Austin J. Graybeal

829 total citations
52 papers, 586 citations indexed

About

Austin J. Graybeal is a scholar working on Physiology, Cell Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Austin J. Graybeal has authored 52 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Physiology, 15 papers in Cell Biology and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Austin J. Graybeal's work include Body Composition Measurement Techniques (16 papers), Muscle metabolism and nutrition (15 papers) and Diet and metabolism studies (12 papers). Austin J. Graybeal is often cited by papers focused on Body Composition Measurement Techniques (16 papers), Muscle metabolism and nutrition (15 papers) and Diet and metabolism studies (12 papers). Austin J. Graybeal collaborates with scholars based in United States and Italy. Austin J. Graybeal's co-authors include Grant M. Tinsley, M. Lane Moore, Antonio Paoli, Meena Shah, Trisha A. VanDusseldorp, Youngdeok Kim, John R. Harry, Joaquin U. Gonzales, Andreas Kreutzer and Brett S. Nickerson and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and Medicine & Science in Sports & Exercise.

In The Last Decade

Austin J. Graybeal

48 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Austin J. Graybeal United States 13 420 131 104 98 98 52 586
Fernanda R. Goltz United Kingdom 8 299 0.7× 111 0.8× 43 0.4× 69 0.7× 100 1.0× 13 479
Eiichi Yoshimura Japan 16 401 1.0× 66 0.5× 45 0.4× 184 1.9× 47 0.5× 33 594
Matthew T. Stratton United States 15 390 0.9× 143 1.1× 47 0.5× 67 0.7× 180 1.8× 44 633
David J. Clayton United Kingdom 16 590 1.4× 220 1.7× 198 1.9× 257 2.6× 80 0.8× 42 875
Jeffrey S. Forsse United States 9 342 0.8× 44 0.3× 138 1.3× 32 0.3× 41 0.4× 48 474
Denis Foschini Brazil 12 203 0.5× 52 0.4× 41 0.4× 115 1.2× 147 1.5× 25 523
Hayato Nakao Japan 9 226 0.5× 27 0.2× 112 1.1× 68 0.7× 44 0.4× 21 499
Omar Ben Ounis France 15 387 0.9× 113 0.9× 47 0.5× 190 1.9× 262 2.7× 27 825
M Verdun United States 4 185 0.4× 139 1.1× 74 0.7× 99 1.0× 186 1.9× 6 491
Nejmeddine Ouerghi Tunisia 14 201 0.5× 45 0.3× 36 0.3× 67 0.7× 152 1.6× 49 480

Countries citing papers authored by Austin J. Graybeal

Since Specialization
Citations

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

Fields of papers citing papers by Austin J. Graybeal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Austin J. Graybeal. 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 Austin J. Graybeal. The network helps show where Austin J. Graybeal may publish in the future.

Co-authorship network of co-authors of Austin J. Graybeal

This figure shows the co-authorship network connecting the top 25 collaborators of Austin J. Graybeal. A scholar is included among the top collaborators of Austin J. Graybeal 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 Austin J. Graybeal. Austin J. Graybeal 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.
Graybeal, Austin J., et al.. (2024). Fat-free mass is associated with exercise pressor responses, but not cold pressor responses, in humans: influence of maximal voluntary contraction. Frontiers in Sports and Active Living. 6. 3196–3201. 3 indexed citations
2.
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Tinsley, Grant M., et al.. (2024). Mobile phone applications for 3-dimensional scanning and digital anthropometry: a precision comparison with traditional scanners. European Journal of Clinical Nutrition. 78(6). 509–514. 8 indexed citations
4.
Graybeal, Austin J., et al.. (2024). Predicting Bone Mineral Content from Smartphone Digital Anthropometrics: Evaluation of an Existing Application and the Development of New Prediction Models. Journal of Clinical Densitometry. 28(1). 101537–101537. 3 indexed citations
5.
Shah, Meena, et al.. (2023). Training Modifications in Endurance Athletes Due to COVID-19 Restrictions. SHILAP Revista de lepidopterología. 3(7). 1011–1023. 1 indexed citations
6.
Kreutzer, Andreas, et al.. (2023). Nutrient Adequacy in Endurance Athletes. International Journal of Environmental Research and Public Health. 20(8). 5469–5469. 7 indexed citations
7.
Graybeal, Austin J., et al.. (2023). Chronic and Postprandial Metabolic Responses to a Ketogenic Diet Compared to High-Carbohydrate and Habitual Diets in Trained Competitive Cyclists and Triathletes: A Randomized Crossover Trial. International Journal of Environmental Research and Public Health. 20(2). 1110–1110. 2 indexed citations
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Graybeal, Austin J., et al.. (2023). Evaluation of automated anthropometrics produced by smartphone-based machine learning: a comparison with traditional anthropometric assessments. British Journal Of Nutrition. 130(6). 1077–1087. 23 indexed citations
11.
Graybeal, Austin J., et al.. (2022). Validity and reliability of a mobile digital imaging analysis trained by a four‐compartment model. Journal of Human Nutrition and Dietetics. 36(3). 905–911. 15 indexed citations
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Tinsley, Grant M., et al.. (2022). Smartwatch-based bioimpedance analysis for body composition estimation: precision and agreement with a 4-compartment model. Applied Physiology Nutrition and Metabolism. 48(2). 172–182. 9 indexed citations
14.
Kreutzer, Andreas, et al.. (2022). Ketogenic and High-Carbohydrate Diets in Cyclists and Triathletes. 1(4). 2 indexed citations
15.
Kreutzer, Andreas, et al.. (2022). Caffeine Supplementation Strategies Among Endurance Athletes. Frontiers in Sports and Active Living. 4. 821750–821750. 10 indexed citations
16.
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Tinsley, Grant M., M. Lane Moore, Austin J. Graybeal, et al.. (2019). Time-restricted feeding plus resistance training in active females: a randomized trial. American Journal of Clinical Nutrition. 110(3). 628–640. 164 indexed citations
18.
Tinsley, Grant M., M. Lane Moore, & Austin J. Graybeal. (2018). Precision of Dual-Energy X-Ray Absorptiometry Reflection Scans in Muscular Athletes. Journal of Clinical Densitometry. 23(4). 647–655. 15 indexed citations
19.
Tinsley, Grant M., M. Lane Moore, & Austin J. Graybeal. (2018). Reliability of hunger-related assessments during 24-hour fasts and their relationship to body composition and subsequent energy compensation. Physiology & Behavior. 188. 221–226. 8 indexed citations
20.
Tinsley, Grant M., Austin J. Graybeal, M. Lane Moore, & Brett S. Nickerson. (2018). Fat-free Mass Characteristics of Muscular Physique Athletes. Medicine & Science in Sports & Exercise. 51(1). 193–201. 24 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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