Nabil Elshafeey
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 16
- MRI in cancer diagnosis 5
- Medical Imaging Techniques and Applications 3
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Rivka R. Colen (18 shared papers)Pascal O. Zinn (12 shared papers)Islam Hassan (10 shared papers)Aikaterini Kotrotsou (10 shared papers)Gregory N. Fuller (3 shared papers)Sara Ahmed (4 shared papers)Fanny Morón (3 shared papers)Srishti Abrol (5 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Neuro-Oncology (3 papers)Journal of Neuro-Oncology (2 papers)Neurosurgery (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesSwitzerlandEgypt
In The Last Decade
Nabil Elshafeey
23 papers receiving 422 citations
Peers
Comparison fields: 5 of 51
- Genetics 142
- Radiology, Nuclear Medicine and Imaging 219
- Health Informatics 14
- Modeling and Simulation 15
- Cancer Research 39
Countries citing papers authored by Nabil Elshafeey
This map shows the geographic impact of Nabil Elshafeey'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 Nabil Elshafeey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabil Elshafeey more than expected).
Fields of papers citing papers by Nabil Elshafeey
This network shows the impact of papers produced by Nabil Elshafeey. 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 Nabil Elshafeey. The network helps show where Nabil Elshafeey may publish in the future.
Co-authors
The 25 scholars most cited alongside Nabil Elshafeey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 121 | |
| 2 | 2018 | 86 | |
| 3 | 2022 | 46 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 19 | |
| 7 | 2017 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2016 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2017 | 10 | |
| 12 | 2017 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2018 | 4 | |
| 16 | 2017 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2018 | 1 |
About Nabil Elshafeey
Nabil Elshafeey is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine, Molecular Biology and Health Informatics, having authored 23 papers that have together received 424 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), Glioma Diagnosis and Treatment (8 papers), MRI in cancer diagnosis (5 papers), Medical Imaging Techniques and Applications (3 papers), RNA modifications and cancer (3 papers), Cancer Genomics and Diagnostics (2 papers), Advanced X-ray and CT Imaging (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Genetics (142 citations), Radiology, Nuclear Medicine and Imaging (219 citations), Health Informatics (14 citations), Modeling and Simulation (15 citations) and Cancer Research (39 citations). Nabil Elshafeey has collaborated with scholars based in United States, Switzerland and Egypt. Frequent co-authors include Rivka R. Colen, Pascal O. Zinn, Islam Hassan, Aikaterini Kotrotsou, Gregory N. Fuller, Sara Ahmed, Fanny Morón, Srishti Abrol, Jason T. Huse and Meng Law. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Journal of Neuro-Oncology, Neurosurgery and Clinical Cancer Research.
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.