Maysa E. El‐Sayed
Impact in
- Cancer Research top 0.5%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 1%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
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- Breast Cancer Treatment Studies 16
-
- Breast Lesions and Carcinomas 11
- Co-authors
- Emad A. Rakha (19 shared papers)Ian O. Ellis (17 shared papers)Andrew R. Green (8 shared papers)Andrew H.S. Lee (9 shared papers)J.F.R. Robertson (2 shared papers)Roger W. Blamey (4 shared papers)Matthew J. Grainge (2 shared papers)Desmond G. Powe (3 shared papers)
- Journals
- Histopathology (4 papers)European Journal of Cancer (4 papers)Journal of Clinical Pathology (3 papers)Breast Cancer Research and Treatment (3 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United KingdomEgyptUnited States
In The Last Decade
Maysa E. El‐Sayed
19 papers receiving 2.9k citations
Maysa E. El‐Sayed's Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 1.9k
- Oncology 1.8k
- Pathology and Forensic Medicine 821
- Dermatology 217
- Genetics 423
Countries citing papers authored by Maysa E. El‐Sayed
This map shows the geographic impact of Maysa E. El‐Sayed'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 Maysa E. El‐Sayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maysa E. El‐Sayed more than expected).
Fields of papers citing papers by Maysa E. El‐Sayed
This network shows the impact of papers produced by Maysa E. El‐Sayed. 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 Maysa E. El‐Sayed. The network helps show where Maysa E. El‐Sayed may publish in the future.
Co-authors
The 25 scholars most cited alongside Maysa E. El‐Sayed, 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 | Prognostic markers in triple‐negative breast cancer Hit paper breakdown → | 2006 | 1039 |
| 2 | 2008 | 435 | |
| 3 | 2009 | 394 | |
| 4 | 2007 | 238 | |
| 5 | 2007 | 185 | |
| 6 | 2007 | 141 | |
| 7 | 2008 | 124 | |
| 8 | 2008 | 110 | |
| 9 | 2007 | 99 | |
| 10 | 2008 | 63 | |
| 11 | 2007 | 45 | |
| 12 | 2008 | 39 | |
| 13 | 2008 | 32 | |
| 14 | 2018 | 21 | |
| 15 | 2018 | 18 | |
| 16 | 2009 | 17 | |
| 17 | 2019 | 15 | |
| 18 | 2012 | 6 | |
| 19 | 2010 | 4 |
About Maysa E. El‐Sayed
Maysa E. El‐Sayed is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Artificial Intelligence and Molecular Biology, having authored 19 papers that have together received 3.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (11 papers), HER2/EGFR in Cancer Research (6 papers), AI in cancer detection (4 papers), Cancer and Skin Lesions (3 papers), Cancer-related Molecular Pathways (2 papers), Gene expression and cancer classification (2 papers) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (1.8k citations), Pathology and Forensic Medicine (821 citations), Dermatology (217 citations) and Genetics (423 citations). Maysa E. El‐Sayed has collaborated with scholars based in United Kingdom, Egypt and United States. Frequent co-authors include Emad A. Rakha, Ian O. Ellis, Andrew R. Green, Andrew H.S. Lee, J.F.R. Robertson, Roger W. Blamey, Matthew J. Grainge, Desmond G. Powe, Zsolt Hodi and C.W. Elston. Their work appears in journals such as Histopathology, European Journal of Cancer, Journal of Clinical Pathology, Breast Cancer Research and Treatment and Journal of Clinical Oncology.
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.