Brad S. Currier
- Physiology top 10%
- Cell Biology top 5%
- Orthopedics and Sports Medicine top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Co-authors
- Stuart M. PhillipsJonathan C. McleodJames McKendryEverson Araújo NunesChanghyun LimChad M. KerksickRichard A. SteckerHannah A. Zabriskie
- Topics
- Muscle metabolism and nutrition (15 papers)Sports Performance and Training (12 papers)Cardiovascular and exercise physiology (5 papers)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Brad S. Currier
22 papers receiving 679 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Physiology 317
- Cell Biology 249
- Orthopedics and Sports Medicine 193
- Molecular Biology 115
- Public Health, Environmental and Occupational Health 83
Countries citing papers authored by Brad S. Currier
This map shows the geographic impact of Brad S. Currier'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 Brad S. Currier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad S. Currier more than expected).
Fields of papers citing papers by Brad S. Currier
This network shows the impact of papers produced by Brad S. Currier. 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 Brad S. Currier. The network helps show where Brad S. Currier may publish in the future.
Co-authorship network of co-authors of Brad S. Currier
This figure shows the co-authorship network connecting the top 25 collaborators of Brad S. Currier. A scholar is included among the top collaborators of Brad S. Currier 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 Brad S. Currier. Brad S. Currier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 20 | |
| 3 | 2 | |
| 4 | Resistance training prescription for muscle strength and hypertrophy in healthy adults: a systematic review and Bayesian network meta-analysisbreakdown → | 78 |
| 5 | 1 | |
| 6 | The influence of resistance exercise training prescription variables on skeletal muscle mass, strength, and physical function in healthy adults: An umbrella reviewbreakdown → | 83 |
| 7 | 67 | |
| 8 | 95 | |
| 9 | 14 | |
| 10 | 16 | |
| 11 | 77 | |
| 12 | 17 | |
| 13 | 24 | |
| 14 | 13 | |
| 15 | 38 | |
| 16 | 15 | |
| 17 | 15 | |
| 18 | 25 | |
| 19 | 10 | |
| 20 | 46 |
About Brad S. Currier
Brad S. Currier is a scholar working on Orthopedics and Sports Medicine, Cell Biology and Complementary and alternative medicine, having authored 22 papers that have together received 695 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (15 papers), Sports Performance and Training (12 papers) and Cardiovascular and exercise physiology (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (193 citations), Cell Biology (249 citations) and Physiology (317 citations). Brad S. Currier has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Stuart M. Phillips, Jonathan C. Mcleod, James McKendry, Everson Araújo Nunes, Changhyun Lim, Chad M. Kerksick, Richard A. Stecker, Hannah A. Zabriskie, Patrick S. Harty and Andrew R. Jagim. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and Medicine & Science in Sports & Exercise.
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.