CT Cowell
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Pediatrics, Perinatology and Child Health top 5%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Alison PoultonMartin SilinkSarah P. GarnettJulie BriodyGraham D. OgleMadlen GazarianMary‐Ann BonneyM. Jimenez
- Topics
- Growth Hormone and Insulin-like Growth Factors (11 papers)Bone health and treatments (7 papers)Bone fractures and treatments (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismOrthopedics and Sports MedicinePediatrics, Perinatology and Child Health
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetologiaAnnals of the Rheumatic Diseases
- Partner nations
- AustraliaUnited StatesSingapore
In The Last Decade
CT Cowell
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 445
- Surgery 236
- Pediatrics, Perinatology and Child Health 236
- Molecular Biology 222
- Genetics 220
Countries citing papers authored by CT Cowell
This map shows the geographic impact of CT Cowell'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 CT Cowell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CT Cowell more than expected).
Fields of papers citing papers by CT Cowell
This network shows the impact of papers produced by CT Cowell. 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 CT Cowell. The network helps show where CT Cowell may publish in the future.
Co-authorship network of co-authors of CT Cowell
This figure shows the co-authorship network connecting the top 25 collaborators of CT Cowell. A scholar is included among the top collaborators of CT Cowell 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 CT Cowell. CT Cowell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 160 | |
| 3 | 97 | |
| 4 | 73 | |
| 5 | 96 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 100 | |
| 10 | 32 | |
| 11 | 44 | |
| 12 | 5 | |
| 13 | 38 | |
| 14 | 13 | |
| 15 | 41 | |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 26 |
About CT Cowell
CT Cowell is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Genetics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Bone health and treatments (7 papers) and Bone fractures and treatments (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (445 citations), Orthopedics and Sports Medicine (121 citations) and Pediatrics, Perinatology and Child Health (236 citations). CT Cowell has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Alison Poulton, Martin Silink, Sarah P. Garnett, Julie Briody, Graham D. Ogle, Madlen Gazarian, Mary‐Ann Bonney, M. Jimenez, Steven C. Rogers and Don McNeil. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetologia and Annals of the Rheumatic Diseases.
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.