Saı̈d M. Sebti
- Oncology top 0.2%
- Cancer-related Molecular Pathways 75
- Cytokine Signaling Pathways and Interactions 30
- Peptidase Inhibition and Analysis 18
- Molecular Biology top 0.2%
- Protein Kinase Regulation and GTPase Signaling 59
- PI3K/AKT/mTOR signaling in cancer 45
- Ubiquitin and proteasome pathways 41
- Melanoma and MAPK Pathways 22
- Cell death mechanisms and regulation 18
- Toxicology top 0.2%
- Cancer Research top 0.5%
- Immunology top 1%
- Co-authors
- Andrew D. HamiltonJiazhi SunYimin QianMichelle A. BlaskovichRichard JoveJames TurksonNicholas J. LawrenceNorbert Berndt
- Cited by
- OncologyMolecular BiologyToxicology
- Partner nations
- United StatesChinaFrance
In The Last Decade
Saı̈d M. Sebti
248 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Oncology 6.7k
- Molecular Biology 11.0k
- Toxicology 467
- Cancer Research 2.0k
- Immunology 2.1k
Countries citing papers authored by Saı̈d M. Sebti
This map shows the geographic impact of Saı̈d M. Sebti'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 Saı̈d M. Sebti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saı̈d M. Sebti more than expected).
Fields of papers citing papers by Saı̈d M. Sebti
This network shows the impact of papers produced by Saı̈d M. Sebti. 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 Saı̈d M. Sebti. The network helps show where Saı̈d M. Sebti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saı̈d M. Sebti, 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 | 2025 | 1 | |
| 2 | 2021 | 25 | |
| 3 | 2021 | 15 | |
| 4 | 2020 | 48 | |
| 5 | 2019 | 53 | |
| 6 | 2013 | 122 | |
| 7 | 2013 | 6 | |
| 8 | 2012 | 15 | |
| 9 | 2012 | 123 | |
| 10 | 2011 | 55 | |
| 11 | 2009 | 51 | |
| 12 | 2008 | 45 | |
| 13 | Delta-tocotrienol is the most bioactive natural tocotrienol in the prevention of pancreatic cancer transformation | 2008 | 2 |
| 14 | 2006 | 54 | |
| 15 | 2005 | 166 | |
| 16 | 2005 | 135 | |
| 17 | 2004 | 360 | |
| 18 | 2003 | 19 | |
| 19 | 1999 | 226 | |
| 20 | Farnesyltransferase inhibitors: Anti-Ras drugs for cancer treatment | 1996 | 2 |
About Saı̈d M. Sebti
Saı̈d M. Sebti is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 250 papers that have together received 16.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (75 papers), Protein Kinase Regulation and GTPase Signaling (59 papers), PI3K/AKT/mTOR signaling in cancer (45 papers), Ubiquitin and proteasome pathways (41 papers), Cytokine Signaling Pathways and Interactions (30 papers), Melanoma and MAPK Pathways (22 papers), Cell death mechanisms and regulation (18 papers) and Peptidase Inhibition and Analysis (18 papers). The work is most often cited by research in Oncology (6.7k citations), Molecular Biology (11.0k citations) and Toxicology (467 citations). Saı̈d M. Sebti has collaborated with scholars based in United States, China and France. Frequent co-authors include Andrew D. Hamilton, Jiazhi Sun, Yimin Qian, Michelle A. Blaskovich, Richard Jove, James Turkson, Nicholas J. Lawrence, Norbert Berndt, Harshani R. Lawrence and Domenico Coppola. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Oncogene, Blood and Journal of Medicinal Chemistry.
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.