Jonathan Buchanan
Impact in
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- Cardiovascular Function and Risk Factors
- Cardiac Fibrosis and Remodeling
- Lipid metabolism and disorders
- Cardiac electrophysiology and arrhythmias
- Molecular Biology top 10%
- Mitochondrial Function and Pathology
- Sphingolipid Metabolism and Signaling
- Peroxisome Proliferator-Activated Receptors
Papers in
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- Cardiovascular Function and Risk Factors 3
- Renin-Angiotensin System Studies 1
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- Caveolin-1 and cellular processes 2
- Co-authors
- E. Dale Abel (10 shared papers)Robert C. Cooksey (4 shared papers)Ui Jeong Yun (2 shared papers)Pradip Kumar Mazumder (2 shared papers)Sihem Boudina (3 shared papers)Sheldon E. Litwin (3 shared papers)Brian Timothy O'Neill (2 shared papers)Gopa Chakrabarti (1 shared paper)
- Journals
- Endocrinology (2 papers)Molecular and Cellular Biology (1 paper)Cell Metabolism (1 paper)Journal of Lipid Research (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Jonathan Buchanan
12 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 44
- Cardiology and Cardiovascular Medicine 587
- Molecular Biology 371
- Biochemistry 22
- Geriatrics and Gerontology 13
- Pathology and Forensic Medicine 51
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 | 462 | |
| 2 | 2004 | 372 | |
| 3 | 2008 | 361 | |
| 4 | 2009 | 152 | |
| 5 | 2011 | 131 | |
| 6 | 2007 | 118 | |
| 7 | 2006 | 108 | |
| 8 | 2014 | 80 | |
| 9 | 2008 | 40 | |
| 10 | 1996 | 31 | |
| 11 | 2008 | 21 | |
| 12 | 2008 | 19 |
About Jonathan Buchanan
Jonathan Buchanan is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology, Hematology, Molecular Biology and Nuclear Energy and Engineering, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (3 papers), Caveolin-1 and cellular processes (2 papers), Hematopoietic Stem Cell Transplantation (1 paper), Renin-Angiotensin System Studies (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (587 citations), Molecular Biology (371 citations), Biochemistry (22 citations), Geriatrics and Gerontology (13 citations) and Pathology and Forensic Medicine (51 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, Pradip Kumar Mazumder, Sihem Boudina, Sheldon E. Litwin, Brian Timothy O'Neill, Gopa Chakrabarti, Hye Lim Noh and Ira J. Goldberg. Their work appears in journals such as Endocrinology, Molecular and Cellular Biology, Cell Metabolism, Journal of Lipid Research and Diabetes.
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.