Andrew J. McAinch
- Physiology top 2%
- Pharmacology top 1%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Co-authors
- Deanne H. HryciwMichael L. MathaiDavid Cameron‐SmithJessica F. BriffaShaan NaughtonKayte A. JenkinGary WittertGeorge Hatzinikolas
- Topics
- Adipose Tissue and Metabolism (33 papers)Cannabis and Cannabinoid Research (19 papers)Muscle metabolism and nutrition (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- AustraliaSwitzerlandChina
In The Last Decade
Andrew J. McAinch
108 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 126
- Physiology 1.0k
- Pharmacology 765
- Molecular Biology 688
- Endocrinology, Diabetes and Metabolism 534
- Epidemiology 498
Countries citing papers authored by Andrew J. McAinch
This map shows the geographic impact of Andrew J. McAinch'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 Andrew J. McAinch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. McAinch more than expected).
Fields of papers citing papers by Andrew J. McAinch
This network shows the impact of papers produced by Andrew J. McAinch. 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 Andrew J. McAinch. The network helps show where Andrew J. McAinch may publish in the future.
Co-authorship network of co-authors of Andrew J. McAinch
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. McAinch. A scholar is included among the top collaborators of Andrew J. McAinch 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 Andrew J. McAinch. Andrew J. McAinch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | Eight Weeks of Combined Exercise Training Induced Improvements in Insulin Sensitivity is Associated with Improvement in Aerobic Capacity, but not with Improvement in Strength. | 2 |
| 13 | High Fat Diet Induced Obesity Impairs Skeletal Muscle Glycogen and Lipid Preservation After Adiponectin Incubation | 1 |
| 14 | 40 | |
| 15 | 22 | |
| 16 | 2 | |
| 17 | 16 | |
| 18 | 49 | |
| 19 | 48 | |
| 20 | 85 |
About Andrew J. McAinch
Andrew J. McAinch is a scholar working on Endocrine and Autonomic Systems, Physiology and Rehabilitation, having authored 109 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (33 papers), Cannabis and Cannabinoid Research (19 papers) and Muscle metabolism and nutrition (15 papers). The work is most often cited by research in Endocrine and Autonomic Systems (335 citations), Pharmacology (765 citations) and Physiology (1.0k citations). Andrew J. McAinch has collaborated with scholars based in Australia, Switzerland and China. Frequent co-authors include Deanne H. Hryciw, Michael L. Mathai, David Cameron‐Smith, Jessica F. Briffa, Shaan Naughton, Kayte A. Jenkin, Gary Wittert, George Hatzinikolas, Paul E. O’Brien and Philip Poronnik. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & 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.