Rania Abdelkhaleq

488 total citations
26 papers, 211 citations indexed

About

Rania Abdelkhaleq is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Rehabilitation. According to data from OpenAlex, Rania Abdelkhaleq has authored 26 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Rehabilitation. Recurrent topics in Rania Abdelkhaleq's work include Acute Ischemic Stroke Management (19 papers), Stroke Rehabilitation and Recovery (7 papers) and Cerebrovascular and Carotid Artery Diseases (7 papers). Rania Abdelkhaleq is often cited by papers focused on Acute Ischemic Stroke Management (19 papers), Stroke Rehabilitation and Recovery (7 papers) and Cerebrovascular and Carotid Artery Diseases (7 papers). Rania Abdelkhaleq collaborates with scholars based in United States, United Kingdom and Israel. Rania Abdelkhaleq's co-authors include Sunil A. Sheth, Luca Giancardo, Youngran Kim, Sergio Salazar‐Marioni, Louise D. McCullough, James C. Grotta, Sean I. Savitz, Babak B. Navi, Farhaan Vahidy and Alexandra L. Czap and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Scientific Reports.

In The Last Decade

Rania Abdelkhaleq

24 papers receiving 204 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rania Abdelkhaleq United States 8 136 71 63 40 37 26 211
Sarah Elsayed Germany 8 147 1.1× 74 1.0× 100 1.6× 22 0.6× 22 0.6× 21 203
Sergio Salazar‐Marioni United States 7 93 0.7× 37 0.5× 51 0.8× 25 0.6× 16 0.4× 26 184
Ana Aires Portugal 8 194 1.4× 87 1.2× 106 1.7× 29 0.7× 70 1.9× 13 296
Tadashi Sunohara Japan 8 130 1.0× 100 1.4× 86 1.4× 26 0.7× 24 0.6× 24 253
Santiago Rosati Spain 9 132 1.0× 92 1.3× 62 1.0× 27 0.7× 54 1.5× 26 203
Francesco Biraschi Italy 7 77 0.6× 60 0.8× 46 0.7× 10 0.3× 17 0.5× 16 136
André Lima Batista Canada 10 212 1.6× 156 2.2× 208 3.3× 19 0.5× 78 2.1× 18 360
Peter Ringleb Germany 5 128 0.9× 127 1.8× 46 0.7× 18 0.5× 31 0.8× 7 233
Ulf Neuberger Germany 12 390 2.9× 241 3.4× 209 3.3× 61 1.5× 96 2.6× 28 470

Countries citing papers authored by Rania Abdelkhaleq

Since Specialization
Citations

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

Fields of papers citing papers by Rania Abdelkhaleq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rania Abdelkhaleq

This figure shows the co-authorship network connecting the top 25 collaborators of Rania Abdelkhaleq. A scholar is included among the top collaborators of Rania Abdelkhaleq 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 Rania Abdelkhaleq. Rania Abdelkhaleq 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.
Martínez-Gutiérrez, Juan Carlos, Sergio Salazar‐Marioni, Rania Abdelkhaleq, et al.. (2024). Hyperglycemia Is Associated With Computed Tomography Perfusion Core Volume Underestimation in Patients With Acute Ischemic Stroke With Large‐Vessel Occlusion. SHILAP Revista de lepidopterología. 4(4). 3 indexed citations
2.
Kim, Youngran, Mohammad Rauf Chaudhry, Sergio Salazar‐Marioni, et al.. (2024). Machine Learning–Enabled Automated Large Vessel Occlusion Detection Improves Transfer Times at Primary Stroke Centers. SHILAP Revista de lepidopterología. 4(3). e001119–e001119. 4 indexed citations
3.
Salazar‐Marioni, Sergio, Rania Abdelkhaleq, Muhammad Bilal Tariq, et al.. (2024). System-level trends in ischemic stroke admissions after adding endovascular stroke capabilities in community hospitals. Journal of NeuroInterventional Surgery. 17(10). 1107–1112.
4.
Tariq, Muhammad Bilal, et al.. (2023). Endovascular Stroke Therapy for Posterior Circulation Acute Ischemic Stroke Has Diminishing Benefit with Additional Passes. SHILAP Revista de lepidopterología. 3(3). e000663–e000663. 1 indexed citations
5.
Coronado, Ivan, Samiksha Pachade, Emanuele Trucco, et al.. (2023). Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks. Scientific Reports. 13(1). 15325–15325. 3 indexed citations
6.
Tariq, Muhammad Bilal, Sergio Salazar‐Marioni, Víctor A. López, et al.. (2023). Women With Large Vessel Occlusion Acute Ischemic Stroke Are Less Likely to Be Routed to Comprehensive Stroke Centers. Journal of the American Heart Association. 12(14). e029830–e029830. 3 indexed citations
7.
Giancardo, Luca, et al.. (2023). Segmentation of acute stroke infarct core using image-level labels on CT-angiography. NeuroImage Clinical. 37. 103362–103362. 6 indexed citations
8.
Martínez-Gutiérrez, Juan Carlos, Youngran Kim, Sergio Salazar‐Marioni, et al.. (2023). Automated Large Vessel Occlusion Detection Software and Thrombectomy Treatment Times. JAMA Neurology. 80(11). 1182–1182. 34 indexed citations
9.
Pachade, Samiksha, Surabhi Datta, Yi Dong, et al.. (2023). Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images. PubMed. 2023. 1–5. 3 indexed citations
10.
11.
Abdelkhaleq, Rania, et al.. (2023). Machine Learning–Enabled Detection of Unruptured Cerebral Aneurysms Improves Detection Rates and Clinical Care. SHILAP Revista de lepidopterología. 3(6). e000938–e000938. 3 indexed citations
12.
Pachade, Samiksha, Ivan Coronado, Rania Abdelkhaleq, et al.. (2022). Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus Imaging. Journal of Clinical Medicine. 11(24). 7408–7408. 14 indexed citations
13.
Salazar‐Marioni, Sergio, Rania Abdelkhaleq, Sean I. Savitz, et al.. (2021). Integrated Stroke System Model Expands Availability of Endovascular Therapy While Maintaining Quality Outcomes. Stroke. 52(3). 1022–1029. 4 indexed citations
14.
Kim, Youngran, et al.. (2021). Predicting In-hospital Mortality Using D-Dimer in COVID-19 Patients With Acute Ischemic Stroke. Frontiers in Neurology. 12. 702927–702927. 5 indexed citations
15.
Dono, Antonio, Cole T. Lewis, Ankush Chandra, et al.. (2021). Extent of resection and survival outcomes of geriatric patients with glioblastoma: Is there benefit from aggressive surgery?. Clinical Neurology and Neurosurgery. 202. 106474–106474. 16 indexed citations
16.
Abdelkhaleq, Rania, Youngran Kim, Peter Kan, et al.. (2021). Automated prediction of final infarct volume in patients with large-vessel occlusion acute ischemic stroke. Neurosurgical FOCUS. 51(1). E13–E13. 10 indexed citations
17.
Lee, Songmi, Youngran Kim, Babak B. Navi, et al.. (2020). Risk of intracranial hemorrhage associated with pregnancy in women with cerebral arteriovenous malformations. Journal of NeuroInterventional Surgery. 13(8). 707–710. 14 indexed citations
18.
Abdelkhaleq, Rania, José‐Miguel Yamal, Noopur Singh, et al.. (2020). Impact of Initial Imaging Protocol on Likelihood of Endovascular Stroke Therapy. Stroke. 51(10). 3055–3063. 21 indexed citations
19.
Dono, Antonio, Rania Abdelkhaleq, Sunil A. Sheth, et al.. (2020). Treatment trends and overall survival in patients with grade II/III ependymoma: The role of tumor grade and location. Clinical Neurology and Neurosurgery. 199. 106282–106282. 13 indexed citations
20.
Dono, Antonio, Ankush Chandra, Cole T. Lewis, et al.. (2020). Predictors of outcome in pleomorphic xanthoastrocytoma. Neuro-Oncology Practice. 8(2). 222–229. 5 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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