Gerard T. Chew
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Surgery
- Physiology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Gerald F. WattsAmirhossein SahebkarSandra J. HamiltonJohn P. WalshSeng Khee GanRichard WoodmanBronwyn StuckeyTimothy M. E. Davis
- Topics
- Cardiovascular Health and Disease Prevention (6 papers)Vitamin D Research Studies (4 papers)Lipoproteins and Cardiovascular Health (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetes CareArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- AustraliaIranUnited Kingdom
In The Last Decade
Gerard T. Chew
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 524
- Molecular Biology 320
- Surgery 187
- Physiology 176
- Pathology and Forensic Medicine 172
Countries citing papers authored by Gerard T. Chew
This map shows the geographic impact of Gerard T. Chew'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 Gerard T. Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard T. Chew more than expected).
Fields of papers citing papers by Gerard T. Chew
This network shows the impact of papers produced by Gerard T. Chew. 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 Gerard T. Chew. The network helps show where Gerard T. Chew may publish in the future.
Co-authorship network of co-authors of Gerard T. Chew
This figure shows the co-authorship network connecting the top 25 collaborators of Gerard T. Chew. A scholar is included among the top collaborators of Gerard T. Chew 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 Gerard T. Chew. Gerard T. Chew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 20 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 156 | |
| 8 | 141 | |
| 9 | 41 | |
| 10 | 27 | |
| 11 | 4 | |
| 12 | 38 | |
| 13 | 32 | |
| 14 | 82 | |
| 15 | 92 | |
| 16 | 56 | |
| 17 | 78 | |
| 18 | 140 | |
| 19 | 62 | |
| 20 | 155 |
About Gerard T. Chew
Gerard T. Chew is a scholar working on Cardiology and Cardiovascular Medicine, Orthopedics and Sports Medicine and Biochemistry, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (6 papers), Vitamin D Research Studies (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (524 citations), Biochemistry (80 citations) and Pathology and Forensic Medicine (172 citations). Gerard T. Chew has collaborated with scholars based in Australia, Iran and United Kingdom. Frequent co-authors include Gerald F. Watts, Amirhossein Sahebkar, Sandra J. Hamilton, John P. Walsh, Seng Khee Gan, Richard Woodman, Bronwyn Stuckey, Timothy M. E. Davis, Paul Glendenning and Joey Kaye. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Arteriosclerosis Thrombosis and Vascular Biology.
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.