Jonathan Buchanan
Impact in
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- Cardiovascular Function and Risk Factors
- Cardiovascular Disease and Adiposity
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
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- Metabolism, Diabetes, and Cancer 4
- Mitochondrial Function and Pathology 2
- Ion Transport and Channel Regulation 1
-
- Cardiovascular Function and Risk Factors 5
- Co-authors
- E. Dale Abel (10 shared papers)Robert C. Cooksey (4 shared papers)Ui Jeong Yun (2 shared papers)Sihem Boudina (3 shared papers)Sheldon E. Litwin (3 shared papers)Brian T. O’Neill (2 shared papers)Ping Hu (1 shared paper)Tae‐Sik Park (2 shared papers)
- Journals
- Endocrinology (2 papers)Journal of Lipid Research (1 paper)Experimental Gerontology (1 paper)Cell Metabolism (1 paper)Cardiovascular Research (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Jonathan Buchanan
11 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 903
- Physiology 549
- Biochemistry 116
- Endocrinology, Diabetes and Metabolism 181
- Molecular Biology 799
Countries citing papers authored by Jonathan Buchanan
This map shows the geographic impact of Jonathan Buchanan'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 Jonathan Buchanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Buchanan more than expected).
Fields of papers citing papers by Jonathan Buchanan
This network shows the impact of papers produced by Jonathan Buchanan. 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 Jonathan Buchanan. The network helps show where Jonathan Buchanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Buchanan, 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 | 2005 | 456 | |
| 2 | 2004 | 363 | |
| 3 | 2008 | 341 | |
| 4 | 2009 | 147 | |
| 5 | 2011 | 121 | |
| 6 | 2007 | 115 | |
| 7 | 2006 | 102 | |
| 8 | 2008 | 39 | |
| 9 | 1996 | 32 | |
| 10 | 2008 | 21 | |
| 11 | 2008 | 18 |
About Jonathan Buchanan
Jonathan Buchanan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Cell Biology and Surgery, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Adipose Tissue and Metabolism (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Caveolin-1 and cellular processes (2 papers), Mitochondrial Function and Pathology (2 papers), Lipid metabolism and biosynthesis (1 paper), Regulation of Appetite and Obesity (1 paper) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (903 citations), Physiology (549 citations), Biochemistry (116 citations), Endocrinology, Diabetes and Metabolism (181 citations) and Molecular Biology (799 citations). Jonathan Buchanan has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include E. Dale Abel, Robert C. Cooksey, Ui Jeong Yun, Sihem Boudina, Sheldon E. Litwin, Brian T. O’Neill, Ping Hu, Tae‐Sik Park, Shunichi Homma and Ira J. Goldberg. Their work appears in journals such as Endocrinology, Journal of Lipid Research, Experimental Gerontology, Cell Metabolism and Cardiovascular Research.
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.