Daniel W. Mudrick
Impact in
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- Cardiac Valve Diseases and Treatments
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
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- Cardiac Imaging and Diagnostics 6
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- Acute Myocardial Infarction Research 3
- Cardiovascular Effects of Exercise 1
- Co-authors
- Pamela S. Douglas (7 shared papers)Nazareno Paolocci (1 shared paper)Garrick C. Stewart (1 shared paper)Michel Skaf (1 shared paper)David A. Kass (1 shared paper)Joshua M. Hare (1 shared paper)Joshua Zeichner (1 shared paper)Eduardo Marbán (1 shared paper)
- Journals
- American Heart Journal (4 papers)Journal of the American College of Cardiology (2 papers)The American Journal of Cardiology (1 paper)JACC. Cardiovascular imaging (1 paper)Circulation Cardiovascular Imaging (1 paper)
- Partner nations
- United StatesSouth AfricaBrazil
In The Last Decade
Daniel W. Mudrick
15 papers receiving 615 citations
Peers
Comparison fields: 5 of 63
- Cardiology and Cardiovascular Medicine 183
- Nephrology 50
- Epidemiology 216
- Radiology, Nuclear Medicine and Imaging 138
- Surgery 118
Countries citing papers authored by Daniel W. Mudrick
This map shows the geographic impact of Daniel W. Mudrick'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 Daniel W. Mudrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Mudrick more than expected).
Fields of papers citing papers by Daniel W. Mudrick
This network shows the impact of papers produced by Daniel W. Mudrick. 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 Daniel W. Mudrick. The network helps show where Daniel W. Mudrick may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Mudrick, 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 | 2014 | 192 | |
| 2 | 2002 | 171 | |
| 3 | 2014 | 105 | |
| 4 | 2012 | 34 | |
| 5 | 2004 | 32 | |
| 6 | 2003 | 29 | |
| 7 | 2013 | 18 | |
| 8 | 2012 | 13 | |
| 9 | 2012 | 11 | |
| 10 | 2010 | 10 | |
| 11 | 2010 | 8 | |
| 12 | 2010 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2012 | 4 | |
| 15 | 2013 | 3 |
About Daniel W. Mudrick
Daniel W. Mudrick is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Surgery, Biomedical Engineering and Epidemiology, having authored 15 papers that have together received 640 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Acute Myocardial Infarction Research (3 papers), Advanced X-ray and CT Imaging (2 papers), Coronary Interventions and Diagnostics (2 papers), Cardiovascular Effects of Exercise (1 paper), Vaccine Coverage and Hesitancy (1 paper), Ion channel regulation and function (1 paper) and Renal and Vascular Pathologies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (183 citations), Nephrology (50 citations), Epidemiology (216 citations), Radiology, Nuclear Medicine and Imaging (138 citations) and Surgery (118 citations). Daniel W. Mudrick has collaborated with scholars based in United States, South Africa and Brazil. Frequent co-authors include Pamela S. Douglas, Nazareno Paolocci, Garrick C. Stewart, Michel Skaf, David A. Kass, Joshua M. Hare, Joshua Zeichner, Eduardo Marbán, Robert W. Harrison and Manesh R. Patel. Their work appears in journals such as American Heart Journal, Journal of the American College of Cardiology, The American Journal of Cardiology, JACC. Cardiovascular imaging and Circulation Cardiovascular Imaging.
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.