Dan L. Musat
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Immunology top 10%
- Surgery
- Epidemiology
- Co-authors
- Suneet MittalTina SichrovskyMark W. PremingerAysha ArshadJonathan S. SteinbergIneke van der BurgtBruce D. GelbHan G. Brunner
- Topics
- Cardiac Arrhythmias and Treatments (23 papers)Atrial Fibrillation Management and Outcomes (18 papers)Cardiac electrophysiology and arrhythmias (15 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaEuropean Heart Journal
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Dan L. Musat
36 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Cardiology and Cardiovascular Medicine 897
- Molecular Biology 489
- Immunology 327
- Surgery 194
- Epidemiology 135
Countries citing papers authored by Dan L. Musat
This map shows the geographic impact of Dan L. Musat'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 Dan L. Musat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan L. Musat more than expected).
Fields of papers citing papers by Dan L. Musat
This network shows the impact of papers produced by Dan L. Musat. 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 Dan L. Musat. The network helps show where Dan L. Musat may publish in the future.
Co-authorship network of co-authors of Dan L. Musat
This figure shows the co-authorship network connecting the top 25 collaborators of Dan L. Musat. A scholar is included among the top collaborators of Dan L. Musat 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 Dan L. Musat. Dan L. Musat 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 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 7 | |
| 7 | 93 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 51 | |
| 12 | 32 | |
| 13 | 17 | |
| 14 | 57 | |
| 15 | 1 | |
| 16 | 113 | |
| 17 | 39 | |
| 18 | 7 | |
| 19 | 23 | |
| 20 | PTPN11 Mutations in Noonan Syndrome: Molecular Spectrum, Genotype-Phenotype Correlation, and Phenotypic Heterogeneitybreakdown → | 522 |
About Dan L. Musat
Dan L. Musat is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Electrochemistry, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (23 papers), Atrial Fibrillation Management and Outcomes (18 papers) and Cardiac electrophysiology and arrhythmias (15 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (897 citations), Immunology (327 citations) and Geriatrics and Gerontology (37 citations). Dan L. Musat has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Suneet Mittal, Tina Sichrovsky, Mark W. Preminger, Aysha Arshad, Jonathan S. Steinberg, Ineke van der Burgt, Bruce D. Gelb, Han G. Brunner, Xiaoling Song and Andrew H. Crosby. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and European Heart Journal.
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.