Fady T. Charbel

10.5k total citations
297 papers, 7.3k citations indexed

About

Fady T. Charbel is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Fady T. Charbel has authored 297 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 231 papers in Neurology, 126 papers in Pulmonary and Respiratory Medicine and 61 papers in Epidemiology. Recurrent topics in Fady T. Charbel's work include Intracranial Aneurysms: Treatment and Complications (173 papers), Cerebrovascular and Carotid Artery Diseases (115 papers) and Traumatic Brain Injury and Neurovascular Disturbances (82 papers). Fady T. Charbel is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (173 papers), Cerebrovascular and Carotid Artery Diseases (115 papers) and Traumatic Brain Injury and Neurovascular Disturbances (82 papers). Fady T. Charbel collaborates with scholars based in United States, Finland and Canada. Fady T. Charbel's co-authors include Sepideh Amin‐Hanjani, James I. Ausman, Victor Aletich, Gérard Debrun, Ali Alaraj, William E. Hoffman, Guy Edelman, Xinjian Du, Manuel Dujovny and Cristián Luciano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Scientific Reports.

In The Last Decade

Fady T. Charbel

280 papers receiving 7.1k citations

Peers

Fady T. Charbel
Peter Nakaji United States
Michael T. Lawton United States
Adel M. Malek United States
Gavin W. Britz United States
Neil Kitchen United Kingdom
Manuel Dujovny United States
Philippe Gailloud United States
Veit Rohde Germany
Peter Nakaji United States
Fady T. Charbel
Citations per year, relative to Fady T. Charbel Fady T. Charbel (= 1×) peers Peter Nakaji

Countries citing papers authored by Fady T. Charbel

Since Specialization
Citations

This map shows the geographic impact of Fady T. Charbel'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 Fady T. Charbel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fady T. Charbel more than expected).

Fields of papers citing papers by Fady T. Charbel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fady T. Charbel. 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 Fady T. Charbel. The network helps show where Fady T. Charbel may publish in the future.

Co-authorship network of co-authors of Fady T. Charbel

This figure shows the co-authorship network connecting the top 25 collaborators of Fady T. Charbel. A scholar is included among the top collaborators of Fady T. Charbel 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 Fady T. Charbel. Fady T. Charbel 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.
Tjoumakaris, Stavropoula, Sepideh Amin‐Hanjani, Fady T. Charbel, et al.. (2025). ARISE II Consensus on the Management of Intracranial Atherosclerotic Disease. Stroke. 56(6). 1636–1641. 2 indexed citations
2.
Islam, Md Tarikul, Ravi Prakash, Laura Stone McGuire, et al.. (2025). Linear array thermoacoustic imaging for neonatal brain imaging. 133–133.
3.
Mut, Fernando, Alexander Yu, Boyle C. Cheng, et al.. (2024). Distribution of rupture sites and blebs on intracranial aneurysm walls suggests distinct rupture patterns in ACom and MCA aneurysms. International Journal for Numerical Methods in Biomedical Engineering. 40(8). e3837–e3837. 1 indexed citations
4.
Sebök, Martina, Christiaan Hendrik Bas van Niftrik, Fady T. Charbel, et al.. (2024). Neurosurgical Microvascular Anastomosis: Systematic Review of the Existing Simulators and Proposal of a New Training Classification System. Brain Sciences. 14(10). 1031–1031.
5.
Atwal, Gursant, et al.. (2024). Does disease etiology matter in long-term patency in extracranial-intracranial bypass?. Journal of neurosurgery. 142(3). 1–6.
6.
Brunozzi, Denise, et al.. (2023). Preoperative embolization of brain arteriovenous malformation and efficacy in intraoperative blood loss reduction: a quantitative study. Journal of NeuroInterventional Surgery. 16(6). 541–547. 5 indexed citations
7.
McGuire, Laura Stone & Fady T. Charbel. (2023). A narrative review of techniques for surgical revascularization of the extracranial vertebral artery in vertebrobasilar insufficiency. Neurochirurgie. 70(3). 101516–101516. 1 indexed citations
8.
Li, Daniel, Meide Zhao, Xinjian Du, et al.. (2021). Patient-Specific Cerebral Flow Model Using Regional Flows and Multi-Objective Optimization. Journal of Neurology Research. 11. 37–46.
9.
Amin‐Hanjani, Sepideh, Alfred P. See, Xinjian Du, et al.. (2020). Natural History of Hemodynamics in Vertebrobasilar Disease. Stroke. 51(11). 3295–3301. 12 indexed citations
10.
Behbahani, Mandana, Xinjian Du, Laura Stone McGuire, et al.. (2020). A New Scoring System for Prediction of Underlying Vascular Pathology in Patients with Intracerebral Hemorrhage: The Modified Secondary Intracerebral Hemorrhage Score. World Neurosurgery. 142. e126–e132. 1 indexed citations
11.
Park, Chang, et al.. (2019). Quantification of blood flow patterns in the cerebral arterial circulation of individual (human) subjects. International Journal for Numerical Methods in Biomedical Engineering. 36(1). e3288–e3288. 16 indexed citations
12.
Alaraj, Ali, et al.. (2018). Quantification of near‐wall hemodynamic risk factors in large‐scale cerebral arterial trees. International Journal for Numerical Methods in Biomedical Engineering. 34(7). e2987–e2987. 12 indexed citations
13.
Denyer, Steven, Abhiraj D. Bhimani, Gregory D. Arnone, et al.. (2018). Magnetic Drug Targeting: A Novel Treatment for Intramedullary Spinal Cord Tumors. Scientific Reports. 8(1). 11417–11417. 59 indexed citations
14.
Zhao, Meide, M. E. Clark, Sepideh Amin‐Hanjani, et al.. (2017). An Enhanced Patient-Specific Computer Model Using an Iterative Multi-Staged Algorithm. Journal of Neurology Research. 7(3). 25–38. 1 indexed citations
15.
Amin‐Hanjani, Sepideh, Tanya N. Turan, Xinjian Du, et al.. (2016). Higher Stroke Risk with Lower Blood Pressure in Hemodynamic Vertebrobasilar Disease: Analysis from the VERiTAS Study. Journal of Stroke and Cerebrovascular Diseases. 26(2). 403–410. 28 indexed citations
16.
Hage, Ziad A. & Fady T. Charbel. (2015). Clipping of bilateral MCA aneurysms and a coiled ACOM aneurysm through a modified lateral supraorbital craniotomy. Neurosurgical FOCUS. 38(videosuppl1). Video19–Video19. 4 indexed citations
17.
Alaraj, Ali, William W. Ashley, Fady T. Charbel, & Sepideh Amin‐Hanjani. (2008). The superficial temporal artery trunk as a donor vessel in cerebral revascularization: benefits and pitfalls. Neurosurgical FOCUS. 24(2). E7–E7. 49 indexed citations
18.
Ashley, William W., Sepideh Amin‐Hanjani, Ali Alaraj, John H. Shin, & Fady T. Charbel. (2008). Flow-assisted surgical cerebral revascularization. Neurosurgical FOCUS. 24(2). E20–E20. 37 indexed citations
19.
Charbel, Fady T., et al.. (1998). La position assise en neurochirurgie: le point de vue du chirurgien. Annales Françaises d Anesthésie et de Réanimation. 17(2). 160–163. 13 indexed citations
20.
Charbel, Fady T., et al.. (1997). CSF quantitative MRI analysis in Chiari I malformation. Skull base. 7. 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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