Mohamad A. Hussain

2.6k total citations
114 papers, 1.6k citations indexed

About

Mohamad A. Hussain is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mohamad A. Hussain has authored 114 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Pulmonary and Respiratory Medicine, 55 papers in Surgery and 53 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mohamad A. Hussain's work include Cardiac, Anesthesia and Surgical Outcomes (39 papers), Peripheral Artery Disease Management (32 papers) and Aortic aneurysm repair treatments (30 papers). Mohamad A. Hussain is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (39 papers), Peripheral Artery Disease Management (32 papers) and Aortic aneurysm repair treatments (30 papers). Mohamad A. Hussain collaborates with scholars based in Canada, United States and Saudi Arabia. Mohamad A. Hussain's co-authors include Mohammed Al‐Omran, Subodh Verma, Muhammad Mamdani, Charles de Mestral, Konrad Salata, Elisa Greco, Badr Aljabri, Thomas L. Forbes, Deepak L. Bhatt and Jack V. Tu and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Mohamad A. Hussain

97 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamad A. Hussain Canada 20 829 590 550 175 172 114 1.6k
Amy B. Reed United States 20 942 1.1× 1.2k 2.0× 520 0.9× 85 0.5× 66 0.4× 73 1.8k
Sherene Shalhub United States 24 851 1.0× 746 1.3× 350 0.6× 97 0.6× 77 0.4× 107 1.6k
Gregory S. Cherr United States 26 1.2k 1.4× 1.0k 1.8× 391 0.7× 74 0.4× 168 1.0× 64 1.9k
Kimberly A. Skelding United States 24 534 0.6× 836 1.4× 1.1k 2.1× 58 0.3× 113 0.7× 70 2.1k
Andrew J. Meltzer United States 22 719 0.9× 820 1.4× 441 0.8× 39 0.2× 49 0.3× 102 1.5k
Mina Madan Canada 22 268 0.3× 568 1.0× 926 1.7× 35 0.2× 95 0.6× 90 1.4k
Danny Chu United States 29 1.1k 1.3× 1.1k 1.9× 1.5k 2.6× 53 0.3× 93 0.5× 149 2.8k
Ghada Mikhail United Kingdom 27 770 0.9× 1.0k 1.7× 1.5k 2.8× 92 0.5× 108 0.6× 95 2.3k
Castigliano M. Bhamidipati United States 23 743 0.9× 921 1.6× 608 1.1× 14 0.1× 42 0.2× 87 1.9k
John P. Fischer United States 29 265 0.3× 1.9k 3.2× 189 0.3× 70 0.4× 149 0.9× 88 2.3k

Countries citing papers authored by Mohamad A. Hussain

Since Specialization
Citations

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

Fields of papers citing papers by Mohamad A. Hussain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamad A. Hussain. 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 Mohamad A. Hussain. The network helps show where Mohamad A. Hussain may publish in the future.

Co-authorship network of co-authors of Mohamad A. Hussain

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamad A. Hussain. A scholar is included among the top collaborators of Mohamad A. Hussain 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 Mohamad A. Hussain. Mohamad A. Hussain 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.
Rana, Omer, et al.. (2025). Safety of pre-operative venogram for hemodialysis access planning in pre-end-stage kidney disease patients. The Journal of Vascular Access. 26(6). 1908–1913.
2.
Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2025). Using machine learning to predict outcomes following transcarotid artery revascularization. Scientific Reports. 15(1). 3924–3924.
3.
Heindel, Patrick, et al.. (2025). Regional and center-based variation in arteriovenous fistula placement as a first-time hemodialysis access. Journal of Vascular Surgery. 82(2). 599–604. 1 indexed citations
4.
Balaji, Alexandra B., Joseph R. Casey, Daniel E. Montaño, et al.. (2025). A scoping review of electronic phenotyping methodologies used to identify peripheral artery disease in observational studies. Vascular Medicine. 30(3). 330–342. 1 indexed citations
5.
6.
Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2024). Predicting lack of clinical improvement following varicose vein ablation using machine learning. Journal of Vascular Surgery Venous and Lymphatic Disorders. 13(3). 102162–102162. 1 indexed citations
7.
Heindel, Patrick, et al.. (2024). Evaluating the effectiveness of systemic heparin during arteriovenous fistula creation by emulating a target trial. American Journal of Epidemiology. 194(3). 651–658. 3 indexed citations
8.
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
9.
Hussain, Mohamad A., et al.. (2024). Developing Sirogen—A Sirolimus Formulation for Intraoperative Periadventitial Delivery: Bench to Bedside. Journal of Vascular Surgery. 79(6). e71–e71. 1 indexed citations
10.
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
11.
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
12.
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
13.
Mosarla, Ramya, Patrick Heindel, Mohamad A. Hussain, et al.. (2024). Utilization and Outcomes Associated With Intravascular Ultrasound During Abdominal and Thoracic Endovascular Aortic Interventions in the United States in the Contemporary Era (2016–2023). Circulation Cardiovascular Interventions. 18(1). e014332–e014332.
14.
Li, Ben, Derek Beaton, Hani Tamim, et al.. (2023). Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning. Journal of Vascular Surgery. 77(6). e275–e275. 1 indexed citations
15.
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
16.
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
17.
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
18.
Salata, Konrad, Faraj W. Abdallah, Mohamad A. Hussain, et al.. (2020). Short-term outcomes of combined neuraxial and general anaesthesia versus general anaesthesia alone for elective open abdominal aortic aneurysm repair: retrospective population-based cohort study†. British Journal of Anaesthesia. 124(5). 544–552. 4 indexed citations
19.
Hussain, Mohamad A., et al.. (2016). Impact of diabetes on carotid artery revascularization. Journal of Vascular Surgery. 63(4). 1099–1107.e4. 21 indexed citations
20.
Hussain, Mohamad A., et al.. (2016). Efficacy of a Guideline-Recommended Risk-Reduction Program to Improve Cardiovascular and Limb Outcomes in Patients With Peripheral Arterial Disease. Journal of Vascular Surgery. 64(2). 535–535. 4 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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