Antonis A. Armoundas

4.4k total citations · 1 hit paper
126 papers, 3.0k citations indexed

About

Antonis A. Armoundas is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Antonis A. Armoundas has authored 126 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Cardiology and Cardiovascular Medicine, 36 papers in Molecular Biology and 16 papers in Biomedical Engineering. Recurrent topics in Antonis A. Armoundas's work include Cardiac electrophysiology and arrhythmias (67 papers), Cardiac Arrhythmias and Treatments (36 papers) and Ion channel regulation and function (27 papers). Antonis A. Armoundas is often cited by papers focused on Cardiac electrophysiology and arrhythmias (67 papers), Cardiac Arrhythmias and Treatments (36 papers) and Ion channel regulation and function (27 papers). Antonis A. Armoundas collaborates with scholars based in United States, Germany and Japan. Antonis A. Armoundas's co-authors include Gordon F. Tomaselli, Jagmeet P. Singh, Brian O’Rourke, Eric M. Isselbacher, Richard J. Cohen, E. Kevin Heist, Faisal M. Merchant, Raimond L. Winslow, Felix T. Kurz and Miguel A. Aon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Antonis A. Armoundas

118 papers receiving 3.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association

2024 106 citations Antonis A. Armoundas, Jennifer L. Hall et al. Circulation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Antonis A. Armoundas United States	33	2.0k	1.1k	339	282	206	126	3.0k
Jørgen K. Kanters Denmark	35	3.2k 1.6×	1.7k 1.6×	277 0.8×	225 0.8×	133 0.6×	204	4.4k
E. Kevin Heist United States	40	3.7k 1.8×	827 0.8×	265 0.8×	463 1.6×	138 0.7×	191	5.1k
Fu Siong Ng United Kingdom	25	1.5k 0.7×	402 0.4×	177 0.5×	126 0.4×	63 0.3×	168	2.1k
Jonathan R. Silva United States	25	1.2k 0.6×	1.3k 1.2×	319 0.9×	537 1.9×	57 0.3×	75	2.2k
Vadim V. Fedorov United States	38	3.7k 1.8×	1.4k 1.3×	283 0.8×	547 1.9×	130 0.6×	120	4.5k
Gunnar Seemann Germany	28	2.8k 1.4×	827 0.8×	283 0.8×	344 1.2×	41 0.2×	176	3.3k
Lei Cai China	28	444 0.2×	1.9k 1.7×	141 0.4×	85 0.3×	118 0.6×	111	3.4k
Peter Charlton United Kingdom	24	1.5k 0.8×	277 0.3×	1.8k 5.3×	65 0.2×	135 0.7×	89	3.2k
Shien‐Fong Lin United States	46	5.8k 2.9×	2.0k 1.9×	566 1.7×	687 2.4×	177 0.9×	218	7.2k
Jason D. Bayer France	22	1.5k 0.8×	312 0.3×	215 0.6×	207 0.7×	89 0.4×	50	1.9k

Countries citing papers authored by Antonis A. Armoundas

Since Specialization

Citations

This map shows the geographic impact of Antonis A. Armoundas'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 Antonis A. Armoundas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonis A. Armoundas more than expected).

Fields of papers citing papers by Antonis A. Armoundas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonis A. Armoundas. 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 Antonis A. Armoundas. The network helps show where Antonis A. Armoundas may publish in the future.

Co-authorship network of co-authors of Antonis A. Armoundas

This figure shows the co-authorship network connecting the top 25 collaborators of Antonis A. Armoundas. A scholar is included among the top collaborators of Antonis A. Armoundas 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 Antonis A. Armoundas. Antonis A. Armoundas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Bazoukis, George, et al.. (2025). Impact of Social Determinants of Health on Cardiovascular Disease. Journal of the American Heart Association. 14(5). e039031–e039031. 8 indexed citations

2.

Abohashem, Shady, Iqra Qamar, Simran Grewal, et al.. (2025). Depression and Anxiety Associate With Adverse Cardiovascular Events via Neural, Autonomic, and Inflammatory Pathways. Circulation Cardiovascular Imaging. 19(1). e017706–e017706.

3.

Armoundas, Antonis A., Faraz S. Ahmad, Zachi I. Attia, et al.. (2025). Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management. Hypertension. 82(6). 929–944. 5 indexed citations

4.

Armoundas, Antonis A., et al.. (2025). Implications of integrating large language models into clinical decision making. Communications Medicine. 5(1). 490–490. 2 indexed citations

5.

Chahal, C. Anwar A., Fares Alahdab, Babken Asatryan, et al.. (2025). Data Interoperability and Harmonization in Cardiovascular Genomic and Precision Medicine. Circulation Genomic and Precision Medicine. 18(3). e004624–e004624. 4 indexed citations

6.

Bazoukis, George, et al.. (2025). Use of artificial intelligence in predicting in-hospital cardiac and respiratory arrest in an acute care environment—implications for clinical practice. Frontiers in Medical Technology. 7. 1681059–1681059.

7.

Seligowski, Antonia V., Simran Grewal, Shady Abohashem, et al.. (2024). PTSD increases risk for major adverse cardiovascular events through neural and cardio-inflammatory pathways. Brain Behavior and Immunity. 117. 149–154. 8 indexed citations

8.

Bazoukis, George, Khaled Elkholey, Stavros Stavrakis, E. Kevin Heist, & Antonis A. Armoundas. (2024). Efficacy of Commonly Used 3D Mapping Systems in Acute Success Rates of Catheter Ablation Procedures. Heart International. 18(1). 9–25. 1 indexed citations

9.

Kurz, Felix T., Miguel A. Aon, Heinz‐Peter Schlemmer, et al.. (2023). Fractal dynamics of individual mitochondrial oscillators measure local inter-mitochondrial coupling. Biophysical Journal. 122(8). 1459–1469. 1 indexed citations

10.

Bazoukis, George, Stavros Stavrakis, & Antonis A. Armoundas. (2023). Vagus Nerve Stimulation and Inflammation in Cardiovascular Disease: A State‐of‐the‐Art Review. Journal of the American Heart Association. 12(19). e030539–e030539. 42 indexed citations

11.

Kulkarni, Kanchan, Richard D. Walton, Antonis A. Armoundas, & Elena G. Tolkacheva. (2021). Clinical Potential of Beat‐to‐Beat Diastolic Interval Control in Preventing Cardiac Arrhythmias. Journal of the American Heart Association. 10(11). e020750–e020750. 4 indexed citations

12.

Kulkarni, Kanchan, Rahul K. Sevakula, Mohamad Kassab, et al.. (2021). Ambulatory monitoring promises equitable personalized healthcare delivery in underrepresented patients. European Heart Journal - Digital Health. 2(3). 494–510. 7 indexed citations

13.

Kulkarni, Kanchan, Jagmeet P. Singh, Kimberly A. Parks, et al.. (2021). Low‐Level Tragus Stimulation Modulates Atrial Alternans and Fibrillation Burden in Patients With Paroxysmal Atrial Fibrillation. Journal of the American Heart Association. 10(12). e020865–e020865. 26 indexed citations

14.

Bazoukis, George, Stavros Stavrakis, Jiandong Zhou, et al.. (2020). Machine learning versus conventional clinical methods in guiding management of heart failure patients—a systematic review. Heart Failure Reviews. 26(1). 23–34. 60 indexed citations

15.

Irie, Tomoya, Patrick Sips, Shinichi Kai, et al.. (2015). S-Nitrosylation of Calcium-Handling Proteins in Cardiac Adrenergic Signaling and Hypertrophy. Circulation Research. 117(9). 793–803. 58 indexed citations

16.

Merchant, Faisal M., et al.. (2009). Abstract 2877: A Novel Intracardiac Pacing Method to Induce and Suppress Repolarization Alternans. Circulation. 120. 1 indexed citations

17.

Armoundas, Antonis A., et al.. (2004). Utility of Implantable Cardioverter Defibrillator Electrograms to Estimate Repolarization Alternans Preceding a Tachyarrhythmic Event. Journal of Cardiovascular Electrophysiology. 15(5). 594–597. 23 indexed citations

18.

Mazhari, Reza, Hanne Nuss, Antonis A. Armoundas, Raimond L. Winslow, & Eduardo Marbán. (2002). Ectopic expression of KCNE3 accelerates cardiac repolarization and abbreviates the QT interval. Journal of Clinical Investigation. 109(8). 1083–1090. 1 indexed citations

19.

Mazhari, Reza, Hanne Nuss, Antonis A. Armoundas, Raimond L. Winslow, & Eduardo Marbán. (2002). Ectopic expression of KCNE3 accelerates cardiac repolarization and abbreviates the QT interval. Journal of Clinical Investigation. 109(8). 1083–1090. 43 indexed citations

20.

Armoundas, Antonis A., A.B. Feldman, David A. Sherman, & Richard J. Cohen. (2001). Applicability of the single equivalent point dipole model to represent a spatially distributed bio-electrical source. Medical & Biological Engineering & Computing. 39(5). 562–570. 13 indexed citations

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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