Maysa E. El‐Sayed

20 papers receiving 3.2k citations

Maysa E. El‐Sayed's Hit Papers

Prognostic markers in triple‐negative breast cancer 2006 · 1.1k citations
1.1k0+6+13Years since publication2505007501k

Peers

Maysa E. El‐Sayed
Comparison fields: 5 of 81
  • Cancer Research 2.1k
  • Pathology and Forensic Medicine 596
  • Oncology 380
  • Genetics 214
  • Radiology, Nuclear Medicine and Imaging 138
Replace Dalia M. Abd El‐Rehim with:
Dalia M. Abd El‐Rehim Egypt
Forrest D. Hsu Canada
Lynda Sawyer United States
Marina Parton United Kingdom
Keith Anderson United States
Jeannine Geneix France
Angel Augusto Rodriguez United States
Rabiul Islam United States
Rosalía Caballero Spain
Yi‐Rong Liu China
Maysa E. El‐Sayed relative to Dalia M. Abd El‐Rehim Egypt Dalia M. Abd El‐Rehim's profile →
Citations per field
00.5×2×2.8×
Dalia M. Abd El‐Rehim · 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

20 of 20 papers shown
#Work
1
Prognostic markers in triple‐negative breast cancer
Hit paper breakdown →
20061092
2 2008485
3 2009419
4 2007259
5 2007214
6 2007144
7 2008128
8 2008123
9 2007119
10 200864
11 200846
12 200745
13 200836
14 201824
15 201824
16 200922
17 201919
18 201911
19 20107
20 20126

About Maysa E. El‐Sayed

Maysa E. El‐Sayed is a scholar working on Cancer Research, Pathology and Forensic Medicine, Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Physiology, having authored 20 papers that have together received 3.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (10 papers), Clinical Laboratory Practices and Quality Control (1 paper), Gallbladder and Bile Duct Disorders (1 paper), Enhanced Recovery After Surgery (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), BRCA gene mutations in cancer (1 paper) and Reliability and Agreement in Measurement (1 paper). The work is most often cited by research in Cancer Research (2.1k citations), Pathology and Forensic Medicine (596 citations), Oncology (380 citations), Genetics (214 citations) and Radiology, Nuclear Medicine and Imaging (138 citations). Maysa E. El‐Sayed has collaborated with scholars based in United Kingdom, Egypt and Canada. Frequent co-authors include Emad A. Rakha, Ian Ogilvie Ellis, Andrew H.S. Lee, Andrew R. Green, John F.R. Robertson, Roger W. Blamey, Matthew J. Grainge, Desmond George 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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