Jeffrey Zimmet
- Genetics top 2%
- Mesenchymal stem cell research 4
- Physiology top 2%
- Hematology top 5%
- Platelet Disorders and Treatments 7
- Biomaterials top 5%
- Nephrology top 5%
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- Cardiac Valve Diseases and Treatments 9
- Acute Myocardial Infarction Research 4
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- Cardiac Imaging and Diagnostics 8
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- Tissue Engineering and Regenerative Medicine 5
- Coronary Interventions and Diagnostics 4
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- Infective Endocarditis Diagnosis and Management 4
- Co-authors
- Katya RavidJoshua M. HareMatthew R. JonesJun LüKarl H. SchuleriCarl W. JacksonAlbert C. LardoAndrew Boyle
- Cited by
- GeneticsPhysiologyHematology
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Jeffrey Zimmet
37 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 104
- Genetics 403
- Physiology 125
- Hematology 236
- Biomaterials 204
- Nephrology 90
Countries citing papers authored by Jeffrey Zimmet
This map shows the geographic impact of Jeffrey Zimmet'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 Jeffrey Zimmet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Zimmet more than expected).
Fields of papers citing papers by Jeffrey Zimmet
This network shows the impact of papers produced by Jeffrey Zimmet. 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 Jeffrey Zimmet. The network helps show where Jeffrey Zimmet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey Zimmet, 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 | 2023 | 0 | |
| 2 | 2021 | 5 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 5 | |
| 5 | 2016 | 13 | |
| 6 | 2015 | 20 | |
| 7 | High femoral artery bifurcation predicts contralateral high bifurcation: implications for complex percutaneous cardiovascular procedures requiring large caliber and/or dual access. | 2014 | 10 |
| 8 | 2011 | 26 | |
| 9 | 2010 | 49 | |
| 10 | 2009 | 17 | |
| 11 | 2008 | 118 | |
| 12 | 2008 | 6 | |
| 13 | 2006 | 8 | |
| 14 | 2001 | 195 | |
| 15 | 2000 | 147 | |
| 16 | 1998 | 18 | |
| 17 | 1996 | 19 | |
| 18 | 1993 | 97 | |
| 19 | 1993 | 28 | |
| 20 | 1987 | 13 |
About Jeffrey Zimmet
Jeffrey Zimmet is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Hematology, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Cardiac Imaging and Diagnostics (8 papers), Platelet Disorders and Treatments (7 papers), Tissue Engineering and Regenerative Medicine (5 papers), Coronary Interventions and Diagnostics (4 papers), Acute Myocardial Infarction Research (4 papers), Mesenchymal stem cell research (4 papers) and Infective Endocarditis Diagnosis and Management (4 papers). The work is most often cited by research in Genetics (403 citations), Physiology (125 citations) and Hematology (236 citations). Jeffrey Zimmet has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Katya Ravid, Joshua M. Hare, Matthew R. Jones, Jun Lü, Karl H. Schuleri, Carl W. Jackson, Albert C. Lardo, Andrew Boyle, Konstantinos E. Hatzistergos and Daniel Ladd. Their work appears in journals such as Circulation, The Journal of Immunology and PLoS ONE.
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.