Sherine Salama
- Artificial Intelligence top 10%
- Endocrinology, Diabetes and Metabolism
- Radiology, Nuclear Medicine and Imaging
- Oncology
- Computer Vision and Pattern Recognition
- Co-authors
- Sharon Nofech‐MozesAnne L. MartelMohammad PeikariHans-Juergen SchultenMamdooh GariJaudah Al‐MaghrabiShazia AkbarKhalid Alghamdi
- Topics
- AI in cancer detection (6 papers)Digital Imaging for Blood Diseases (3 papers)Cancer-related Molecular Pathways (3 papers)
- Partner nations
- CanadaSaudi ArabiaUnited States
In The Last Decade
Sherine Salama
13 papers receiving 311 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 126
- Endocrinology, Diabetes and Metabolism 92
- Radiology, Nuclear Medicine and Imaging 87
- Oncology 59
- Computer Vision and Pattern Recognition 52
Countries citing papers authored by Sherine Salama
This map shows the geographic impact of Sherine Salama'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 Sherine Salama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherine Salama more than expected).
Fields of papers citing papers by Sherine Salama
This network shows the impact of papers produced by Sherine Salama. 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 Sherine Salama. The network helps show where Sherine Salama may publish in the future.
Co-authorship network of co-authors of Sherine Salama
This figure shows the co-authorship network connecting the top 25 collaborators of Sherine Salama. A scholar is included among the top collaborators of Sherine Salama 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 Sherine Salama. Sherine Salama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 9 | |
| 3 | 105 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 23 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | Comprehensive survey of HRAS, KRAS, and NRAS mutations in proliferative thyroid lesions from an ethnically diverse population. | 37 |
| 10 | 37 | |
| 11 | Mutational screening of RET, HRAS, KRAS, NRAS, BRAF, AKT1, and CTNNB1 in medullary thyroid carcinoma. | 36 |
| 12 | Leiomyosarcoma of the Gallbladder | 1 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 9 |
About Sherine Salama
Sherine Salama is a scholar working on Biophysics, Dermatology and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 320 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Digital Imaging for Blood Diseases (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (92 citations), Biophysics (29 citations) and Health Informatics (6 citations). Sherine Salama has collaborated with scholars based in Canada, Saudi Arabia and United States. Frequent co-authors include Sharon Nofech‐Mozes, Anne L. Martel, Mohammad Peikari, Hans-Juergen Schulten, Mamdooh Gari, Jaudah Al‐Maghrabi, Shazia Akbar, Khalid Alghamdi, Etimad Huwait and Mohammed Al‐Qahtani. Their work appears in journals such as Scientific Reports, CHEST Journal and American Journal of Clinical Pathology.
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.