Khalid Al‐Dasuqi
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Cerebrovascular and Carotid Artery Diseases
- Sarcoma Diagnosis and Treatment
Papers in
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- Sarcoma Diagnosis and Treatment 5
- Cerebrovascular and Carotid Artery Diseases 5
-
- Bone Tumor Diagnosis and Treatments 3
- Co-authors
- Ajay Gupta (7 shared papers)Hediyeh Baradaran (6 shared papers)Hooman Kamel (5 shared papers)Diana Delgado (4 shared papers)Ashley E. Giambrone (3 shared papers)Ashley Knight‐Greenfield (2 shared papers)Gülce Askin (2 shared papers)Michele H. Johnson (2 shared papers)
- Journals
- Skeletal Radiology (5 papers)American Journal of Neuroradiology (4 papers)Journal of the American Heart Association (2 papers)Stroke (2 papers)Radiographics (1 paper)
- Partner nations
- United StatesUnited KingdomMalaysia
In The Last Decade
Khalid Al‐Dasuqi
17 papers receiving 410 citations
Peers
Comparison fields: 5 of 47
- Health Informatics 14
- Pulmonary and Respiratory Medicine 203
- Cardiology and Cardiovascular Medicine 110
- Epidemiology 114
- Neurology 49
Countries citing papers authored by Khalid Al‐Dasuqi
This map shows the geographic impact of Khalid Al‐Dasuqi'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 Khalid Al‐Dasuqi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Al‐Dasuqi more than expected).
Fields of papers citing papers by Khalid Al‐Dasuqi
This network shows the impact of papers produced by Khalid Al‐Dasuqi. 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 Khalid Al‐Dasuqi. The network helps show where Khalid Al‐Dasuqi may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Al‐Dasuqi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 85 | |
| 2 | 2017 | 76 | |
| 3 | 2018 | 61 | |
| 4 | 2020 | 45 | |
| 5 | 2017 | 29 | |
| 6 | 2019 | 24 | |
| 7 | 2022 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2017 | 12 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 0 |
About Khalid Al‐Dasuqi
Khalid Al‐Dasuqi is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Surgery, Neurology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 412 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Bone Tumor Diagnosis and Treatments (3 papers), Vascular Malformations and Hemangiomas (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Acute Ischemic Stroke Management (2 papers), Histiocytic Disorders and Treatments (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (14 citations), Pulmonary and Respiratory Medicine (203 citations), Cardiology and Cardiovascular Medicine (110 citations), Epidemiology (114 citations) and Neurology (49 citations). Khalid Al‐Dasuqi has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include Ajay Gupta, Hediyeh Baradaran, Hooman Kamel, Diana Delgado, Ashley E. Giambrone, Ashley Knight‐Greenfield, Gülce Askin, Michele H. Johnson, Gino Gialdini and Praneil Patel. Their work appears in journals such as Skeletal Radiology, American Journal of Neuroradiology, Journal of the American Heart Association, Stroke and Radiographics.
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.