Trevor G. Redgrave
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Molecular Biology
- Nutrition and Dietetics top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Gerald F. WattsRaul Cavalcante MaranhãoDick C. ChanP. Hugh R. BarrettIan MartinsTrevor A. MoriBok‐Cheng MortimerLawrence J. Beilin
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers)Lipid metabolism and biosynthesis (11 papers)Cholesterol and Lipid Metabolism (10 papers)
- Journals
- American Journal of Clinical NutritionThe Journal of Clinical Endocrinology & MetabolismBiochemistry
- Partner nations
- AustraliaUnited StatesDenmark
In The Last Decade
Trevor G. Redgrave
57 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Endocrinology, Diabetes and Metabolism 798
- Surgery 629
- Molecular Biology 462
- Nutrition and Dietetics 429
- Cardiology and Cardiovascular Medicine 401
Countries citing papers authored by Trevor G. Redgrave
This map shows the geographic impact of Trevor G. Redgrave'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 Trevor G. Redgrave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor G. Redgrave more than expected).
Fields of papers citing papers by Trevor G. Redgrave
This network shows the impact of papers produced by Trevor G. Redgrave. 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 Trevor G. Redgrave. The network helps show where Trevor G. Redgrave may publish in the future.
Co-authorship network of co-authors of Trevor G. Redgrave
This figure shows the co-authorship network connecting the top 25 collaborators of Trevor G. Redgrave. A scholar is included among the top collaborators of Trevor G. Redgrave 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 Trevor G. Redgrave. Trevor G. Redgrave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 8 | |
| 3 | 45 | |
| 4 | 150 | |
| 5 | 35 | |
| 6 | 117 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 44 | |
| 13 | Charge effects on chylomicron clearance in rats. | 6 |
| 14 | 6 | |
| 15 | 36 | |
| 16 | 28 | |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 43 | |
| 20 | 46 |
About Trevor G. Redgrave
Trevor G. Redgrave is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Clinical Biochemistry, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers), Lipid metabolism and biosynthesis (11 papers) and Cholesterol and Lipid Metabolism (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (798 citations), Biochemistry (286 citations) and Nutrition and Dietetics (429 citations). Trevor G. Redgrave has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Gerald F. Watts, Raul Cavalcante Maranhão, Dick C. Chan, P. Hugh R. Barrett, Ian Martins, Trevor A. Mori, Bok‐Cheng Mortimer, Lawrence J. Beilin, Matthew J. Callow and John Mamo. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.
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.