Catherine A. Reardon
- Immunology top 1%
- Atherosclerosis and Cardiovascular Diseases 36
- Physiology top 1%
- Alzheimer's disease research and treatments 14
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- Diabetes, Cardiovascular Risks, and Lipoproteins 19
- Surgery top 1%
- Cholesterol and Lipid Metabolism 35
- Lipoproteins and Cardiovascular Health 21
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 12
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- Peroxisome Proliferator-Activated Receptors 28
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- Adipokines, Inflammation, and Metabolic Diseases 27
- Co-authors
- Godfrey S. GetzPaul A. VanderLaanMary Jo LaDuJohn R. LukensVeneracion G. CabanaJohn M. TaylorT MazzoneTimothy J. Sontag
- Partner nations
- United StatesChinaAustria
In The Last Decade
Catherine A. Reardon
130 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 2.0k
- Physiology 1.9k
- Endocrinology, Diabetes and Metabolism 903
- Surgery 2.1k
- Cancer Research 689
Countries citing papers authored by Catherine A. Reardon
This map shows the geographic impact of Catherine A. Reardon'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 Catherine A. Reardon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine A. Reardon more than expected).
Fields of papers citing papers by Catherine A. Reardon
This network shows the impact of papers produced by Catherine A. Reardon. 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 Catherine A. Reardon. The network helps show where Catherine A. Reardon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Catherine A. Reardon, 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 | 2021 | 83 | |
| 2 | 2018 | 71 | |
| 3 | 2017 | 36 | |
| 4 | 2017 | 76 | |
| 5 | 2016 | 15 | |
| 6 | 2016 | 61 | |
| 7 | 2014 | 1 | |
| 8 | 2013 | 9 | |
| 9 | 2011 | 28 | |
| 10 | 2011 | 91 | |
| 11 | 2010 | 28 | |
| 12 | 2008 | 58 | |
| 13 | 2008 | 55 | |
| 14 | 2008 | 52 | |
| 15 | 2007 | 1 | |
| 16 | Novel proteasome inhibitors show potent anti-tumor efficacy | 2004 | 1 |
| 17 | 2003 | 18 | |
| 18 | 2001 | 61 | |
| 19 | 1995 | 4 | |
| 20 | 1994 | 9 |
About Catherine A. Reardon
Catherine A. Reardon is a scholar working on Immunology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 132 papers that have together received 7.7k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (36 papers), Cholesterol and Lipid Metabolism (35 papers), Peroxisome Proliferator-Activated Receptors (28 papers), Adipokines, Inflammation, and Metabolic Diseases (27 papers), Lipoproteins and Cardiovascular Health (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Alzheimer's disease research and treatments (14 papers) and Cancer, Lipids, and Metabolism (12 papers). The work is most often cited by research in Immunology (2.0k citations), Physiology (1.9k citations) and Endocrinology, Diabetes and Metabolism (903 citations). Catherine A. Reardon has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Godfrey S. Getz, Paul A. VanderLaan, Mary Jo LaDu, John R. Lukens, Veneracion G. Cabana, John M. Taylor, T Mazzone, Timothy J. Sontag, Geoffrey D. Wool and Linda J. Van Eldik. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.