Ivan Pacold
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Louise E. AndersonHenry S. LoebMing H. HwangPatrick J. ScanlonRichard CooperEarl S. FordNicholas EmanueleCarlos Abraira
- Topics
- Cardiac Imaging and Diagnostics (7 papers)Cardiovascular Function and Risk Factors (5 papers)Cardiac pacing and defibrillation studies (3 papers)
- Partner nations
- United StatesVietnam
In The Last Decade
Ivan Pacold
22 papers receiving 353 citations
Peers
Comparison fields: 5 of 79
- Cardiology and Cardiovascular Medicine 158
- Molecular Biology 108
- Endocrinology, Diabetes and Metabolism 82
- Surgery 67
- Radiology, Nuclear Medicine and Imaging 58
Countries citing papers authored by Ivan Pacold
This map shows the geographic impact of Ivan Pacold'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 Ivan Pacold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Pacold more than expected).
Fields of papers citing papers by Ivan Pacold
This network shows the impact of papers produced by Ivan Pacold. 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 Ivan Pacold. The network helps show where Ivan Pacold may publish in the future.
Co-authorship network of co-authors of Ivan Pacold
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Pacold. A scholar is included among the top collaborators of Ivan Pacold 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 Ivan Pacold. Ivan Pacold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 23 | |
| 5 | 26 | |
| 6 | 25 | |
| 7 | 26 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 23 | |
| 11 | 3 | |
| 12 | 28 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | Double-blind crossover randomized trial of intravenously administered verapamil. Its use for atrial fibrillation and flutter following open heart surgery. | 12 |
| 16 | 16 | |
| 17 | 2 | |
| 18 | 29 | |
| 19 | 29 | |
| 20 | 40 |
About Ivan Pacold
Ivan Pacold is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 377 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac pacing and defibrillation studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (158 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Nephrology (34 citations). Ivan Pacold has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Louise E. Anderson, Henry S. Loeb, Ming H. Hwang, Patrick J. Scanlon, Richard Cooper, Earl S. Ford, Nicholas Emanuele, Carlos Abraira, John P. Comstock and Frank Q. Nuttall. Their work appears in journals such as Circulation, Diabetes Care and PLANT PHYSIOLOGY.
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.