Maysa E. El‐Sayed

4.0k citations
19 papers · 3.0k indexed · 1 hit paper · h-index 16
Topics
Breast Cancer Treatment Studies (16 papers)Breast Lesions and Carcinomas (11 papers)HER2/EGFR in Cancer Research (6 papers)

In The Last Decade

Maysa E. El‐Sayed

19 papers receiving 2.9k citations

Hit Papers

Prognostic markers in triple‐negative breast cancer200620262012201920062505007501000

Peers

Maysa E. El‐Sayed
Comparison fields: 5 of 94
  • Cancer Research 1.9k
  • Oncology 1.8k
  • Pathology and Forensic Medicine 821
  • Molecular Biology 812
  • Pulmonary and Respiratory Medicine 471
Replace Magali Lacroix‐Triki with:
Magali Lacroix‐Triki France
Bas Kreike Netherlands
Claire E. Paish United Kingdom
Felipe C. Geyer United Kingdom
Forrest D. Hsu Canada
Kenzo Shimazu Japan
Mohammed A. Aleskandarany United Kingdom
Aye Aye Thike Singapore
Lynda Sawyer United States
Jacqueline Snider United States
Maysa E. El‐Sayed relative to Magali Lacroix‐Triki France Magali Lacroix‐Triki's profile →
Citations per field
00.5×1.5×
Magali Lacroix‐Triki · 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-authorship network of co-authors of Maysa E. El‐Sayed

This figure shows the co-authorship network connecting the top 25 collaborators of Maysa E. El‐Sayed. A scholar is included among the top collaborators of Maysa E. El‐Sayed 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 Maysa E. El‐Sayed. Maysa E. El‐Sayed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 15
2 18
3 21
4 6
5 4
6 394
7 17
8 63
9 39
10 110
11 124
12 32
13 435
14 185
15 141
16 99
17 45
18 238
19
Prognostic markers in triple‐negative breast cancerbreakdown →
1039

About Maysa E. El‐Sayed

Maysa E. El‐Sayed is a scholar working on Cancer Research, Pathology and Forensic Medicine and Dermatology, 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) and HER2/EGFR in Cancer Research (6 papers). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (1.8k citations) and Pathology and Forensic Medicine (821 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 Journal of Clinical Oncology, Cancer 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.

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