.. (2017). BAIBA Does Not Regulate UCP-3 Expression in Human Skeletal Muscle as a Response to Aerobic Exercise. Journal of the American College of Nutrition. 36(3). 200–209. 18 indexed citations
3.
Church, David D., Neil A. Schwarz, Mike Spillane, et al.. (2016). l-Leucine Increases Skeletal Muscle IGF-1 but Does Not Differentially Increase Akt/mTORC1 Signaling and Serum IGF-1 Compared to Ursolic Acid in Response to Resistance Exercise in Resistance-Trained Men. Journal of the American College of Nutrition. 35(7). 627–638. 24 indexed citations
4.
Schwarz, Neil A., et al.. (2016). Effect of resistance exercise intensity on the expression of PGC-1α isoforms and the anabolic and catabolic signaling mediators, IGF-1 and myostatin, in human skeletal muscle. Applied Physiology Nutrition and Metabolism. 41(8). 856–863. 22 indexed citations
5.
Spillane, Mike & Darryn S. Willoughby. (2016). Daily Overfeeding from Protein and/or Carbohydrate Supplementation for Eight Weeks in Conjunction with Resistance Training Does not Improve Body Composition and Muscle Strength or Increase Markers Indicative of Muscle Protein Synthesis and Myogenesis in Resistance-Trained Males.. PubMed. 15(1). 17–25. 18 indexed citations
6.
Schwarz, Neil A., et al.. (2015). Acute Myosin Heavy Chain Isoform mRNA Expression in Response to Two Resistance Exercise Intensities With Equal Volume Load in Resistance-Trained Men. The Journal of Strength and Conditioning Research. 29(8). 2326–2332. 5 indexed citations
8.
Church, David D., et al.. (2014). A comparison of the effects of ursolic acid and l-leucine supplementation on IGF-1 receptor and AKT-mTOR signaling in response to resistance exercise in trained men. Journal of the International Society of Sports Nutrition. 11(sup1). 3 indexed citations
9.
Spillane, Mike, Neil A. Schwarz, & Darryn S. Willoughby. (2014). Heavy resistance training and peri-exercise ingestion of a multi-ingredient ergogenic nutritional supplement in males: effects on body composition, muscle performance and markers of muscle protein synthesis.. PubMed. 13(4). 894–903. 15 indexed citations
10.
Willoughby, Darryn S., Mike Spillane, & Neil A. Schwarz. (2014). Heavy Resistance Training and Supplementation With the Alleged Testosterone Booster Nmda has No Effect on Body Composition, Muscle Performance, and Serum Hormones Associated With the Hypothalamo-Pituitary-Gonadal Axis in Resistance-Trained Males.. PubMed. 13(1). 192–9. 14 indexed citations
11.
Schwarz, Neil A., et al.. (2013). Effects of Capsaicin and Evodiamine Ingestion on Energy Expenditure and Fat Oxidation at Rest and After Moderately-Intense Exercise in Young Men. International Journal of Exercise Science: Conference Proceedings. 2(5). 11–7. 1 indexed citations
12.
Schwarz, Neil A., Mike Spillane, Paul La Bounty, et al.. (2013). Capsaicin and evodiamine ingestion does not augment energy expenditure and fat oxidation at rest or after moderately-intense exercise. Nutrition Research. 33(12). 1034–1042. 22 indexed citations
13.
Spillane, Mike, et al.. (2013). The effects of 8 weeks of heavy resistance training and branched-chain amino acid supplementation on body composition and muscle performance. Journal of the International Society of Sports Nutrition. 10(sup1). 3 indexed citations
14.
Spillane, Mike, et al.. (2012). The effects of 8 weeks of heavy resistance training and branched-chain amino acid supplementation on body composition and muscle performance. Nutrition and Health. 21(4). 263–273. 26 indexed citations
16.
Spillane, Mike, Matthew B. Cooke, Travis Harvey, et al.. (2009). The effects of creatine ethyl ester supplementation combined with heavy resistance training on body composition, muscle performance, and serum and muscle creatine levels. Journal of the International Society of Sports Nutrition. 6(1). 6–6. 70 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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