Marmar Vaseghi

8.4k citations
126 papers · 4.3k indexed · h-index 36

Marmar Vaseghi

119 papers receiving 4.2k citations

Peers

Marmar Vaseghi
Comparison fields: 5 of 116
  • Cardiology and Cardiovascular Medicine 3.8k
  • Neurology 414
  • Anesthesiology and Pain Medicine 134
  • Surgery 578
  • Radiology, Nuclear Medicine and Imaging 282
Replace G. Burkhard Mackensen with:
G. Burkhard Mackensen United States
Hiromi Fujii Japan
Masood Akhtar United States
Takahide Arai Japan
Heinz Theres Germany
Victor Cheng United States
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K. D. Wernecke Germany
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Citations per year

Countries citing papers authored by Marmar Vaseghi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Marmar Vaseghi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marmar Vaseghi Line = papers co-authored together Marmar Vaseghi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20245
4 20246
5 20242
6 20226
7 202152
8 201933
9 201811
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
20172
11 20161
12 20162
13
Abstract 12627: Myocardial Infarction Alters Neural Processing of Afferent Inputs in the Intrinsic Cardiac Nervous System
20141
14 201429
15 201214
16 2010241
17 201017
18 200937
19 2008277
20 200742

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), Cardiac pacing and defibrillation studies (37 papers), Atrial Fibrillation Management and Outcomes (31 papers), Heart Rate Variability and Autonomic Control (31 papers), Vagus Nerve Stimulation Research (11 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiovascular Syncope and Autonomic Disorders (8 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.

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