William H. Gaasch
- Cardiology and Cardiovascular Medicine top 0.02%
- Epidemiology top 0.2%
- Surgery top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Pulmonary and Respiratory Medicine top 0.5%
- Co-authors
- Michael R. ZileGerard P. AurigemmaMichael D. FreedRobert A. O’RourkeBlasé A. CarabelloPravin M. ShahCatherine M OttoBruce W. Lytle
- Topics
- Cardiovascular Function and Risk Factors (116 papers)Cardiac Valve Diseases and Treatments (51 papers)Cardiomyopathy and Myosin Studies (40 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
William H. Gaasch
154 papers receiving 18.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Cardiology and Cardiovascular Medicine 17.6k
- Epidemiology 5.2k
- Surgery 4.4k
- Radiology, Nuclear Medicine and Imaging 4.3k
- Pulmonary and Respiratory Medicine 3.3k
Countries citing papers authored by William H. Gaasch
This map shows the geographic impact of William H. Gaasch'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 William H. Gaasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William H. Gaasch more than expected).
Fields of papers citing papers by William H. Gaasch
This network shows the impact of papers produced by William H. Gaasch. 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 William H. Gaasch. The network helps show where William H. Gaasch may publish in the future.
Co-authorship network of co-authors of William H. Gaasch
This figure shows the co-authorship network connecting the top 25 collaborators of William H. Gaasch. A scholar is included among the top collaborators of William H. Gaasch 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 William H. Gaasch. William H. Gaasch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 9 | |
| 3 | 58 | |
| 4 | 252 | |
| 5 | 9 | |
| 6 | Diastolic Heart Failure — Abnormalities in Active Relaxation and Passive Stiffness of the Left Ventriclebreakdown → | 1128 |
| 7 | 9 | |
| 8 | 19 | |
| 9 | 103 | |
| 10 | 2 | |
| 11 | 312 | |
| 12 | 2 | |
| 13 | 52 | |
| 14 | 50 | |
| 15 | 4 | |
| 16 | 142 | |
| 17 | 68 | |
| 18 | 139 | |
| 19 | 342 | |
| 20 | 10 |
About William H. Gaasch
William H. Gaasch is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine, having authored 154 papers that have together received 19.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (116 papers), Cardiac Valve Diseases and Treatments (51 papers) and Cardiomyopathy and Myosin Studies (40 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (17.6k citations), Radiology, Nuclear Medicine and Imaging (4.3k citations) and Epidemiology (5.2k citations). William H. Gaasch has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael R. Zile, Gerard P. Aurigemma, Michael D. Freed, Robert A. O’Rourke, Blasé A. Carabello, Pravin M. Shah, Catherine M Otto, Bruce W. Lytle, Robert O. Bonow and Kanu Chatterjee. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.