Akl C. Fahed

2.1k total citations · 3 hit papers
43 papers, 935 citations indexed

About

Akl C. Fahed is a scholar working on Surgery, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Akl C. Fahed has authored 43 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 15 papers in Genetics and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Akl C. Fahed's work include Genetic Associations and Epidemiology (14 papers), Lipoproteins and Cardiovascular Health (12 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Akl C. Fahed is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Lipoproteins and Cardiovascular Health (12 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Akl C. Fahed collaborates with scholars based in United States, Lebanon and South Korea. Akl C. Fahed's co-authors include Amit V. Khera, Anthony Philippakis, Aniruddh P. Patel, Patrick T. Ellinor, Deanna Brockman, Minxian Wang, Kenney Ng, Georges Nemer, Karim Sleiman and Alexander G. Bick and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Akl C. Fahed

40 papers receiving 916 citations

Hit Papers

Polygenic background modifies penetrance of monogenic var... 2020 2026 2022 2024 2020 2023 2024 50 100 150 200 250

Peers

Akl C. Fahed
Nina Mars Finland
Wes Spiller United Kingdom
Laura M. Raffield United States
Benjamin B. Sun United Kingdom
Eric A. W. Slob United Kingdom
Julian R. Homburger United States
W. Mark Brown United States
Diane T. Smelser United States
Nina Mars Finland
Akl C. Fahed
Citations per year, relative to Akl C. Fahed Akl C. Fahed (= 1×) peers Nina Mars

Countries citing papers authored by Akl C. Fahed

Since Specialization
Citations

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

Fields of papers citing papers by Akl C. Fahed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akl C. Fahed. 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 Akl C. Fahed. The network helps show where Akl C. Fahed may publish in the future.

Co-authorship network of co-authors of Akl C. Fahed

This figure shows the co-authorship network connecting the top 25 collaborators of Akl C. Fahed. A scholar is included among the top collaborators of Akl C. Fahed 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 Akl C. Fahed. Akl C. Fahed 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.
Truong, Buu, Sarah Urbut, Akl C. Fahed, et al.. (2025). Instability of high polygenic risk classification and mitigation by integrative scoring. Nature Communications. 16(1). 1584–1584. 5 indexed citations
2.
Kim, Min Seo, Shaan Khurshid, Shinwan Kany, et al.. (2025). Machine Learning-Based Plasma Protein Risk Score Improves Atrial Fibrillation Prediction Over Clinical and Genomic Models. Circulation Genomic and Precision Medicine. 18(4). e004943–e004943. 2 indexed citations
3.
Kunji, Khalid, Atlas Khan, Mohammed Bashir, et al.. (2025). Genome‐Wide Association Study for Resting Electrocardiogram in the Qatari Population Identifies 6 Novel Genes and Validates Novel Polygenic Risk Scores. Journal of the American Heart Association. 14(5). e038341–e038341. 1 indexed citations
4.
Marini, Sandro, Farid Radmanesh, Joshua I. Chalif, et al.. (2025). Traumatic Spinal Cord Injury and Subsequent Risk of Developing Chronic Cardiovascular, Neurologic, Psychiatric, and Endocrine Disorders. JAMA Network Open. 8(11). e2541157–e2541157.
5.
Urbut, Sarah, Ozan Ünlü, Sam Friedman, et al.. (2025). Genomic Drivers of Coronary Artery Disease and Risk of Future Outcomes After Coronary Angiography. JAMA Network Open. 8(1). e2455368–e2455368. 1 indexed citations
6.
Zhang, Yichi & Akl C. Fahed. (2025). Breaking binary in cardiovascular disease risk prediction. PubMed. 2(1). 2 indexed citations
7.
Cho, So Mi Jemma, Michael G. Levin, Renae Judy, et al.. (2025). AHA PREVENT Equations and Cardiovascular Disease Risk in Diverse Health Care Populations. Journal of the American College of Cardiology. 86(3). 181–192. 7 indexed citations
8.
Nurmohamed, Nick S., Injeong Shim, Michiel J. Bom, et al.. (2024). Polygenic Risk Is Associated With Long-Term Coronary Plaque Progression and High-Risk Plaque. JACC. Cardiovascular imaging. 17(12). 1445–1459. 6 indexed citations
9.
Urbut, Sarah, Ming Wai Yeung, Shaan Khurshid, et al.. (2024). MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease. Nature Communications. 15(1). 4884–4884. 5 indexed citations
10.
Reeskamp, Laurens F., Injeong Shim, Jacqueline S. Dron, et al.. (2023). Polygenic Background Modifies Risk of Coronary Artery Disease Among Individuals With Heterozygous Familial Hypercholesterolemia. JACC Advances. 2(9). 100662–100662. 7 indexed citations
11.
Bhattacharya, Romit, Megan Wong, Sara Haidermota, et al.. (2023). Genetic and clinical factors underlying a self-reported family history of heart disease. European Journal of Preventive Cardiology. 30(15). 1571–1579. 3 indexed citations
12.
Shim, Injeong, Hiroyuki Kuwahara, Mais Hashem, et al.. (2023). Clinical utility of polygenic scores for cardiometabolic disease in Arabs. Nature Communications. 14(1). 6535–6535. 5 indexed citations
13.
Kartoun, Uri, Akl C. Fahed, Shinwan Kany, et al.. (2023). Exploring the link between Gilbert’s syndrome and atherosclerotic cardiovascular disease: insights from a subpopulation-based analysis of over one million individuals. European Heart Journal Open. 3(3). oead059–oead059. 2 indexed citations
14.
Patel, Aniruddh P., Minxian Wang, Yunfeng Ruan, et al.. (2023). A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease. Nature Medicine. 29(7). 1793–1803. 98 indexed citations breakdown →
15.
Ünlü, Ozan & Akl C. Fahed. (2023). Machine Learning in Invasive and Noninvasive Coronary Angiography. Current Atherosclerosis Reports. 25(12). 1025–1033. 2 indexed citations
16.
Fahed, Akl C., Anthony Philippakis, & Amit V. Khera. (2022). The potential of polygenic scores to improve cost and efficiency of clinical trials. Nature Communications. 13(1). 2922–2922. 41 indexed citations
17.
Fahed, Akl C., Krishna G. Aragam, George Hindy, et al.. (2020). Transethnic Transferability of a Genome-Wide Polygenic Score for Coronary Artery Disease. Circulation Genomic and Precision Medicine. 14(1). e003092–e003092. 24 indexed citations
18.
Fahed, Akl C., Minxian Wang, Julian R. Homburger, et al.. (2020). Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions. Nature Communications. 11(1). 3635–3635. 252 indexed citations breakdown →
19.
Nazha, Bassel, et al.. (2015). Students’ Perceptions of Peer-Organized Extra-Curricular Research Course during Medical School: A Qualitative Study. PLoS ONE. 10(3). e0119375–e0119375. 19 indexed citations
20.
Fahed, Akl C., Amy E. Roberts, Seema Mital, & Neal K. Lakdawala. (2013). Heart Failure in Congenital Heart Disease. Heart Failure Clinics. 10(1). 219–227. 38 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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