Maysa E. El‐Sayed

4.0k citations
19 papers · 3.2k · 1 hit paper · h-index 17

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 2%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

Maysa E. El‐Sayed

19 papers receiving 3.1k citations

Maysa E. El‐Sayed's Hit Papers

Prognostic markers in triple‐negative breast cancer 2006 · 1.1k citations
1.1k0+6+13Years since publication2505007501000

Peers

Maysa E. El‐Sayed
Comparison fields: 5 of 89
  • Cancer Research 1.5k
  • Oncology 1.3k
  • Pathology and Forensic Medicine 553
  • Dermatology 164
  • Pulmonary and Respiratory Medicine 338
Replace Forrest D. Hsu with:
Forrest D. Hsu United States
Claire E. Paish United Kingdom
Rita A. Sakr United States
Bas Kreike Netherlands
J. S. Reis-Filho United Kingdom
Véronique Becette France
Kenzo Shimazu Japan
Lynda Sawyer United States
Mohammed A. Aleskandarany United Kingdom
Diana M. Barnes United Kingdom
Maysa E. El‐Sayed relative to Forrest D. Hsu United States Forrest D. Hsu's profile →
Citations per field
00.5×2.5×
Forrest D. Hsu · 1×
Citations per year

Countries citing papers authored by Maysa E. El‐Sayed

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Maysa E. El‐Sayed Line = papers co-authored together Maysa E. El‐Sayed links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Prognostic markers in triple‐negative breast cancer
Hit paper breakdown →
20061068
2 2008462
3 2009409
4 2007246
5 2007202
6 2007143
7 2008127
8 2008120
9 2007114
10 200866
11 200749
12 200843
13 200833
14 201821
15 200920
16 201819
17 201916
18 20126
19 20105

About Maysa E. El‐Sayed

Maysa E. El‐Sayed is a scholar working on Cancer Research, Pathology and Forensic Medicine, Molecular Biology, Oncology and Artificial Intelligence, having authored 19 papers that have together received 3.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (6 papers), Gene expression and cancer classification (2 papers), AI in cancer detection (2 papers), Nonmelanoma Skin Cancer Studies (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Cancer Cells and Metastasis (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (1.3k citations), Pathology and Forensic Medicine (553 citations), Dermatology (164 citations) and Pulmonary and Respiratory Medicine (338 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.

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