Michelle Gray

1.5k total citations
80 papers, 1.0k citations indexed

About

Michelle Gray is a scholar working on Physiology, Psychiatry and Mental health and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Michelle Gray has authored 80 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physiology, 20 papers in Psychiatry and Mental health and 16 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Michelle Gray's work include Balance, Gait, and Falls Prevention (16 papers), Muscle metabolism and nutrition (15 papers) and Sports Performance and Training (13 papers). Michelle Gray is often cited by papers focused on Balance, Gait, and Falls Prevention (16 papers), Muscle metabolism and nutrition (15 papers) and Sports Performance and Training (13 papers). Michelle Gray collaborates with scholars based in United States, United Kingdom and Australia. Michelle Gray's co-authors include Jordan M. Glenn, Jennifer L. Vincenzo, Nicole E. Moyen, Erica N. Madero, Nick Bott, Jamie Baum, R J Anderson, Rory Fitzgerald, Stavros A. Kavouras and Debbie Collins and has published in prestigious journals such as Journal of Nutrition, Medicine & Science in Sports & Exercise and Nutrients.

In The Last Decade

Michelle Gray

73 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Gray United States 20 366 190 182 163 135 80 1.0k
Marzo Edir Da Silva‐Grigoletto Brazil 23 407 1.1× 123 0.6× 95 0.5× 154 0.9× 259 1.9× 153 1.7k
S Okada Japan 19 174 0.5× 63 0.3× 135 0.7× 132 0.8× 48 0.4× 57 1.2k
Jorge Carlos‐Vivas Spain 22 273 0.7× 58 0.3× 123 0.7× 167 1.0× 118 0.9× 119 1.6k
Antonis Kambas Greece 24 269 0.7× 105 0.6× 280 1.5× 235 1.4× 188 1.4× 61 1.9k
Felipe J. Aidar Brazil 20 283 0.8× 127 0.7× 125 0.7× 130 0.8× 329 2.4× 213 1.4k
José Moncada‐Jiménez Costa Rica 17 384 1.0× 91 0.5× 50 0.3× 77 0.5× 91 0.7× 145 1.1k
Isabel Balaguer Solá Spain 6 366 1.0× 122 0.6× 73 0.4× 122 0.7× 90 0.7× 17 1.2k
José Leandro Tristán Rodríguez Mexico 13 380 1.0× 123 0.6× 79 0.4× 176 1.1× 91 0.7× 61 1.6k
K. Jasmin Canada 15 343 0.9× 29 0.2× 256 1.4× 53 0.3× 145 1.1× 37 1.0k
Elizabeth O’Neill United States 11 184 0.5× 63 0.3× 460 2.5× 322 2.0× 87 0.6× 21 1.3k

Countries citing papers authored by Michelle Gray

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Gray. A scholar is included among the top collaborators of Michelle Gray 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 Michelle Gray. Michelle Gray 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.
2.
Bryk, Kelsey, et al.. (2024). Initial Perspectives From Rural-Residing Adults on a Digital Cognitive Health Coaching Intervention: Exploratory Qualitative Analysis. JMIR Formative Research. 8. e51400–e51400. 1 indexed citations
3.
Glenn, Jordan M., et al.. (2023). Differences in Habitual and Maximal Gait Velocity Across Age Groups: A Cross-Sectional Examination. Journal of Aging and Physical Activity. 31(6). 923–929. 2 indexed citations
4.
Engelhardt, Katharina A. M., et al.. (2023). Calm after the storm? Similar patterns of genetic variation in a riverine foundation species before and after severe disturbance. Ecology and Evolution. 13(11). e10670–e10670. 2 indexed citations
5.
Bryk, Kelsey, et al.. (2022). The effect of a digital health coaching and health education protocol on cognition in adults at-risk for Alzheimer’s. GeroScience. 45(2). 1147–1159. 4 indexed citations
6.
Madero, Erica N., et al.. (2022). A Novel Digital Digit-Symbol Substitution Test Measuring Processing Speed in Adults At Risk for Alzheimer Disease: Validation Study. JMIR Aging. 6. e36663–e36663. 7 indexed citations
7.
Gray, Michelle, et al.. (2021). Intervention for a Digital, Cognitive, Multi-Domain Alzheimer Risk Velocity Study: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 11(2). e31841–e31841. 10 indexed citations
8.
Liu, Tingting, et al.. (2021). FEASibility testing a randomized controlled trial of an exercise program to improve cognition for T2DM patients (the FEAST trial): A study protocol. Research in Nursing & Health. 44(5). 746–757. 4 indexed citations
9.
Liu, Tingting, et al.. (2020). The Influence of the BDNF Val66Met Polymorphism on the Association of Regular Physical Activity With Cognition Among Individuals With Diabetes. Biological Research For Nursing. 23(3). 318–330. 11 indexed citations
10.
Rogers, Jeffrey M., et al.. (2020). Acute effects of Nitrosigine® and citrulline malate on vasodilation in young adults. Journal of the International Society of Sports Nutrition. 17(1). 12–12. 10 indexed citations
11.
Bott, Nick, et al.. (2020). A short digital eye-tracking assessment predicts cognitive status among adults. GeroScience. 43(1). 297–308. 21 indexed citations
13.
Gray, Michelle, et al.. (2018). Longitudinal comparison of low- and high-velocity resistance training in relation to body composition and functional fitness of older adults. Aging Clinical and Experimental Research. 30(12). 1465–1473. 15 indexed citations
14.
Gray, Michelle, et al.. (2017). Changes in lean mass and serum myostatin with habitual protein intake and high-velocity resistance training. The journal of nutrition health & aging. 21(10). 1111–1117. 16 indexed citations
15.
Gray, Michelle, et al.. (2014). Thermic effect of food, exercise, and total energy expenditure in active females. Journal of science and medicine in sport. 18(2). 204–208. 14 indexed citations
16.
Gray, Michelle, et al.. (2014). Parameters of Gait Among Community-Dwelling Older Adults. Journal of Geriatric Physical Therapy. 38(1). 28–32. 16 indexed citations
17.
Glenn, Jordan M., et al.. (2014). Development of a Prediction Equation for Vertical Power in Masters Level Basketball Athletes. International journal of exercise science. 7(2). 119–127. 4 indexed citations
18.
Gray, Michelle, et al.. (2013). The effects of power and strength training on bone mineral density in premenopausal women.. PubMed. 53(4). 428–36. 11 indexed citations
19.
Fitzgerald, Rory, et al.. (2011). Identifying sources of error in cross-national questionnaires: Application of an error source typology to cognitive interview data. Journal of Official Statistics. 27(4). 569–599. 28 indexed citations
20.
Lirgg, Cathy, et al.. (2011). The Effect of Climbing Wall Use on the Grip Strength of Fourth-Grade Students. Research Quarterly for Exercise and Sport. 82(2). 350–354. 4 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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