Sayed S. Daoud
- Oncology top 10%
- Cancer-related Molecular Pathways 10
- Hepatology top 10%
- Hepatitis C virus research 6
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- Cancer therapeutics and mechanisms 9
- DNA Repair Mechanisms 2
- Toxicology top 10%
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- Cancer, Hypoxia, and Metabolism 3
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- Liver Disease Diagnosis and Treatment 6
- Hepatitis B Virus Studies 4
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- Nanoparticle-Based Drug Delivery 4
- Co-authors
- R. L. JulianoSafia WasiMatthew M. YehDustin E. BoschAbdur RehmanYves PommierBeppino C. GiovanellaKyunghee Lee
- Cited by
- OncologyHepatologyMolecular Biology
- Journals
- Anti-Cancer Drugs (5 papers)Cancer Chemotherapy and Pharmacology (5 papers)International Journal of Oncology (2 papers)
- Partner nations
- United StatesEgyptCanada
In The Last Decade
Sayed S. Daoud
38 papers receiving 749 citations
Peers
Comparison fields: 5 of 97
- Oncology 294
- Hepatology 55
- Molecular Biology 459
- Toxicology 22
- Cancer Research 94
Countries citing papers authored by Sayed S. Daoud
This map shows the geographic impact of Sayed S. 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 Sayed S. Daoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayed S. Daoud more than expected).
Fields of papers citing papers by Sayed S. Daoud
This network shows the impact of papers produced by Sayed S. 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 Sayed S. Daoud. The network helps show where Sayed S. Daoud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sayed S. Daoud, 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 | 2022 | 2 | |
| 2 | 2020 | 6 | |
| 3 | 2013 | 34 | |
| 4 | 2011 | 21 | |
| 5 | PRIMA-1 induces apoptosis in p53 mutant breast cancer cell lines by inhibiting the JNK cell survival pathway and promoting the activation of proapoptotic p53 targets Bax and PUMA | 2006 | 2 |
| 6 | 2006 | 14 | |
| 7 | 2006 | 31 | |
| 8 | 2001 | 3 | |
| 9 | 2000 | 39 | |
| 10 | 1999 | 105 | |
| 11 | 1997 | 30 | |
| 12 | 1996 | 14 | |
| 13 | 1995 | 39 | |
| 14 | 1995 | 8 | |
| 15 | 1993 | 3 | |
| 16 | 1992 | 23 | |
| 17 | 1991 | 8 | |
| 18 | 1990 | 15 | |
| 19 | Modulation of doxorubicin resistance by valinomycin (NSC 122023) and liposomal valinomycin in Chinese hamster ovary cells. | 1989 | 20 |
| 20 | 1987 | 15 |
About Sayed S. Daoud
Sayed S. Daoud is a scholar working on Hepatology, Oncology and Microbiology, having authored 38 papers that have together received 771 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Cancer therapeutics and mechanisms (9 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis C virus research (6 papers), Nanoparticle-Based Drug Delivery (4 papers), Hepatitis B Virus Studies (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Oncology (294 citations), Hepatology (55 citations) and Molecular Biology (459 citations). Sayed S. Daoud has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include R. L. Juliano, Safia Wasi, Matthew M. Yeh, Dustin E. Bosch, Abdur Rehman, Yves Pommier, Beppino C. Giovanella, Kyunghee Lee, Xiaoting Tang and James E. Bruce. Their work appears in journals such as Anti-Cancer Drugs, Cancer Chemotherapy and Pharmacology, International Journal of Oncology, Biochemical and Biophysical Research Communications 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.