Samuel Meerbaum
- Cardiology and Cardiovascular Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Biomedical Engineering top 2%
- Surgery top 5%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Eliot CordayMichael C. FishbeinH.L. WyattMing K. HengJ MercierKatsuo KanmatsuseWilliam GanzRoberto V. Haendchen
- Topics
- Cardiac Imaging and Diagnostics (69 papers)Cardiovascular Function and Risk Factors (31 papers)Cardiac electrophysiology and arrhythmias (24 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingPathology and Forensic Medicine
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Samuel Meerbaum
109 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cardiology and Cardiovascular Medicine 3.1k
- Radiology, Nuclear Medicine and Imaging 2.3k
- Biomedical Engineering 1.1k
- Surgery 1.1k
- Pathology and Forensic Medicine 947
Countries citing papers authored by Samuel Meerbaum
This map shows the geographic impact of Samuel Meerbaum'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 Samuel Meerbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Meerbaum more than expected).
Fields of papers citing papers by Samuel Meerbaum
This network shows the impact of papers produced by Samuel Meerbaum. 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 Samuel Meerbaum. The network helps show where Samuel Meerbaum may publish in the future.
Co-authorship network of co-authors of Samuel Meerbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Meerbaum. A scholar is included among the top collaborators of Samuel Meerbaum 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 Samuel Meerbaum. Samuel Meerbaum 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 | 33 | |
| 3 | 69 | |
| 4 | 41 | |
| 5 | 32 | |
| 6 | 33 | |
| 7 | 37 | |
| 8 | 56 | |
| 9 | 24 | |
| 10 | 40 | |
| 11 | 63 | |
| 12 | 25 | |
| 13 | 130 | |
| 14 | 13 | |
| 15 | 2 | |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | 44 | |
| 20 | Noninvasive 2 dimensional echo cardiography in dogs quantitative analysis of the left ventricle | 1 |
About Samuel Meerbaum
Samuel Meerbaum is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 111 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (69 papers), Cardiovascular Function and Risk Factors (31 papers) and Cardiac electrophysiology and arrhythmias (24 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.1k citations), Radiology, Nuclear Medicine and Imaging (2.3k citations) and Pathology and Forensic Medicine (947 citations). Samuel Meerbaum has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Eliot Corday, Michael C. Fishbein, H.L. Wyatt, Ming K. Heng, J Mercier, Katsuo Kanmatsuse, William Ganz, Roberto V. Haendchen, Pascal Guéret and Pravin M. Shah. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.
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.