S. A. Paul Chubb
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Orthopedics and Sports Medicine top 1%
- Physiology top 5%
- Pharmacology top 2%
- Co-authors
- Bu B. YeapLeon FlickerGraeme J. HankeyOsvaldo P. AlmeidaPaul E. NormanZoë HydeTimothy M. E. DavisWendy A. Davis
- Topics
- Hormonal and reproductive studies (30 papers)Bone health and osteoporosis research (22 papers)Growth Hormone and Insulin-like Growth Factors (12 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismOrthopedics and Sports MedicineBehavioral Neuroscience
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
S. A. Paul Chubb
92 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 124
- Endocrinology, Diabetes and Metabolism 2.3k
- Molecular Biology 809
- Orthopedics and Sports Medicine 627
- Physiology 498
- Pharmacology 458
Countries citing papers authored by S. A. Paul Chubb
This map shows the geographic impact of S. A. Paul Chubb'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 S. A. Paul Chubb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. A. Paul Chubb more than expected).
Fields of papers citing papers by S. A. Paul Chubb
This network shows the impact of papers produced by S. A. Paul Chubb. 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 S. A. Paul Chubb. The network helps show where S. A. Paul Chubb may publish in the future.
Co-authorship network of co-authors of S. A. Paul Chubb
This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Paul Chubb. A scholar is included among the top collaborators of S. A. Paul Chubb 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 S. A. Paul Chubb. S. A. Paul Chubb 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 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 84 | |
| 8 | 27 | |
| 9 | 45 | |
| 10 | 67 | |
| 11 | 123 | |
| 12 | 34 | |
| 13 | Prevalence of Sexual Activity and Associated Factors in Men Aged 75 to 95 Years | 6 |
| 14 | 141 | |
| 15 | 211 | |
| 16 | 90 | |
| 17 | 44 | |
| 18 | 105 | |
| 19 | 75 | |
| 20 | 38 |
About S. A. Paul Chubb
S. A. Paul Chubb is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Behavioral Neuroscience, having authored 95 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (30 papers), Bone health and osteoporosis research (22 papers) and Growth Hormone and Insulin-like Growth Factors (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Orthopedics and Sports Medicine (627 citations) and Behavioral Neuroscience (189 citations). S. A. Paul Chubb has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Bu B. Yeap, Leon Flicker, Graeme J. Hankey, Osvaldo P. Almeida, Paul E. Norman, Zoë Hyde, Timothy M. E. Davis, Wendy A. Davis, Kieran McCaul and Helman Alfonso. Their work appears in journals such as Annals of Internal Medicine, PLoS ONE and Endocrine Reviews.
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.