Diaa Hakim

492 total citations
36 papers, 302 citations indexed

About

Diaa Hakim is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Diaa Hakim has authored 36 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 20 papers in Cardiology and Cardiovascular Medicine and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Diaa Hakim's work include Coronary Interventions and Diagnostics (24 papers), Cardiac Imaging and Diagnostics (19 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). Diaa Hakim is often cited by papers focused on Coronary Interventions and Diagnostics (24 papers), Cardiac Imaging and Diagnostics (19 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). Diaa Hakim collaborates with scholars based in United States, Egypt and Japan. Diaa Hakim's co-authors include Roxana Mehran, Elias Sanidas, Jeffrey W. Moses, Gregg W. Stone, Giora Weisz, Martin Fahy, Akiko Maehara, Gary S. Mintz, George Dangas and Peter H. Stone 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

Diaa Hakim

30 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diaa Hakim United States 10 182 169 118 65 34 36 302
Mark K. Warshofsky United States 7 220 1.2× 104 0.6× 40 0.3× 40 0.6× 16 0.5× 11 311
Gökhan Alıcı Türkiye 8 152 0.8× 40 0.2× 34 0.3× 52 0.8× 16 0.5× 27 212
Ann C. Garlitski United States 11 613 3.4× 76 0.4× 125 1.1× 24 0.4× 11 0.3× 29 685
Tong Shi-fei China 8 219 1.2× 39 0.2× 30 0.3× 62 1.0× 35 1.0× 16 342
Awaneesh Kumar United States 6 476 2.6× 53 0.3× 127 1.1× 32 0.5× 4 0.1× 9 536
George Christopoulos United States 11 116 0.6× 168 1.0× 79 0.7× 57 0.9× 3 0.1× 28 346
Cinzia Capuano Italy 9 212 1.2× 198 1.2× 61 0.5× 72 1.1× 35 1.0× 25 308
Matthew Webber United Kingdom 7 296 1.6× 31 0.2× 26 0.2× 12 0.2× 13 0.4× 27 337
Martina Patanè Italy 8 187 1.0× 132 0.8× 93 0.8× 39 0.6× 18 0.5× 14 247
Rhea Pimentel United States 14 620 3.4× 107 0.6× 39 0.3× 46 0.7× 98 2.9× 37 726

Countries citing papers authored by Diaa Hakim

Since Specialization
Citations

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

Fields of papers citing papers by Diaa Hakim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diaa Hakim

This figure shows the co-authorship network connecting the top 25 collaborators of Diaa Hakim. A scholar is included among the top collaborators of Diaa Hakim 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 Diaa Hakim. Diaa Hakim 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
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.
Gu, Sophie, Yuan Huang, Diaa Hakim, et al.. (2024). Comprehensive biomechanical and anatomical atherosclerotic plaque metrics predict major adverse cardiovascular events: A new tool for clinical decision making. Atherosclerosis. 390. 117449–117449. 6 indexed citations
4.
Soleimani, Hamidreza, Ali Nasrollahizadeh, Amir Nasrollahizadeh, et al.. (2024). Cardiovascular disease burden in the North Africa and Middle East region: an analysis of the global burden of disease study 1990–2021. BMC Cardiovascular Disorders. 24(1). 712–712. 6 indexed citations
5.
Soleimani, Hamidreza, Amirhossein Ghaseminejad‐Raeini, Mehdi Mehrani, et al.. (2024). Comparative Analysis of PCI Strategies in Aortic Stenosis Patients Undergoing TAVI: A Systematic Review and Network Meta‐Analysis. Clinical Cardiology. 47(8). e24324–e24324. 1 indexed citations
6.
Leistner, David M., Diaa Hakim, Youssef S. Abdelwahed, et al.. (2024). Endothelial Shear Stress Metrics Associate With Proinflammatory Pathways at the Culprit Site of Coronary Erosion. JACC Basic to Translational Science. 9(11). 1269–1283. 6 indexed citations
7.
Hassan, Ahmed, et al.. (2024). Comparative effectiveness of ultrathin vs. standard strut drug-eluting stents: insights from a large-scale meta-analysis with extended follow-up. European journal of medical research. 29(1). 388–388. 3 indexed citations
8.
Soleimani, Hamidreza, Yasar Sattar, Yaser Jenab, et al.. (2024). Trends in Transcatheter Versus Surgical Aortic Valve Replacement Outcomes in Patients With Low‐Surgical Risk: A Systematic Review and Meta‐Analysis of Randomized Trials. Journal of the American Heart Association. 13(21). e036179–e036179. 2 indexed citations
9.
Dean, Yomna E., Karam R. Motawea, Ziad Khalifa, et al.. (2023). Anthracyclines and the risk of arrhythmias: A systematic review and meta-analysis. Medicine. 102(46). e35770–e35770. 7 indexed citations
10.
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
11.
Dean, Yomna E., Yousef Tanas, Amr Salem, et al.. (2023). Association between insomnia and the incidence of myocardial infarction: A systematic review and meta‐analysis. Clinical Cardiology. 46(4). 376–385. 34 indexed citations
12.
Shah, Jaffer, et al.. (2023). Prognostic and discriminatory abilities of imaging scoring systems in predicting COVID‐19 adverse outcomes. SHILAP Revista de lepidopterología. 1(2). 128–140. 1 indexed citations
13.
14.
Hakim, Diaa, et al.. (2020). Preemptive percutaneous coronary intervention for coronary artery disease: identification of the appropriate high-risk lesion. Current Opinion in Cardiology. 35(6). 712–719. 2 indexed citations
16.
Weisz, Giora, et al.. (2014). Optical coherence tomography for guiding wire into a side branch coronary artery with flush total occlusion. Cardiovascular revascularization medicine. 16(1). 55–57. 1 indexed citations
17.
Mintz, Gary S., So‐Yeon Choi, Diaa Hakim, et al.. (2013). Intravascular Ultrasound Comparison of Left Main Coronary Artery Disease Between White and Asian Patients. The American Journal of Cardiology. 111(7). 979–984. 29 indexed citations
18.
Hakim, Diaa, Gary S. Mintz, Elias Sanidas, et al.. (2012). Serial Gray Scale Intravascular Ultrasound Findings in Late Drug-Eluting Stent Restenosis. The American Journal of Cardiology. 111(5). 695–699. 15 indexed citations
19.
Sanidas, Elias, Akiko Maehara, Diaa Hakim, et al.. (2011). ENHANCED STENT IMAGING IMPROVES THE DIAGNOSIS OF STENT UNDEREXPANSION AND OPTIMIZES STENT DEPLOYMENT. Journal of the American College of Cardiology. 57(14). E1230–E1230. 1 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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