Garth J. S. Cooper
- Molecular Biology top 0.5%
- Physiology top 0.1%
- Epidemiology top 0.5%
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Co-authors
- Yu WangAimin XuKaren S.L. LamLance Yi XuBrendan LeightonHussila KeshawAnne ClarkK.B.M. Reid
- Topics
- Pancreatic function and diabetes (56 papers)Alzheimer's disease research and treatments (38 papers)Adipose Tissue and Metabolism (31 papers)
- Partner nations
- New ZealandUnited KingdomUnited States
In The Last Decade
Garth J. S. Cooper
280 papers receiving 16.6k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 6.7k
- Physiology 5.7k
- Epidemiology 3.7k
- Surgery 3.5k
- Endocrinology, Diabetes and Metabolism 2.8k
Countries citing papers authored by Garth J. S. Cooper
This map shows the geographic impact of Garth J. S. Cooper'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 Garth J. S. Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garth J. S. Cooper more than expected).
Fields of papers citing papers by Garth J. S. Cooper
This network shows the impact of papers produced by Garth J. S. Cooper. 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 Garth J. S. Cooper. The network helps show where Garth J. S. Cooper may publish in the future.
Co-authorship network of co-authors of Garth J. S. Cooper
This figure shows the co-authorship network connecting the top 25 collaborators of Garth J. S. Cooper. A scholar is included among the top collaborators of Garth J. S. Cooper 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 Garth J. S. Cooper. Garth J. S. Cooper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 77 | |
| 5 | 18 | |
| 6 | 89 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 75 | |
| 10 | 41 | |
| 11 | 47 | |
| 12 | 6 | |
| 13 | 47 | |
| 14 | 33 | |
| 15 | 232 | |
| 16 | 56 | |
| 17 | Protein concentration in the rat maternal diet programs appetite and glucose metabolism in the offspring | 1 |
| 18 | 39 | |
| 19 | 9 | |
| 20 | 21 |
About Garth J. S. Cooper
Garth J. S. Cooper is a scholar working on Clinical Biochemistry, Physiology and Endocrine and Autonomic Systems, having authored 282 papers that have together received 17.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (56 papers), Alzheimer's disease research and treatments (38 papers) and Adipose Tissue and Metabolism (31 papers). The work is most often cited by research in Physiology (5.7k citations), Endocrine and Autonomic Systems (1.3k citations) and Endocrinology, Diabetes and Metabolism (2.8k citations). Garth J. S. Cooper has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Yu Wang, Aimin Xu, Karen S.L. Lam, Lance Yi Xu, Brendan Leighton, Hussila Keshaw, Anne Clark, K.B.M. Reid, R. C. Turner and Shaoping Zhang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.