Daniel R. Moore

11.7k total citations · 3 hit papers
124 papers, 8.9k citations indexed

About

Daniel R. Moore is a scholar working on Cell Biology, Orthopedics and Sports Medicine and Physiology. According to data from OpenAlex, Daniel R. Moore has authored 124 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Cell Biology, 66 papers in Orthopedics and Sports Medicine and 44 papers in Physiology. Recurrent topics in Daniel R. Moore's work include Muscle metabolism and nutrition (108 papers), Sports Performance and Training (64 papers) and Exercise and Physiological Responses (39 papers). Daniel R. Moore is often cited by papers focused on Muscle metabolism and nutrition (108 papers), Sports Performance and Training (64 papers) and Exercise and Physiological Responses (39 papers). Daniel R. Moore collaborates with scholars based in Canada, United States and United Kingdom. Daniel R. Moore's co-authors include Stuart M. Phillips, Jason E. Tang, Nicholas A. Burd, Mark A. Tarnopolsky, Daniel W. D. West, Leigh Breen, Philip J. Atherton, Michael J. Rennie, Tyler A. Churchward‐Venne and Steven K. Baker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Daniel R. Moore

118 papers receiving 8.7k citations

Hit Papers

Ingestion of whey hydrolysate, casein, or soy protein iso... 2008 2026 2014 2020 2009 2008 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel R. Moore Canada 45 6.5k 4.1k 3.2k 2.1k 2.0k 124 8.9k
Nicholas A. Burd United States 45 5.7k 0.9× 4.0k 1.0× 2.8k 0.9× 2.0k 1.0× 1.6k 0.8× 146 8.5k
Kevin D. Tipton United Kingdom 52 9.3k 1.4× 6.2k 1.5× 4.2k 1.3× 2.5k 1.2× 3.1k 1.5× 105 12.5k
Leigh Breen United Kingdom 39 3.8k 0.6× 3.6k 0.9× 1.5k 0.5× 1.4k 0.7× 918 0.4× 113 6.6k
Tyler A. Churchward‐Venne Canada 34 3.4k 0.5× 2.8k 0.7× 1.5k 0.5× 1.1k 0.5× 819 0.4× 55 5.1k
Trent Stellingwerff Canada 48 4.2k 0.6× 3.0k 0.7× 2.7k 0.8× 450 0.2× 1.6k 0.8× 169 6.9k
Jason E. Tang Canada 24 3.8k 0.6× 2.1k 0.5× 1.8k 0.6× 1.2k 0.6× 1.2k 0.6× 39 4.9k
Micah J. Drummond United States 47 4.1k 0.6× 3.9k 1.0× 1.4k 0.4× 3.7k 1.8× 1.3k 0.6× 131 8.1k
Daniel W. D. West Canada 35 3.3k 0.5× 1.8k 0.4× 2.3k 0.7× 1.6k 0.8× 1.2k 0.6× 73 5.3k
Tim Snijders Netherlands 42 2.2k 0.3× 2.6k 0.6× 840 0.3× 2.4k 1.2× 1.0k 0.5× 94 5.3k
Darren G. Candow Canada 38 3.3k 0.5× 2.4k 0.6× 1.4k 0.4× 551 0.3× 906 0.4× 153 4.9k

Countries citing papers authored by Daniel R. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Moore. 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 Daniel R. Moore. The network helps show where Daniel R. Moore may publish in the future.

Co-authorship network of co-authors of Daniel R. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Moore. A scholar is included among the top collaborators of Daniel R. Moore 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 Daniel R. Moore. Daniel R. Moore 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.
Funk, Colin, Jennifer Harrington, Abdullah Al Mahmud, et al.. (2025). Serum 25-Hydroxyvitamin D and Intact Parathyroid Hormone as Functional Biomarkers of Bone Mass in Early Childhood. Journal of Nutrition. 155(6). 1782–1794.
2.
Lieshout, Glenn A. A. van, et al.. (2025). The indicator amino acid oxidation (IAAO) technique: a novel approach to assess protein intakes that maximize whole-body protein anabolism. Critical Reviews in Food Science and Nutrition. 66(6). 1172–1181.
3.
Moore, Daniel R., et al.. (2024). Protein requirements may be lower on a training compared to rest day but are not influenced by moderate training volumes in endurance trained males. Applied Physiology Nutrition and Metabolism. 49(8). 1124–1128. 2 indexed citations
7.
Salvador, Amadeo F., Colleen F. McKenna, Kevin J.M. Paulussen, et al.. (2021). Early resistance training‐mediated stimulation of daily muscle protein synthetic responses to higher habitual protein intake in middle‐aged adults. The Journal of Physiology. 599(18). 4287–4307. 6 indexed citations
8.
Lees, Matthew, Nathan Hodson, & Daniel R. Moore. (2021). A muscle-centric view of time-restricted feeding for older adults. Current Opinion in Clinical Nutrition & Metabolic Care. 24(6). 521–527. 15 indexed citations
10.
Moore, Daniel R.. (2021). Protein Requirements for Master Athletes: Just Older Versions of Their Younger Selves. Sports Medicine. 51(S1). 13–30. 16 indexed citations
11.
Moore, Daniel R., Bryon R. McKay, Mark A. Tarnopolsky, & Gianni Parise. (2018). Blunted satellite cell response is associated with dysregulated IGF-1 expression after exercise with age. European Journal of Applied Physiology. 118(10). 2225–2231. 10 indexed citations
12.
Vliet, Stephan van, Sidney Abou Sawan, Joseph W. Beals, et al.. (2017). Consumption of whole eggs promotes greater stimulation of postexercise muscle protein synthesis than consumption of isonitrogenous amounts of egg whites in young men. American Journal of Clinical Nutrition. 106(6). 1401–1412. 109 indexed citations
13.
Wooding, Denise J., Hiroyuki Kato, Daniel W. D. West, et al.. (2017). Increased Protein Requirements in Female Athletes after Variable-Intensity Exercise. Medicine & Science in Sports & Exercise. 49(11). 2297–2304. 36 indexed citations
14.
Moore, Daniel R. & Peter B. Soeters. (2015). The Biological Value of Protein. Nestlé Nutrition Institute Workshop series. 82. 39–51. 28 indexed citations
15.
Moore, Daniel R.. (2014). Keeping Older Muscle “Young” through Dietary Protein and Physical Activity. Advances in Nutrition. 5(5). 599S–607S. 65 indexed citations
16.
Moore, Daniel R., José L. Areta, Vernon G. Coffey, et al.. (2012). Daytime pattern of post-exercise protein intake affects whole-body protein turnover in resistance-trained males. SHILAP Revista de lepidopterología. 64 indexed citations
17.
Burd, Nicholas A., Daniel W. D. West, Daniel R. Moore, et al.. (2011). Enhanced Amino Acid Sensitivity of Myofibrillar Protein Synthesis Persists for up to 24 h after Resistance Exercise in Young Men1–3. Journal of Nutrition. 141(4). 568–573. 245 indexed citations
18.
Coffey, Vernon G., Daniel R. Moore, Nicholas A. Burd, et al.. (2010). Nutrient provision increases signalling and protein synthesis in human skeletal muscle after repeated sprints. European Journal of Applied Physiology. 111(7). 1473–1483. 79 indexed citations
19.
Moore, Daniel R., Philip J. Atherton, Michael J. Rennie, Mark A. Tarnopolsky, & Stuart M. Phillips. (2010). Resistance exercise enhances mTOR and MAPK signalling in human muscle over that seen at rest after bolus protein ingestion. Acta Physiologica. 201(3). 365–372. 97 indexed citations
20.
Phillips, Stuart M., Jason E. Tang, & Daniel R. Moore. (2009). The Role of Milk- and Soy-Based Protein in Support of Muscle Protein Synthesis and Muscle Protein Accretion in Young and Elderly Persons. Journal of the American College of Nutrition. 28(4). 343–354. 181 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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