Steve D. McCole
- Orthopedics and Sports Medicine top 2%
- Physiology top 10%
- Complementary and alternative medicine top 2%
- Genetics top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- James M. HagbergGeoffrey E. MooreJoseph M. ZmudaRobert E. FerrellKenneth R. WilundMichael D. BrownRick AndersonLi Li
- Topics
- Sports Performance and Training (9 papers)Cardiovascular and exercise physiology (9 papers)Cardiovascular Effects of Exercise (7 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Steve D. McCole
26 papers receiving 726 citations
Peers
Comparison fields: 5 of 88
- Orthopedics and Sports Medicine 331
- Physiology 233
- Complementary and alternative medicine 226
- Genetics 209
- Cardiology and Cardiovascular Medicine 190
Countries citing papers authored by Steve D. McCole
This map shows the geographic impact of Steve D. McCole'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 Steve D. McCole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve D. McCole more than expected).
Fields of papers citing papers by Steve D. McCole
This network shows the impact of papers produced by Steve D. McCole. 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 Steve D. McCole. The network helps show where Steve D. McCole may publish in the future.
Co-authorship network of co-authors of Steve D. McCole
This figure shows the co-authorship network connecting the top 25 collaborators of Steve D. McCole. A scholar is included among the top collaborators of Steve D. McCole 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 Steve D. McCole. Steve D. McCole is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Effects of 3-Weeks of High-Intensity Interval Training on Running Economy and Endurance | 2 |
| 2 | 16 | |
| 3 | 8 | |
| 4 | 18 | |
| 5 | 0 | |
| 6 | 29 | |
| 7 | 27 | |
| 8 | 18 | |
| 9 | 39 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 19 | |
| 14 | 32 | |
| 15 | 30 | |
| 16 | 5 | |
| 17 | 56 | |
| 18 | 70 | |
| 19 | 62 | |
| 20 | 1 |
About Steve D. McCole
Steve D. McCole is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine and Cell Biology, having authored 27 papers that have together received 783 indexed citations. Recurring topics across this work include Sports Performance and Training (9 papers), Cardiovascular and exercise physiology (9 papers) and Cardiovascular Effects of Exercise (7 papers). The work is most often cited by research in Orthopedics and Sports Medicine (331 citations), Complementary and alternative medicine (226 citations) and Cell Biology (183 citations). Steve D. McCole has collaborated with scholars based in United States and Germany. Frequent co-authors include James M. Hagberg, Geoffrey E. Moore, Joseph M. Zmuda, Robert E. Ferrell, Kenneth R. Wilund, Michael D. Brown, Rick Anderson, Li Li, Graham E. Caldwell and Mary T. Korytkowski. Their work appears in journals such as Diabetes Care, Journal of Applied Physiology and Hypertension.
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.