Edward W. Gertz
- Cardiology and Cardiovascular Medicine top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology
- Physiology top 5%
- Surgery top 10%
- Co-authors
- Richard A. NeeseJ A WisneskiWilliam C. StanleyJudith A. WisneskiDavid L. MorrisGeorge A. BrooksF. Norman BriggsManuel Mayr
- Topics
- Cardiac Imaging and Diagnostics (25 papers)Cardiovascular Function and Risk Factors (15 papers)Cardiac electrophysiology and arrhythmias (15 papers)
- Cited by
- Cardiology and Cardiovascular MedicineComplementary and alternative medicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesIndiaPortugal
In The Last Decade
Edward W. Gertz
67 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 114
- Cardiology and Cardiovascular Medicine 1.7k
- Radiology, Nuclear Medicine and Imaging 860
- Molecular Biology 662
- Physiology 514
- Surgery 401
Countries citing papers authored by Edward W. Gertz
This map shows the geographic impact of Edward W. Gertz'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 Edward W. Gertz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward W. Gertz more than expected).
Fields of papers citing papers by Edward W. Gertz
This network shows the impact of papers produced by Edward W. Gertz. 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 Edward W. Gertz. The network helps show where Edward W. Gertz may publish in the future.
Co-authorship network of co-authors of Edward W. Gertz
This figure shows the co-authorship network connecting the top 25 collaborators of Edward W. Gertz. A scholar is included among the top collaborators of Edward W. Gertz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward W. Gertz. Edward W. Gertz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 4 | |
| 3 | 23 | |
| 4 | 87 | |
| 5 | 32 | |
| 6 | 70 | |
| 7 | 14 | |
| 8 | 278 | |
| 9 | 81 | |
| 10 | Tracer measured substrate turnover requires arterial sampling downstream of infusion site | 1 |
| 11 | 14 | |
| 12 | 60 | |
| 13 | 37 | |
| 14 | 20 | |
| 15 | 76 | |
| 16 | 2 | |
| 17 | 26 | |
| 18 | 18 | |
| 19 | 74 | |
| 20 | 71 |
About Edward W. Gertz
Edward W. Gertz is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (25 papers), Cardiovascular Function and Risk Factors (15 papers) and Cardiac electrophysiology and arrhythmias (15 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Complementary and alternative medicine (355 citations) and Radiology, Nuclear Medicine and Imaging (860 citations). Edward W. Gertz has collaborated with scholars based in United States, India and Portugal. Frequent co-authors include Richard A. Neese, J A Wisneski, William C. Stanley, Judith A. Wisneski, David L. Morris, George A. Brooks, F. Norman Briggs, Manuel Mayr, James Bristow and Milton Hollenberg. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Journal of the American College of Cardiology.
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.