Dos D. Sarbassov
- Molecular Biology top 0.2%
- Immunology top 1%
- Cell Biology top 0.5%
- Oncology top 1%
- Epidemiology top 1%
- Co-authors
- David M. SabatiniSiraj M. AliDavid A. GuertinRobert LatekPaul TempstHediye Erdjument‐BromageDo‐Hyung KimJessie E. King
- Topics
- PI3K/AKT/mTOR signaling in cancer (25 papers)Protein Kinase Regulation and GTPase Signaling (13 papers)Metabolism, Diabetes, and Cancer (7 papers)
- Cited by
- AgingMolecular BiologyCell Biology
- Partner nations
- United StatesKazakhstanTaiwan
In The Last Decade
Dos D. Sarbassov
50 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 12.8k
- Immunology 2.0k
- Cell Biology 1.9k
- Oncology 1.8k
- Epidemiology 1.6k
Countries citing papers authored by Dos D. Sarbassov
This map shows the geographic impact of Dos D. Sarbassov'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 Dos D. Sarbassov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dos D. Sarbassov more than expected).
Fields of papers citing papers by Dos D. Sarbassov
This network shows the impact of papers produced by Dos D. Sarbassov. 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 Dos D. Sarbassov. The network helps show where Dos D. Sarbassov may publish in the future.
Co-authorship network of co-authors of Dos D. Sarbassov
This figure shows the co-authorship network connecting the top 25 collaborators of Dos D. Sarbassov. A scholar is included among the top collaborators of Dos D. Sarbassov 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 Dos D. Sarbassov. Dos D. Sarbassov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 56 | |
| 11 | 67 | |
| 12 | 108 | |
| 13 | The PI3K/Akt/mTOR signaling pathway | 1 |
| 14 | 41 | |
| 15 | 57 | |
| 16 | Phosphorylation and Regulation of Akt/PKB by the Rictor-mTOR Complexbreakdown → | 5211 |
| 17 | Rictor, a Novel Binding Partner of mTOR, Defines a Rapamycin-Insensitive and Raptor-Independent Pathway that Regulates the Cytoskeletonbreakdown → | 2141 |
| 18 | mTOR Interacts with Raptor to Form a Nutrient-Sensitive Complex that Signals to the Cell Growth Machinerybreakdown → | 2398 |
| 19 | 10 | |
| 20 | 71 |
About Dos D. Sarbassov
Dos D. Sarbassov is a scholar working on Anatomy, Toxicology and Molecular Biology, having authored 53 papers that have together received 16.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (25 papers), Protein Kinase Regulation and GTPase Signaling (13 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Aging (388 citations), Molecular Biology (12.8k citations) and Cell Biology (1.9k citations). Dos D. Sarbassov has collaborated with scholars based in United States, Kazakhstan and Taiwan. Frequent co-authors include David M. Sabatini, Siraj M. Ali, David A. Guertin, Robert Latek, Paul Tempst, Hediye Erdjument‐Bromage, Do‐Hyung Kim, Jessie E. King, Shomit Sengupta and Andrew L. Markhard. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.