Carly Jenkins
About
In The Last Decade
Carly Jenkins
71 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 102
- Cardiology and Cardiovascular Medicine 2.9k
- Radiology, Nuclear Medicine and Imaging 1.7k
- Surgery 507
- Pulmonary and Respiratory Medicine 429
- Epidemiology 424
Countries citing papers authored by Carly Jenkins
This map shows the geographic impact of Carly Jenkins'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 Carly Jenkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carly Jenkins more than expected).
Fields of papers citing papers by Carly Jenkins
This network shows the impact of papers produced by Carly Jenkins. 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 Carly Jenkins. The network helps show where Carly Jenkins may publish in the future.
Co-authorship network of co-authors of Carly Jenkins
This figure shows the co-authorship network connecting the top 25 collaborators of Carly Jenkins. A scholar is included among the top collaborators of Carly Jenkins 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 Carly Jenkins. Carly Jenkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 29 | |
| 4 | 21 | |
| 5 | Real-Time 3D echocardiographic quantification of left atrial volume: Multicenter study for validation with magnetic resonance imaging | 5 |
| 6 | What is the best predictor of outcome: ejection fraction or global strain? | 1 |
| 7 | Reduced exercise capacity in type 2 diabetes: Left ventricular dysfunction or impaired skeletal muscle perfusion? | 2 |
| 8 | 92 | |
| 9 | Reduced pressure-volume response to exercise may reflect subclinical myocardial disease in type 2 diabetes | 2 |
| 10 | 186 | |
| 11 | 271 | |
| 12 | 6 | |
| 13 | Reproducibility of right ventricular volumes and ejection fraction using real-time 3D echo; comparison with cardiac MRI | 1 |
| 14 | 162 | |
| 15 | 129 | |
| 16 | Serial follow-up of left ventricular parameters using real-time 3D echo is comparable to magnetic resonance imaging and superior to 2D echo | 2 |
| 17 | Myocardial blood flow and red cell velocity are clinically feasible markers for quantitative myocardial contrast stress echocardiography | 1 |
| 18 | What is the relationship between flow and function in diabetic cardiomyopathy? A quantitative study using contrast echo and strain rate imaging | 9 |
| 19 | Real-time 3D echo increases feasibility of sequential echo follow-up in the real world - Reduction of test-retest variation of LV parameters | 4 |
| 20 | 5 |
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.