Daniel Pipilas

657 total citations
13 papers, 187 citations indexed

About

Daniel Pipilas is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pharmacology. According to data from OpenAlex, Daniel Pipilas has authored 13 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 1 paper in Molecular Biology and 1 paper in Pharmacology. Recurrent topics in Daniel Pipilas's work include ECG Monitoring and Analysis (6 papers), Cardiac Arrhythmias and Treatments (4 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Daniel Pipilas is often cited by papers focused on ECG Monitoring and Analysis (6 papers), Cardiac Arrhythmias and Treatments (4 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Daniel Pipilas collaborates with scholars based in United States, Germany and Finland. Daniel Pipilas's co-authors include Mattheus Ramsis, Arman Qamar, David Biery, Sanjay Divakaran, Ersilia M. DeFilippis, Amber Fatima, James L. Januzzi, Jon Hainer, Ron Blankstein and Khurram Nasir and has published in prestigious journals such as Blood, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Daniel Pipilas

12 papers receiving 184 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Pipilas United States 5 113 48 46 22 21 13 187
Francesco Maranta Italy 9 108 1.0× 16 0.3× 48 1.0× 39 1.8× 19 0.9× 26 228
Joshua A. Cohen United States 8 132 1.2× 11 0.2× 29 0.6× 37 1.7× 23 1.1× 22 201
CHRISTIN L. HERTZ Denmark 9 119 1.1× 37 0.8× 149 3.2× 38 1.7× 19 0.9× 17 321
Miyuki Yokota Japan 9 47 0.4× 21 0.4× 11 0.2× 103 4.7× 17 0.8× 31 196
James J. Kmetzo United States 7 164 1.5× 9 0.2× 27 0.6× 21 1.0× 10 0.5× 11 200
Varnavas Varnavas Belgium 11 229 2.0× 7 0.1× 22 0.5× 35 1.6× 13 0.6× 32 286
T Moccetti Switzerland 7 87 0.8× 13 0.3× 10 0.2× 45 2.0× 13 0.6× 23 162
Peter Marstrand Denmark 6 217 1.9× 14 0.3× 49 1.1× 33 1.5× 34 1.6× 13 255
Robert Betzu United States 4 70 0.6× 11 0.2× 11 0.2× 20 0.9× 8 0.4× 12 115
Vincenzo Coto Italy 7 46 0.4× 18 0.4× 19 0.4× 33 1.5× 8 0.4× 12 98

Countries citing papers authored by Daniel Pipilas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pipilas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Pipilas. 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 Daniel Pipilas. The network helps show where Daniel Pipilas may publish in the future.

Co-authorship network of co-authors of Daniel Pipilas

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

All Works

13 of 13 papers shown
1.
Kany, Shinwan, Sam Friedman, Mostafa A. Al‐Alusi, et al.. (2025). Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease. JACC Advances. 4(9). 102041–102041. 1 indexed citations
2.
Qin, Dingxin, Rahul Sakhuja, Daniel Pipilas, et al.. (2025). Complex Lead Extraction Facilitated by Intravascular Lithotripsy. JACC Case Reports. 30(18). 104021–104021.
3.
Al‐Alusi, Mostafa A., Sam Friedman, Joel Rämö, et al.. (2025). A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram. npj Digital Medicine. 8(1). 120–120. 3 indexed citations
4.
Kany, Shinwan, Sam Friedman, Mostafa A. Al‐Alusi, et al.. (2024). Electrocardiogram-based artificial intelligence to identify prevalent coronary artery disease. European Heart Journal. 45(Supplement_1). 1 indexed citations
5.
Pipilas, Daniel, Shaan Khurshid, Mostafa A. Al‐Alusi, et al.. (2024). Automated interpretations of single-lead electrocardiograms predict incident atrial fibrillation: The VITAL-AF trial. Heart Rhythm. 21(9). 1640–1646. 1 indexed citations
6.
Pipilas, Daniel, Shaan Khurshid, Steven J. Atlas, et al.. (2023). Accuracy and variability of cardiologist interpretation of single lead electrocardiograms for atrial fibrillation: The VITAL-AF trial. American Heart Journal. 265. 92–103. 3 indexed citations
7.
Pipilas, Daniel, Sam Friedman, & Shaan Khurshid. (2023). The Use of Artificial Intelligence to Predict the Development of Atrial Fibrillation. Current Cardiology Reports. 25(5). 381–389. 8 indexed citations
8.
Pipilas, Daniel, Alan Hanley, Jagmeet P. Singh, & Theofanie Mela. (2023). Cardiac Contractility Modulation for Heart Failure: Current and Future Directions. Journal of the Society for Cardiovascular Angiography & Interventions. 2(6). 101176–101176. 6 indexed citations
9.
Singh, Avinainder, Bradley Collins, David Biery, et al.. (2018). PREVALENCE OF SUBSTANCE ABUSE AMONG YOUNG ADULTS WITH MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 71(11). A178–A178. 3 indexed citations
10.
11.
DeFilippis, Ersilia M., Avinainder Singh, Sanjay Divakaran, et al.. (2018). Cocaine and Marijuana Use Among Young Adults With Myocardial Infarction. Journal of the American College of Cardiology. 71(22). 2540–2551. 110 indexed citations
12.
Pipilas, Daniel, Christopher N. Johnson, Gregory Webster, et al.. (2016). Novel calmodulin mutations associated with congenital long QT syndrome affect calcium current in human cardiomyocytes. Heart Rhythm. 13(10). 2012–2019. 43 indexed citations
13.
Shoemaker, M. Benjamin, Daniel Pipilas, Robyn A. Tamboli, et al.. (2013). Prevalence and Predictors of Atrial Fibrillation Among Patients Undergoing Bariatric Surgery. Obesity Surgery. 24(4). 611–616. 7 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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