David Molony

1.3k total citations
41 papers, 664 citations indexed

About

David Molony is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Molony has authored 41 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 27 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Molony's work include Coronary Interventions and Diagnostics (33 papers), Cardiac Imaging and Diagnostics (27 papers) and Cerebrovascular and Carotid Artery Diseases (11 papers). David Molony is often cited by papers focused on Coronary Interventions and Diagnostics (33 papers), Cardiac Imaging and Diagnostics (27 papers) and Cerebrovascular and Carotid Artery Diseases (11 papers). David Molony collaborates with scholars based in United States, Ireland and China. David Molony's co-authors include Habib Samady, Lucas H. Timmins, Tim M. McGloughlin, Michael T. Walsh, Don P. Giddens, Parham Eshtehardi, Anthony Callanan, Michael McDaniel, John N. Oshinski and E.G. Kavanagh and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

David Molony

37 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Molony United States 14 417 342 287 233 114 41 664
Giuseppe De Nisco Italy 17 456 1.1× 262 0.8× 386 1.3× 234 1.0× 107 0.9× 31 709
Gilwoo Choi United States 13 492 1.2× 387 1.1× 373 1.3× 255 1.1× 144 1.3× 26 841
Panagiotis K. Siogkas Greece 15 495 1.2× 216 0.6× 298 1.0× 363 1.6× 174 1.5× 67 670
Jan A. Oomen Netherlands 11 680 1.6× 280 0.8× 452 1.6× 400 1.7× 128 1.1× 16 877
Stefan Saur Switzerland 11 260 0.6× 130 0.4× 202 0.7× 199 0.9× 107 0.9× 19 465
Lambert Speelman Netherlands 18 504 1.2× 696 2.0× 503 1.8× 174 0.7× 378 3.3× 30 1.1k
Ufuk Olgaç Switzerland 13 348 0.8× 177 0.5× 289 1.0× 131 0.6× 124 1.1× 16 622
Lambros S. Athanasiou United States 18 601 1.4× 330 1.0× 261 0.9× 384 1.6× 295 2.6× 52 780
Alina G. van der Giessen Netherlands 10 327 0.8× 162 0.5× 224 0.8× 287 1.2× 86 0.8× 13 449
Eline M.J. Hartman Netherlands 13 215 0.5× 108 0.3× 191 0.7× 143 0.6× 49 0.4× 23 346

Countries citing papers authored by David Molony

Since Specialization
Citations

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

Fields of papers citing papers by David Molony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Molony

This figure shows the co-authorship network connecting the top 25 collaborators of David Molony. A scholar is included among the top collaborators of David Molony 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 David Molony. David Molony 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.
Molony, David, Adrien Lefieux, Marina Piccinelli, et al.. (2025). Impact of the stent footprint on endothelial wall shear stress in patient-specific coronary arteries: A computational analysis from the SHEAR-STENT trial. Computer Methods and Programs in Biomedicine. 266. 108762–108762.
2.
Hakim, Diaa, Ahmet U. Coskun, David Molony, et al.. (2025). COMBINED COMPUTED TOMOGRAPHY ANGIOGRAPHY-DERIVED HIGH-RISK ANATOMIC AND SHEAR STRESS METRICS ARE SYNERGISTIC TO PREDICT ACUTE CORONARY SYNDROME: THE ICONIC TRIAL. Journal of the American College of Cardiology. 85(12). 2007–2007.
3.
Hakim, Diaa, Ahmet U. Coskun, Charles Maynard, et al.. (2023). Endothelial shear stress computed from coronary computed tomography angiography: A direct comparison to intravascular ultrasound. Journal of cardiovascular computed tomography. 17(3). 201–210. 9 indexed citations
4.
Lee, Joo Myung, Doosup Shin, Seung Hun Lee, et al.. (2023). Differential predictability for high-risk plaque characteristics between fractional flow reserve and instantaneous wave-free ratio. Scientific Reports. 13(1). 16005–16005. 2 indexed citations
5.
Meyer, Clark A., et al.. (2022). Automated finite element approach to generate anatomical patient-specific biomechanical models of atherosclerotic arteries from virtual histology-intravascular ultrasound. SHILAP Revista de lepidopterología. 4. 1008540–1008540. 5 indexed citations
6.
Ciri, Umberto, Ruth Bennett, David Molony, et al.. (2021). Assessment with clinical data of a coupled bio-hemodynamics numerical model to predict leukocyte adhesion in coronary arteries. Scientific Reports. 11(1). 12680–12680. 4 indexed citations
7.
Kumar, Sonali, Puja K. Mehta, Parham Eshtehardi, et al.. (2020). FUNCTIONAL CORONARY ANGIOGRAPHY IN SYMPTOMATIC PATIENTS WITH NO OBSTRUCTIVE CORONARY ARTERY DISEASE. Journal of the American College of Cardiology. 75(11). 1445–1445. 1 indexed citations
8.
Kumar, Arnav, Bill D. Gogas, Elizabeth Thompson, et al.. (2020). Bioresorbable vascular scaffolds versus everolimus-eluting stents: a biomechanical analysis of the ABSORB III Imaging substudy. EuroIntervention. 16(12). e989–e996. 3 indexed citations
9.
Molony, David & Habib Samady. (2019). TCT-342 DeepIVUS: A Machine Learning Platform for Fully Automatic IVUS Segmentation and Phenotyping. Journal of the American College of Cardiology. 74(13). B339–B339. 5 indexed citations
10.
Wang, Liang, Dalin Tang, Akiko Maehara, et al.. (2019). Multi-factor decision-making strategy for better coronary plaque burden increase prediction: a patient-specific 3D FSI study using IVUS follow-up data. Biomechanics and Modeling in Mechanobiology. 18(5). 1269–1280. 9 indexed citations
11.
Kok, Annette M., David Molony, Lucas H. Timmins, et al.. (2019). The influence of multidirectional shear stress on plaque progression and composition changes in human coronary arteries. EuroIntervention. 15(8). 692–699. 38 indexed citations
12.
Samady, Habib, David Molony, Ahmet U. Coskun, et al.. (2019). Risk stratification of coronary plaques using physiologic characteristics by CCTA: Focus on shear stress. Journal of cardiovascular computed tomography. 14(5). 386–393. 20 indexed citations
13.
Molony, David, Hossein Hosseini, & Habib Samady. (2018). TCT-2 Deep IVUS: A machine learning framework for fully automatic IVUS segmentation. Journal of the American College of Cardiology. 72(13). B1–B1. 6 indexed citations
14.
Timmins, Lucas H., David Molony, Parham Eshtehardi, et al.. (2016). Quantification of the focal progression of coronary atherosclerosis through automated co-registration of virtual histology-intravascular ultrasound imaging data. International journal of cardiac imaging. 33(1). 13–24. 3 indexed citations
15.
Molony, David, Lucas H. Timmins, Emad Rasoul–Arzrumly, Habib Samady, & Don P. Giddens. (2016). Evaluation of a framework for the co-registration of intravascular ultrasound and optical coherence tomography coronary artery pullbacks. Journal of Biomechanics. 49(16). 4048–4056. 12 indexed citations
16.
Timmins, Lucas H., David Molony, Parham Eshtehardi, et al.. (2014). Focal Association Between Wall Shear Stress and Clinical Coronary Artery Disease Progression. Annals of Biomedical Engineering. 43(1). 94–106. 42 indexed citations
17.
Gogas, Bill D., Spencer B. King, Lucas H. Timmins, et al.. (2013). Biomechanical Assessment of Fully Bioresorbable Devices. JACC: Cardiovascular Interventions. 6(7). 760–761. 14 indexed citations
18.
Molony, David, et al.. (2010). A Computational Study of the Magnitude and Direction of Migration Forces in Patient-specific Abdominal Aortic Aneurysm Stent-Grafts. European Journal of Vascular and Endovascular Surgery. 40(3). 332–339. 85 indexed citations
19.
Molony, David, Anthony Callanan, Eamon G. Kavanagh, Michael T. Walsh, & Tim M. McGloughlin. (2009). Fluid-structure interaction of a patient-specific abdominal aortic aneurysm treated with an endovascular stent-graft. BioMedical Engineering OnLine. 8(1). 24–24. 63 indexed citations
20.
Molony, David, Anthony Callanan, Liam Morris, et al.. (2008). Geometrical Enhancements for Abdominal Aortic Stent-Grafts. Journal of Endovascular Therapy. 15(5). 518–529. 34 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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