Hailey A. Parry

610 total citations
17 papers, 410 citations indexed

About

Hailey A. Parry is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Hailey A. Parry has authored 17 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Cell Biology. Recurrent topics in Hailey A. Parry's work include Adipose Tissue and Metabolism (8 papers), Muscle metabolism and nutrition (5 papers) and Mitochondrial Function and Pathology (3 papers). Hailey A. Parry is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Muscle metabolism and nutrition (5 papers) and Mitochondrial Function and Pathology (3 papers). Hailey A. Parry collaborates with scholars based in United States, Australia and Norway. Hailey A. Parry's co-authors include Andreas N. Kavazis, Michael D. Roberts, Matthew A. Romero, Petey W. Mumford, Paul A. Roberson, Cody T. Haun, C. Brooks Mobley, Shelby C. Osburn, Wendy R. Hood and Kaelin C. Young and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Naturalist.

In The Last Decade

Hailey A. Parry

17 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hailey A. Parry United States 10 157 136 110 78 58 17 410
Bridget E. Sullivan United States 8 84 0.5× 103 0.8× 139 1.3× 102 1.3× 43 0.7× 8 400
Inger Johansen Norway 7 209 1.3× 86 0.6× 197 1.8× 28 0.4× 148 2.6× 14 588
Emily E. Howard United States 8 96 0.6× 106 0.8× 86 0.8× 33 0.4× 9 0.2× 17 303
S. M. Czerwinski United States 14 223 1.4× 173 1.3× 202 1.8× 62 0.8× 11 0.2× 23 679
E. QUIROZ‐ROTHE Spain 9 136 0.9× 74 0.5× 161 1.5× 75 1.0× 6 0.1× 10 338
Gabriel Mutungi United Kingdom 12 126 0.8× 63 0.5× 38 0.3× 20 0.3× 12 0.2× 16 416
K. L. Hossner United States 18 441 2.8× 171 1.3× 137 1.2× 30 0.4× 12 0.2× 41 1.1k
Deborah Grove United States 10 158 1.0× 93 0.7× 73 0.7× 9 0.1× 11 0.2× 20 392
Francesca Caliaro Italy 8 433 2.8× 296 2.2× 173 1.6× 24 0.3× 7 0.1× 9 709
Laura Sardón Puig Spain 11 317 2.0× 341 2.5× 162 1.5× 14 0.2× 6 0.1× 14 741

Countries citing papers authored by Hailey A. Parry

Since Specialization
Citations

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

Fields of papers citing papers by Hailey A. Parry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailey A. Parry

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

All Works

17 of 17 papers shown
1.
Mesquita, Paulo H. C., Hailey A. Parry, Andreas N. Kavazis, et al.. (2024). Flexibility underlies differences in mitochondrial respiratory performance between migratory and non-migratory White-crowned Sparrows (Zonotrichia leucophrys). Scientific Reports. 14(1). 9456–9456. 10 indexed citations
2.
Parry, Hailey A., Ryan Cook, Matthew E. Wolak, et al.. (2022). Reduced Mitochondrial Respiration in Hybrid Asexual Lizards. The American Naturalist. 199(5). 719–728. 3 indexed citations
3.
Niitepõld, Kristjan, Hailey A. Parry, Arthur G. Appel, et al.. (2022). Flying on empty: reduced mitochondrial function and flight capacity in food-deprived monarch butterflies. Journal of Experimental Biology. 225(13). 4 indexed citations
4.
Hood, Wendy R., et al.. (2021). Mitochondrial Bioenergetics of Extramammary Tissues in Lactating Dairy Cattle. Animals. 11(9). 2647–2647. 14 indexed citations
5.
Parry, Hailey A., et al.. (2021). Short and long-term effect of reproduction on mitochondrial dynamics and autophagy in rats. Heliyon. 7(9). e08070–e08070. 2 indexed citations
6.
Parry, Hailey A., et al.. (2021). Development of a Mobile Mitochondrial Physiology Laboratory for Measuring Mitochondrial Energetics in the Field. Journal of Visualized Experiments. 1 indexed citations
7.
Parry, Hailey A., et al.. (2020). Uncarboxylated osteocalcin decreases insulin-stimulated glucose uptake without affecting insulin signaling and regulators of mitochondrial biogenesis in myotubes. Journal of Physiology and Biochemistry. 76(1). 169–178. 5 indexed citations
8.
Parry, Hailey A., Michael D. Roberts, & Andreas N. Kavazis. (2020). Human Skeletal Muscle Mitochondrial Adaptations Following Resistance Exercise Training. International Journal of Sports Medicine. 41(6). 349–359. 58 indexed citations
9.
Hill, Geoffrey E., Wendy R. Hood, Rhys Grinter, et al.. (2019). Plumage redness signals mitochondrial function in the house finch. Proceedings of the Royal Society B Biological Sciences. 286(1911). 20191354–20191354. 73 indexed citations
10.
Haun, Cody T., Christopher G. Vann, Shelby C. Osburn, et al.. (2019). Muscle fiber hypertrophy in response to 6 weeks of high-volume resistance training in trained young men is largely attributed to sarcoplasmic hypertrophy. PLoS ONE. 14(6). e0215267–e0215267. 65 indexed citations
11.
Parry, Hailey A., C. Brooks Mobley, Petey W. Mumford, et al.. (2019). Bovine Milk Extracellular Vesicles (EVs) Modification Elicits Skeletal Muscle Growth in Rats. Frontiers in Physiology. 10. 436–436. 31 indexed citations
12.
Haun, Cody T., Christopher G. Vann, C. Brooks Mobley, et al.. (2019). Pre-training Skeletal Muscle Fiber Size and Predominant Fiber Type Best Predict Hypertrophic Responses to 6 Weeks of Resistance Training in Previously Trained Young Men. Frontiers in Physiology. 10. 297–297. 47 indexed citations
13.
Romero, Matthew A., Petey W. Mumford, Paul A. Roberson, et al.. (2019). Five months of voluntary wheel running downregulates skeletal muscle LINE-1 gene expression in rats. American Journal of Physiology-Cell Physiology. 317(6). C1313–C1323. 9 indexed citations
14.
Roberts, Michael D., Matthew A. Romero, C. Brooks Mobley, et al.. (2018). Skeletal muscle mitochondrial volume and myozenin-1 protein differences exist between high versus low anabolic responders to resistance training. PeerJ. 6. e5338–e5338. 36 indexed citations
15.
Parry, Hailey A., Wesley C. Kephart, Petey W. Mumford, et al.. (2018). Ketogenic diet increases mitochondria volume in the liver and skeletal muscle without altering oxidative stress markers in rats. Heliyon. 4(11). e00975–e00975. 25 indexed citations
16.
Parry, Hailey A., Wesley C. Kephart, Petey W. Mumford, et al.. (2018). Lifelong Ketogenic Diet Feeding Increases Longevity, But Does Not Alter Oxidative Stress Markers in Rats. Medicine & Science in Sports & Exercise. 50(5S). 82–82. 2 indexed citations
17.
Gould, Lacey M., et al.. (2017). Metabolic effects of physiological levels of caffeine in myotubes. Journal of Physiology and Biochemistry. 74(1). 35–45. 25 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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