Jeffrey G. Gaca
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 2%
- Pulmonary and Respiratory Medicine top 2%
- Epidemiology top 5%
- Infectious Diseases top 10%
- Co-authors
- G. Chad HughesAndrew WangVivian H. ChuAsvin M. GanapathiNicholas D. AndersenJennifer M. HannaDonald D. GlowerJudson B. Williams
- Topics
- Cardiac Valve Diseases and Treatments (47 papers)Aortic Disease and Treatment Approaches (29 papers)Infective Endocarditis Diagnosis and Management (24 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCritical Care and Intensive Care MedicinePulmonary and Respiratory Medicine
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Jeffrey G. Gaca
94 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cardiology and Cardiovascular Medicine 1.4k
- Surgery 1.1k
- Pulmonary and Respiratory Medicine 870
- Epidemiology 666
- Infectious Diseases 198
Countries citing papers authored by Jeffrey G. Gaca
This map shows the geographic impact of Jeffrey G. Gaca'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 G. Gaca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey G. Gaca more than expected).
Fields of papers citing papers by Jeffrey G. Gaca
This network shows the impact of papers produced by Jeffrey G. Gaca. 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 G. Gaca. The network helps show where Jeffrey G. Gaca may publish in the future.
Co-authorship network of co-authors of Jeffrey G. Gaca
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey G. Gaca. A scholar is included among the top collaborators of Jeffrey G. Gaca 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 Jeffrey G. Gaca. Jeffrey G. Gaca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 29 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 32 | |
| 10 | Use of Adjuncts Reduces Cardiopulmonary Bypass Time During Minimally Invasive Aortic Valve Replacement. | 5 |
| 11 | 19 | |
| 12 | 1 | |
| 13 | 141 | |
| 14 | 20 | |
| 15 | 4 | |
| 16 | 35 | |
| 17 | 43 | |
| 18 | 77 | |
| 19 | 26 | |
| 20 | 10 |
About Jeffrey G. Gaca
Jeffrey G. Gaca is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine and Surgery, having authored 103 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (47 papers), Aortic Disease and Treatment Approaches (29 papers) and Infective Endocarditis Diagnosis and Management (24 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Critical Care and Intensive Care Medicine (143 citations) and Pulmonary and Respiratory Medicine (870 citations). Jeffrey G. Gaca has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include G. Chad Hughes, Andrew Wang, Vivian H. Chu, Asvin M. Ganapathi, Nicholas D. Andersen, Jennifer M. Hanna, Donald D. Glower, Judson B. Williams, Peter K. Smith and James S. Gammie. Their work appears in journals such as JAMA, Circulation 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.