Eugene J. Barrett
- Physiology top 0.1%
- Cardiology and Cardiovascular Medicine top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Molecular Biology top 2%
- Cell Biology top 0.2%
- Co-authors
- Zhenqi LiuStephen RattiganMichael G. ClarkR. GelfandMichelle A. VincentLinda A. JahnJonathan R. LindnerDavid A. Fryburg
- Topics
- Adipose Tissue and Metabolism (53 papers)Muscle metabolism and nutrition (50 papers)Cardiovascular and exercise physiology (47 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Eugene J. Barrett
223 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Physiology 5.8k
- Cardiology and Cardiovascular Medicine 4.4k
- Endocrinology, Diabetes and Metabolism 3.8k
- Molecular Biology 3.3k
- Cell Biology 2.6k
Countries citing papers authored by Eugene J. Barrett
This map shows the geographic impact of Eugene J. Barrett'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 Eugene J. Barrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene J. Barrett more than expected).
Fields of papers citing papers by Eugene J. Barrett
This network shows the impact of papers produced by Eugene J. Barrett. 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 Eugene J. Barrett. The network helps show where Eugene J. Barrett may publish in the future.
Co-authorship network of co-authors of Eugene J. Barrett
This figure shows the co-authorship network connecting the top 25 collaborators of Eugene J. Barrett. A scholar is included among the top collaborators of Eugene J. Barrett 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 Eugene J. Barrett. Eugene J. Barrett 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 | 5 | |
| 3 | 7 | |
| 4 | 22 | |
| 5 | 88 | |
| 6 | 22 | |
| 7 | 43 | |
| 8 | 98 | |
| 9 | 371 | |
| 10 | 8 | |
| 11 | 89 | |
| 12 | 12 | |
| 13 | 47 | |
| 14 | 123 | |
| 15 | 90 | |
| 16 | 23 | |
| 17 | 3 | |
| 18 | 16 | |
| 19 | 35 | |
| 20 | 2 |
About Eugene J. Barrett
Eugene J. Barrett is a scholar working on Complementary and alternative medicine, Physiology and Cell Biology, having authored 225 papers that have together received 14.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (53 papers), Muscle metabolism and nutrition (50 papers) and Cardiovascular and exercise physiology (47 papers). The work is most often cited by research in Complementary and alternative medicine (1.9k citations), Endocrinology, Diabetes and Metabolism (3.8k citations) and Physiology (5.8k citations). Eugene J. Barrett has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Zhenqi Liu, Stephen Rattigan, Michael G. Clark, R. Gelfand, Michelle A. Vincent, Linda A. Jahn, Jonathan R. Lindner, David A. Fryburg, Lucy H. Clerk and Rita J. Louard. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.
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.