Gary Sweeney
- Endocrine and Autonomic Systems top 0.5%
- Regulation of Appetite and Obesity 30
- Physiology top 0.2%
- Adipose Tissue and Metabolism 67
- Epidemiology top 0.5%
- Adipokines, Inflammation, and Metabolic Diseases 78
- Autophagy in Disease and Therapy 19
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- Cardiac Fibrosis and Remodeling 11
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- Metabolism, Diabetes, and Cancer 30
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- Exercise and Physiological Responses 13
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- Pancreatic function and diabetes 11
Gary Sweeney
175 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Endocrine and Autonomic Systems 1.4k
- Physiology 3.8k
- Epidemiology 3.5k
- Cardiology and Cardiovascular Medicine 1.7k
- Endocrinology, Diabetes and Metabolism 987
Countries citing papers authored by Gary Sweeney
This map shows the geographic impact of Gary Sweeney'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 Gary Sweeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Sweeney more than expected).
Fields of papers citing papers by Gary Sweeney
This network shows the impact of papers produced by Gary Sweeney. 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 Gary Sweeney. The network helps show where Gary Sweeney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary Sweeney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 25 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 51 | |
| 11 | 2019 | 54 | |
| 12 | Lipocalin-2 induces NLRP3 inflammasome activation via HMGB1 induced TLR4 signaling in heart tissue of mice under pressure overload challenge. | 2017 | 45 |
| 13 | 2010 | 187 | |
| 14 | 2009 | 112 | |
| 15 | 2008 | 68 | |
| 16 | 2007 | 2 | |
| 17 | 2007 | 47 | |
| 18 | 2006 | 57 | |
| 19 | 2005 | 98 | |
| 20 | 2000 | 20 |
About Gary Sweeney
Gary Sweeney is a scholar working on Endocrine and Autonomic Systems, Physiology, Epidemiology, Rehabilitation and Physiology, having authored 180 papers that have together received 9.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (78 papers), Adipose Tissue and Metabolism (67 papers), Metabolism, Diabetes, and Cancer (30 papers), Regulation of Appetite and Obesity (30 papers), Autophagy in Disease and Therapy (19 papers), Exercise and Physiological Responses (13 papers), Cardiac Fibrosis and Remodeling (11 papers) and Pancreatic function and diabetes (11 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.4k citations), Physiology (3.8k citations), Epidemiology (3.5k citations), Cardiology and Cardiovascular Medicine (1.7k citations) and Endocrinology, Diabetes and Metabolism (987 citations). Gary Sweeney has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Amira Klip, Aimin Xu, Romel Somwar, Ying Liu, E. Dale Abel, Sheldon E. Litwin, Rolando B. Ceddia, Yu Wang, Toolsie Ramlal and Rengasamy Palanivel. Their work appears in journals such as Diabetes, Endocrinology, American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry and Journal of Cellular Physiology.
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.