Mohammed Al‐Omran

10.1k total citations · 2 hit papers
226 papers, 6.6k citations indexed

About

Mohammed Al‐Omran is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mohammed Al‐Omran has authored 226 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Surgery, 101 papers in Pulmonary and Respiratory Medicine and 96 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mohammed Al‐Omran's work include Peripheral Artery Disease Management (56 papers), Cardiac, Anesthesia and Surgical Outcomes (51 papers) and Aortic aneurysm repair treatments (44 papers). Mohammed Al‐Omran is often cited by papers focused on Peripheral Artery Disease Management (56 papers), Cardiac, Anesthesia and Surgical Outcomes (51 papers) and Aortic aneurysm repair treatments (44 papers). Mohammed Al‐Omran collaborates with scholars based in Canada, Saudi Arabia and United States. Mohammed Al‐Omran's co-authors include Subodh Verma, Muhammad Mamdani, Hwee Teoh, Adrian Quan, Mohamad A. Hussain, Fina Lovren, Krishna K. Singh, Praphulla Chandra Shukla, Yi Pan and Charles de Mestral and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Circulation.

In The Last Decade

Mohammed Al‐Omran

211 papers receiving 6.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Harassment and Discrimination in Medical Training

2014 456 citations Naif Fnais, Charlene Soobiah et al. Academic Medicine profile →
Effect of Empagliflozin on Left Ventricular Mass in Patients With Type 2 Diabetes Mellitus and Coronary Artery Disease

2019 386 citations Subodh Verma, Mohammed Al‐Omran et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammed Al‐Omran Canada	39	2.0k	1.8k	1.6k	1.5k	882	226	6.6k
Joseph Shalhoub United Kingdom	36	1.5k 0.8×	1.0k 0.6×	1.1k 0.7×	564 0.4×	237 0.3×	263	4.6k
John S. Ikonomidis United States	42	2.1k 1.1×	4.7k 2.6×	2.4k 1.5×	735 0.5×	268 0.3×	167	7.8k
Mitchell H. Rosner United States	44	1.3k 0.6×	700 0.4×	1.5k 0.9×	1.8k 1.2×	275 0.3×	152	7.2k
Keith T. Oldham United States	49	3.6k 1.8×	626 0.3×	1.4k 0.9×	927 0.6×	310 0.4×	173	6.8k
Manfred Hecking Austria	33	1.3k 0.7×	1.6k 0.9×	930 0.6×	615 0.4×	915 1.0×	109	6.0k
Irene Helenowski United States	39	877 0.4×	253 0.1×	967 0.6×	898 0.6×	382 0.4×	232	5.7k
Brian R. Smith United States	42	2.7k 1.4×	513 0.3×	1.1k 0.7×	553 0.4×	178 0.2×	223	6.1k
Sharon L. Mulvagh United States	40	1.3k 0.7×	4.0k 2.2×	781 0.5×	448 0.3×	492 0.6×	175	6.7k
E. Albert Reece United States	54	2.3k 1.1×	517 0.3×	479 0.3×	1.5k 1.1×	842 1.0×	294	11.2k
Irving L. Kron United States	62	8.4k 4.2×	5.9k 3.2×	4.1k 2.5×	948 0.7×	257 0.3×	504	15.0k

Countries citing papers authored by Mohammed Al‐Omran

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Al‐Omran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Al‐Omran. 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 Mohammed Al‐Omran. The network helps show where Mohammed Al‐Omran may publish in the future.

Co-authorship network of co-authors of Mohammed Al‐Omran

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Elkaim, Lior M., Mohammed Ali Alvi, Ben Li, et al.. (2025). Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study. JMIR Formative Research. 9. e60859–e60859.

Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2025). Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair. Journal of the American Heart Association. 14(5). e039221–e039221. 2 indexed citations

Al‐Omran, Mohammed, et al.. (2024). Is there an association between arteriovenous fistulas and axillary artery aneurysms? A report of two cases. International Journal of Surgery Case Reports. 123. 110289–110289.

Li, Ben, Abdelrahman Zamzam, Muzammil H. Syed, et al.. (2024). Development and evaluation of a prediction model for peripheral artery disease-related major adverse limb events using novel biomarker data. Journal of Vascular Surgery. 80(2). 490–497.e1. 6 indexed citations

Li, Ben, Badr Aljabri, Raj Verma, et al.. (2024). Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning. Journal of the American Heart Association. 13(9). e033194–e033194. 4 indexed citations

Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2024). Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting. Journal of the American Heart Association. 13(17). e035425–e035425. 3 indexed citations

AlHamzah, Musaad, Faris Alomran, Badr Aljabri, et al.. (2024). Predicting the need for subclavian artery revascularization in thoracic endovascular aortic repair: A systematic review and meta-analysis. Journal of Vascular Surgery. 80(3). 922–936.e5. 4 indexed citations

Heindel, Patrick, Eric A. Secemsky, Deepak L. Bhatt, et al.. (2024). Colchicine for cardiovascular and limb risk reduction in Medicare beneficiaries with peripheral artery disease: emulation of target trials. European Heart Journal Open. 4(4). oeae062–oeae062. 5 indexed citations

Zamzam, Abdelrahman, et al.. (2023). A novel Canadian multidisciplinary acute care pathway for people hospitalised with a diabetic foot ulcer. International Wound Journal. 20(8). 3331–3337. 6 indexed citations

10.

Li, Ben, Raj Verma, Derek Beaton, et al.. (2023). Predicting outcomes following open revascularization for aortoiliac occlusive disease using machine learning. Journal of Vascular Surgery. 78(6). 1449–1460.e7. 8 indexed citations

11.

Li, Ben, Badr Aljabri, Raj Verma, et al.. (2023). Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair. British journal of surgery. 110(12). 1840–1849. 12 indexed citations

12.

Li, Ben, Raj Verma, Derek Beaton, et al.. (2023). Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning. Journal of the American Heart Association. 12(20). e030508–e030508. 11 indexed citations

13.

Li, Ben, Derek Beaton, Hani Tamim, et al.. (2023). Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning. Journal of Vascular Surgery. 78(4). e78–e79. 1 indexed citations

14.

Alvi, Mohammed Ali, et al.. (2022). Thirty-Day Stroke and Mortality After Carotid Revascularization Among Octogenarians with Symptomatic Carotid Stenosis: Real-World Evidence from a National Surgical Quality Registry. World Neurosurgery. 167. e40–e52. 3 indexed citations

15.

Al‐Omran, Mohammed, et al.. (2016). Prevalence of Headache in Female Students in King Faisal University: A Questionnaire Study. International Journal of Science and Research (IJSR). 5(6). 256–260. 5 indexed citations

16.

Fnais, Naif, Charlene Soobiah, Erin Lillie, et al.. (2014). Harassment and Discrimination in Medical Training. Academic Medicine. 89(5). 817–827. 456 indexed citations breakdown →

17.

Grimaldi, Vincenzo, Francesco Paolo Mancini, Amelia Casamassimi, et al.. (2013). Potential benefits of cell therapy in coronary heart disease. Journal of Cardiology. 62(5). 267–276. 18 indexed citations

18.

Al‐Omran, Mohammed. (2007). Knowledge and attitude of physicians in a major teaching hospital towards atherosclerotic risk reduction therapy in patients with peripheral arterial disease.. PubMed. 3(6). 1019–27. 25 indexed citations

19.

Aljabri, Badr, et al.. (2007). Prevalence of and risk factors for peripheral arterial disease in Saudi Arabia. A pilot cross-sectional study.. PubMed. 28(3). 412–4. 26 indexed citations

20.

Al‐Khayal, Khayal & Mohammed Al‐Omran. (2007). Computed tomography and ultrasonography in the diagnosis of equivocal acute appendicitis. A meta-analysis.. PubMed. 28(2). 173–80. 59 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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