Marmar Vaseghi
- Cardiology and Cardiovascular Medicine top 0.5%
- Surgery top 5%
- Neurology top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Kalyanam ShivkumarAman MahajanOlujimi A. AjijolaNoel G. BoyleKentaro YamakawaJean GimaÉric BuchRoderick Tung
- Topics
- Cardiac Arrhythmias and Treatments (72 papers)Cardiac electrophysiology and arrhythmias (58 papers)Cardiac pacing and defibrillation studies (37 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Marmar Vaseghi
119 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 116
- Cardiology and Cardiovascular Medicine 3.8k
- Surgery 578
- Neurology 414
- Molecular Biology 301
- Radiology, Nuclear Medicine and Imaging 282
Countries citing papers authored by Marmar Vaseghi
This map shows the geographic impact of Marmar Vaseghi'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 Marmar Vaseghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marmar Vaseghi more than expected).
Fields of papers citing papers by Marmar Vaseghi
This network shows the impact of papers produced by Marmar Vaseghi. 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 Marmar Vaseghi. The network helps show where Marmar Vaseghi may publish in the future.
Co-authorship network of co-authors of Marmar Vaseghi
This figure shows the co-authorship network connecting the top 25 collaborators of Marmar Vaseghi. A scholar is included among the top collaborators of Marmar Vaseghi 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 Marmar Vaseghi. Marmar Vaseghi 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 | 0 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 52 | |
| 8 | 33 | |
| 9 | 11 | |
| 10 | Abstract 17355: Myocardial Infarction Causes Both Structural and Functional Remodeling in Cardiac Neurons of the Inferior Vagal (Nodose) Ganglia: Implications for Mechanisms Behind Parasympathetic Withdrawal in Heart Disease | 2 |
| 11 | 1 | |
| 12 | 2 | |
| 13 | Abstract 12627: Myocardial Infarction Alters Neural Processing of Afferent Inputs in the Intrinsic Cardiac Nervous System | 1 |
| 14 | 29 | |
| 15 | 14 | |
| 16 | 241 | |
| 17 | 17 | |
| 18 | 37 | |
| 19 | 277 | |
| 20 | 42 |
About Marmar Vaseghi
Marmar Vaseghi is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Anesthesiology and Pain Medicine, having authored 126 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (72 papers), Cardiac electrophysiology and arrhythmias (58 papers) and Cardiac pacing and defibrillation studies (37 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.8k citations), Neurology (414 citations) and Anesthesiology and Pain Medicine (134 citations). Marmar Vaseghi has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Kalyanam Shivkumar, Aman Mahajan, Olujimi A. Ajijola, Noel G. Boyle, Kentaro Yamakawa, Jean Gima, Éric Buch, Roderick Tung, Jason S. Bradfield and Pradeep S. Rajendran. Their work appears in journals such as Circulation, Nature reviews. Neuroscience 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.