Sayel Daoud

909 citations
18 papers · 702 · h-index 14

Impact in

Papers in

    • Saffron Plant Research Studies 4
    • Viral-associated cancers and disorders 4
    • Chemotherapy-induced organ toxicity mitigation 3
    • Lymphoma Diagnosis and Treatment 3

Sayel Daoud

18 papers receiving 658 citations

Peers

Sayel Daoud
Comparison fields: 5 of 103
  • Complementary and alternative medicine 80
  • Pharmacology 68
  • Oncology 200
  • Pathology and Forensic Medicine 129
  • Biochemistry 37
Replace Tae Young Oh with:
Tae Young Oh South Korea
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Daryoush Mohajeri Iran
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Shen Ren China
Volkan Gelen Türkiye
Norleena Gullett United States
Ayman El-Meghawry El-Kenawy Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Sayel Daoud

Since Specialization
Citations

This map shows the geographic impact of Sayel Daoud'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 Sayel Daoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayel Daoud more than expected).

Fields of papers citing papers by Sayel Daoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayel Daoud. 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 Sayel Daoud. The network helps show where Sayel Daoud may publish in the future.

Co-authors

The 25 scholars most cited alongside Sayel Daoud, 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 Sayel Daoud Line = papers co-authored together Sayel Daoud links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2011152
2 2005122
3 201566
4 200864
5 201252
6 200645
7 201236
8 200830
9 201228
10 201125
11 201119
12 202318
13
Epstein-Barr virus infection correlates with the expression of COX-2, p16(INK4A) and p53 in classic Hodgkin lymphoma.
201314
14 200713
15 202311
16 20245
17
Saffron: A potential target for a novel anticancer drug against hepatocellular carcinoma
20131
18 20161

About Sayel Daoud

Sayel Daoud is a scholar working on Oncology, Pathology and Forensic Medicine, Complementary and alternative medicine, Surgery and Biomaterials, having authored 18 papers that have together received 702 indexed citations. Recurring topics across this work include Saffron Plant Research Studies (4 papers), Viral-associated cancers and disorders (4 papers), Chemotherapy-induced organ toxicity mitigation (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Corneal Surgery and Treatments (2 papers) and Ginkgo biloba and Cashew Applications (2 papers). The work is most often cited by research in Complementary and alternative medicine (80 citations), Pharmacology (68 citations), Oncology (200 citations), Pathology and Forensic Medicine (129 citations) and Biochemistry (37 citations). Sayel Daoud has collaborated with scholars based in United Arab Emirates, Egypt and United States. Frequent co-authors include Amr Amin, Alaaeldin Ahmed Hamza, Khuloud Bajbouj, S. M. Ashraf, Suhail Al‐Salam, Waleed Hamza, Doaa Mahmoud‐Ghoneim, Muhammed I. Syam, Antonio Castella and Ala’a Al Hrout. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Hepatology, International Journal of Pediatric Otorhinolaryngology, American Journal of Pharmacology and Toxicology and 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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