Daniel David

1.7k total citations
48 papers, 1.1k citations indexed

About

Daniel David is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Daniel David has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cardiology and Cardiovascular Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Daniel David's work include Cardiac electrophysiology and arrhythmias (18 papers), Cardiac Arrhythmias and Treatments (14 papers) and Cardiac Imaging and Diagnostics (11 papers). Daniel David is often cited by papers focused on Cardiac electrophysiology and arrhythmias (18 papers), Cardiac Arrhythmias and Treatments (14 papers) and Cardiac Imaging and Diagnostics (11 papers). Daniel David collaborates with scholars based in United States, Israel and South Africa. Daniel David's co-authors include Masahito Naito, Eric L. Michelson, Leonard S. Dreifus, Roberto M. Lang, Herman O. Klein, Elieser Kaplinsky, Chin C. Chen, Joel Morganroth, Elio Di Segni and Henry S. Sawin and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and The American Journal of Cardiology.

In The Last Decade

Daniel David

46 papers receiving 1.0k 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 David United States 18 854 207 119 108 92 48 1.1k
Munther K. Homoud United States 18 896 1.0× 51 0.2× 232 1.9× 25 0.2× 232 2.5× 79 1.3k
Miguel Quintana Sweden 18 710 0.8× 307 1.5× 80 0.7× 7 0.1× 44 0.5× 49 996
Ian S. deSouza United States 12 263 0.3× 75 0.4× 138 1.2× 32 0.3× 99 1.1× 29 538
Sandra E. Conradi United States 13 252 0.3× 84 0.4× 64 0.5× 13 0.1× 98 1.1× 21 610
Sungsoo Cho South Korea 12 169 0.2× 42 0.2× 145 1.2× 14 0.1× 35 0.4× 40 698
Jun Fujii Japan 15 713 0.8× 81 0.4× 128 1.1× 50 0.5× 5 0.1× 100 1.2k
B. Bui‐Xuan France 16 413 0.5× 60 0.3× 97 0.8× 8 0.1× 62 0.7× 61 747
Yong Hwan Kim South Korea 15 77 0.1× 37 0.2× 120 1.0× 109 1.0× 326 3.5× 73 639
Ahmed Khattab United Kingdom 10 218 0.3× 123 0.6× 54 0.5× 21 0.2× 38 0.4× 42 366
Kevin S. Merigian United States 13 36 0.0× 104 0.5× 126 1.1× 44 0.4× 289 3.1× 22 605

Countries citing papers authored by Daniel David

Since Specialization
Citations

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

Fields of papers citing papers by Daniel David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel David

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

All Works

20 of 20 papers shown
1.
David, Daniel, Paul Baxter, Erik Billing, et al.. (2025). Efficacy and effectiveness of robot-assisted therapy for autism spectrum disorder: From lab to reality. Science Robotics. 10(109). eadl2266–eadl2266.
2.
David, Daniel, et al.. (2024). The use of artificial intelligence based chat bots in ophthalmology triage. Eye. 39(4). 785–789. 1 indexed citations
3.
Ginzburg, Karni, Ilan Kutz, Bella Koifman, et al.. (2015). Acute Stress Disorder Symptoms Predict All-Cause Mortality Among Myocardial Infarction Patients: a 15-Year Longitudinal Study. Annals of Behavioral Medicine. 50(2). 177–186. 16 indexed citations
4.
Neuman, Yoram, et al.. (2007). Pulmonary artery pressure and diastolic dysfunction in normal left ventricular systolic function. International Journal of Cardiology. 127(2). 174–178. 30 indexed citations
5.
Leibowitz, Morton, et al.. (2004). Coronary Risk Factor Management in the Framework of a Community Hospital‐Based Ambulatory Exercise Training Program. Preventive Cardiology. 7(2). 59–63. 3 indexed citations
6.
Segev, Amit, Martin Ellis, Fani Segev, et al.. (2004). High prevalence of thrombophilia among young patients with myocardial infarction and few conventional risk factors. International Journal of Cardiology. 98(3). 421–424. 43 indexed citations
7.
Ginzburg, Karni, Zahava Solomon, Bella Koifman, et al.. (2003). Trajectories of Posttraumatic Stress Disorder Following Myocardial Infarction. The Journal of Clinical Psychiatry. 64(10). 1217–1223. 76 indexed citations
8.
Klein, Herman O. & Daniel David. (1998). New Q waves do not always a new infarct spell: right bundle branch block-dependent Q waves simulating infarct extension. Coronary Artery Disease. 9(1). 51–54. 4 indexed citations
9.
10.
11.
Tzivoni, Dan, Aharon Medina, Daniel David, et al.. (1996). Comparison between metoprolol orally osmotic once daily and metoprolol two or three times daily in suppressing exercise-induced and daily myocardial ischemia. The American Journal of Cardiology. 78(12). 1362–1368. 5 indexed citations
12.
Mor‐Avi, Victor, et al.. (1993). Myocardial regional blood flow: Quantitative measurement by computer analysis of contrast enhanced echocardiographic images. Ultrasound in Medicine & Biology. 19(8). 619–633. 25 indexed citations
13.
Klein, Herman O., et al.. (1993). Unilateral pulsatile varicose veins from tricuspid regurgitation. The American Journal of Cardiology. 71(7). 622–623. 18 indexed citations
14.
Lang, Roberto M., et al.. (1993). Hemodynamic prerequisites for the occurrence of diastolic mitral valve regurgitation. The American Journal of Cardiology. 71(16). 1470–1473. 4 indexed citations
15.
David, Daniel, Roberto M. Lang, Richard H. Marcus, et al.. (1991). Doppler echocardiographic estimation of transmitral pressure gradients and correlations with micromanometer gradients in mitral stenosis. The American Journal of Cardiology. 67(13). 1161–1164.
16.
David, Daniel, Roberto M. Lang, Alex Neumann, et al.. (1990). Parasympathetically modulated antiarrhythmic action of lidocaine in atrial fibrillation. American Heart Journal. 119(5). 1061–1068. 21 indexed citations
17.
David, Daniel, Roberto M. Lang, Alex Neumann, et al.. (1989). Comparison of Doppler indexes of left ventricular diastolic function with simultaneous high fidelity left atrial and ventricular pressures in idiopathic dilated cardiomyopathy. The American Journal of Cardiology. 64(18). 1173–1179. 20 indexed citations
18.
David, Daniel, Eric L. Michelson, Masahito Naito, & Leonard S. Dreifus. (1988). Extracellular potassium dynamics in the border zone during acute myocardial ischemia in a canine model. Journal of the American College of Cardiology. 11(2). 422–430. 10 indexed citations
19.
David, Daniel, Roberto M. Lang, & Kenneth M. Borow. (1988). Clinical utility of exercise, pacing, and pharmacologic stress testing for the noninvasive determination of myocardial contractility and reserve. American Heart Journal. 116(1). 235–247. 17 indexed citations
20.
Lang, Roberto M., et al.. (1983). Superiority of Oral Verapamil Therapy to Digoxin in Treatment of Chronic Atrial Fibrillation. CHEST Journal. 83(3). 491–499. 70 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Munther K. Homoud Breakdown of academic impact, for papers by Miguel Quintana Breakdown of academic impact, for papers by Ian S. deSouza Breakdown of academic impact, for papers by Sandra E. Conradi Breakdown of academic impact, for papers by Sungsoo Cho Breakdown of academic impact, for papers by Jun Fujii Breakdown of academic impact, for papers by B. Bui‐Xuan Breakdown of academic impact, for papers by Yong Hwan Kim Breakdown of academic impact, for papers by Ahmed Khattab Breakdown of academic impact, for papers by Kevin S. Merigian
Rankless by CCL
2026