H. J. Green
- Complementary and alternative medicine top 0.5%
- Orthopedics and Sports Medicine top 2%
- Cell Biology top 5%
- Physiology top 10%
- Genetics top 10%
- Co-authors
- Richard L. HughsonA. Russell TuplingJ. OuyangBrian D. RoyM. SharrattJonathon R. FowlesC. Stuart HoustonA. Cymerman
- Topics
- Cardiovascular and exercise physiology (19 papers)Muscle metabolism and nutrition (14 papers)Sports Performance and Training (11 papers)
- Journals
- Journal of Applied PhysiologyMedicine & Science in Sports & ExerciseAmerican Journal of Physiology-Endocrinology and Metabolism
- Partner nations
- CanadaUnited States
In The Last Decade
H. J. Green
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Complementary and alternative medicine 572
- Orthopedics and Sports Medicine 404
- Cell Biology 367
- Physiology 351
- Genetics 285
Countries citing papers authored by H. J. Green
This map shows the geographic impact of H. J. Green'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 H. J. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. J. Green more than expected).
Fields of papers citing papers by H. J. Green
This network shows the impact of papers produced by H. J. Green. 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 H. J. Green. The network helps show where H. J. Green may publish in the future.
Co-authorship network of co-authors of H. J. Green
This figure shows the co-authorship network connecting the top 25 collaborators of H. J. Green. A scholar is included among the top collaborators of H. J. Green 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 H. J. Green. H. J. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 8 | |
| 3 | 11 | |
| 4 | 29 | |
| 5 | 20 | |
| 6 | 19 | |
| 7 | 23 | |
| 8 | 16 | |
| 9 | 47 | |
| 10 | 19 | |
| 11 | 13 | |
| 12 | 51 | |
| 13 | 22 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 25 | |
| 17 | 55 | |
| 18 | 68 | |
| 19 | 14 | |
| 20 | 10 |
About H. J. Green
H. J. Green is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine and Cell Biology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (19 papers), Muscle metabolism and nutrition (14 papers) and Sports Performance and Training (11 papers). The work is most often cited by research in Complementary and alternative medicine (572 citations), Orthopedics and Sports Medicine (404 citations) and Rehabilitation (179 citations). H. J. Green has collaborated with scholars based in Canada and United States. Frequent co-authors include Richard L. Hughson, A. Russell Tupling, J. Ouyang, Brian D. Roy, M. Sharratt, Jonathon R. Fowles, C. Stuart Houston, A. Cymerman, J. R. Sutton and P. M. Young. Their work appears in journals such as Journal of Applied Physiology, Medicine & Science in Sports & Exercise and American Journal of Physiology-Endocrinology and Metabolism.
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.