Saı̈d M. Sebti

20.7k citations
250 papers · 16.7k indexed · 1 hit paper · h-index 73
Topics
Cancer-related Molecular Pathways (75 papers)Protein Kinase Regulation and GTPase Signaling (59 papers)PI3K/AKT/mTOR signaling in cancer (45 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Saı̈d M. Sebti

248 papers receiving 16.4k citations

Hit Papers

Selective chemical probe inhibitor of Stat3, identified t...20072026201320192007200400600

Peers

Saı̈d M. Sebti
Comparison fields: 5 of 137
  • Molecular Biology 11.0k
  • Oncology 6.7k
  • Immunology 2.1k
  • Cancer Research 2.0k
  • Organic Chemistry 1.8k
Replace Robert Roskoski with:
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Saı̈d M. Sebti relative to Robert Roskoski United States Robert Roskoski's profile →
Citations per field
00.5×1.7×
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 of co-authors of Saı̈d M. Sebti

This figure shows the co-authorship network connecting the top 25 collaborators of Saı̈d M. Sebti. A scholar is included among the top collaborators of Saı̈d M. Sebti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saı̈d M. Sebti. Saı̈d M. Sebti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 25
3 15
4 48
5 53
6 122
7 6
8 15
9 123
10 55
11 51
12 45
13
Delta-tocotrienol is the most bioactive natural tocotrienol in the prevention of pancreatic cancer transformation
2
14 54
15 166
16 135
17 360
18 19
19 226
20
Farnesyltransferase inhibitors: Anti-Ras drugs for cancer treatment
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) and PI3K/AKT/mTOR signaling in cancer (45 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 Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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