Saı̈d M. Sebti

20.7k citations
250 papers · 16.7k indexed · 1 hit paper · h-index 73
  • Oncology top 0.2%
    • Cancer-related Molecular Pathways 75
    • Cytokine Signaling Pathways and Interactions 30
    • Peptidase Inhibition and Analysis 18
    • 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%
  • Immunology top 1%

Saı̈d M. Sebti

248 papers receiving 16.4k citations

Hit Papers

Selective chemical probe inhibitor of Stat3, identified t...6162007202620132019200400600

Peers

Saı̈d M. Sebti
Comparison fields: 5 of 137
  • Oncology 6.7k
  • Molecular Biology 11.0k
  • Toxicology 467
  • Cancer Research 2.0k
  • Immunology 2.1k
Replace Robert Roskoski with:
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Saı̈d M. Sebti relative to Robert Roskoski United States Robert Roskoski's profile →
Citations per field
00.5×2.6×
Robert Roskoski · 1×
Citations per year

Countries citing papers authored by Saı̈d M. Sebti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Saı̈d M. Sebti Line = papers co-authored together Saı̈d M. Sebti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202125
3 202115
4 202048
5 201953
6 2013122
7 20136
8 201215
9 2012123
10 201155
11 200951
12 200845
13
Delta-tocotrienol is the most bioactive natural tocotrienol in the prevention of pancreatic cancer transformation
20082
14 200654
15 2005166
16 2005135
17 2004360
18 200319
19 1999226
20
Farnesyltransferase inhibitors: Anti-Ras drugs for cancer treatment
19962

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.

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