Dos D. Sarbassov

20.0k total citations · 6 hit papers
53 papers, 16.1k citations indexed

About

Dos D. Sarbassov is a scholar working on Molecular Biology, Oncology and Nutrition and Dietetics. According to data from OpenAlex, Dos D. Sarbassov has authored 53 papers receiving a total of 16.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Nutrition and Dietetics. Recurrent topics in Dos D. Sarbassov's 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). Dos D. Sarbassov is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (25 papers), Protein Kinase Regulation and GTPase Signaling (13 papers) and Metabolism, Diabetes, and Cancer (7 papers). Dos D. Sarbassov collaborates with scholars based in United States, Kazakhstan and Taiwan. Dos D. Sarbassov's co-authors include David M. Sabatini, Siraj M. Ali, David A. Guertin, Paul Tempst, Do‐Hyung Kim, Hediye Erdjument‐Bromage, Robert Latek, Jessie E. King, Andrew L. Markhard and Shomit Sengupta and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Dos D. Sarbassov

50 papers receiving 16.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Phosphorylation and Regulation of Akt/PKB by the Rictor-mTOR Complex

2005 5.2k citations Dos D. Sarbassov, David A. Guertin et al. Science profile →
mTOR Interacts with Raptor to Form a Nutrient-Sensitive Complex that Signals to the Cell Growth Machinery

2002 2.4k citations Do‐Hyung Kim, Dos D. Sarbassov et al. Cell profile →
Rictor, a Novel Binding Partner of mTOR, Defines a Rapamycin-Insensitive and Raptor-Independent Pathway that Regulates the Cytoskeleton

2004 2.1k citations Dos D. Sarbassov, Siraj M. Ali et al. profile →
Prolonged Rapamycin Treatment Inhibits mTORC2 Assembly and Akt/PKB

2006 2.1k citations Dos D. Sarbassov, Siraj M. Ali et al. Molecular Cell profile →
Growing roles for the mTOR pathway

2005 1.3k citations Dos D. Sarbassov, Siraj M. Ali et al. profile →
GβL, a Positive Regulator of the Rapamycin-Sensitive Pathway Required for the Nutrient-Sensitive Interaction between Raptor and mTOR

2003 772 citations Do‐Hyung Kim, Dos D. Sarbassov et al. Molecular Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dos D. Sarbassov United States	26	12.8k	2.0k	1.9k	1.8k	1.6k	53	16.1k
Sara C. Kozma United States	54	12.0k 0.9×	2.0k 1.0×	1.7k 0.9×	2.0k 1.1×	1.5k 0.9×	97	16.5k
Ken Inoki United States	56	12.9k 1.0×	1.6k 0.8×	2.4k 1.3×	1.5k 0.9×	3.4k 2.1×	92	17.9k
Boudewijn Burgering Netherlands	64	17.6k 1.4×	2.4k 1.2×	2.1k 1.1×	3.9k 2.2×	1.4k 0.9×	155	22.7k
Alex Toker United States	73	15.1k 1.2×	2.3k 1.1×	3.7k 2.0×	3.1k 1.7×	943 0.6×	136	20.5k
Robbie Loewith Switzerland	41	12.2k 0.9×	1.3k 0.6×	2.6k 1.4×	1.0k 0.6×	1.6k 1.0×	67	15.4k
Karen C. Arden United States	44	11.6k 0.9×	2.1k 1.1×	1.0k 0.5×	2.1k 1.2×	924 0.6×	77	15.0k
Andrius Kazlauskas United States	60	9.8k 0.8×	2.3k 1.2×	2.2k 1.2×	2.4k 1.3×	610 0.4×	188	15.1k
George Thomas Switzerland	83	18.4k 1.4×	1.9k 1.0×	2.9k 1.5×	3.0k 1.7×	1.9k 1.2×	162	24.4k
Michael Leitges United States	66	7.2k 0.6×	3.0k 1.5×	1.3k 0.7×	1.5k 0.8×	763 0.5×	237	12.7k
Carson C. Thoreen United States	25	10.3k 0.8×	1.2k 0.6×	1.9k 1.0×	1.0k 0.6×	1.8k 1.1×	36	12.7k

Countries citing papers authored by Dos D. Sarbassov

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kairov, Ulykbek, et al.. (2025). Whole-Genome Sequencing of a Potentially Novel Aeromonas Species Isolated from Diseased Siberian Sturgeon (Acipenser baerii) Using Oxford Nanopore Sequencing. Microorganisms. 13(7). 1680–1680.

Akilzhanova, Ainur, et al.. (2025). The Adaptation of Cancer Cells to Serum Deprivation Is Mediated by mTOR-Dependent Cholesterol Synthesis. International Journal of Molecular Sciences. 26(22). 10932–10932.

Molnár, Ferdinand, et al.. (2025). Oxidative stress induces cortical stiffening and cytoskeletal remodelling in pre-apoptotic cancer cells. PubMed. 9. 182–193. 1 indexed citations

Kozhamkulov, Ulan, Аlmagul Kushugulova, Sholpan Askarova, et al.. (2025). Genomic landscape of the Great Steppe: Genetic variants in healthy Kazakh individuals. Scientific Data. 12(1). 1679–1679.

Kozhamkulov, Ulan, et al.. (2024). Whole genome sequencing and de novo genome assembly of the Kazakh native horse Zhabe. Frontiers in Genetics. 15. 1466382–1466382. 2 indexed citations

Burska, Agata, et al.. (2024). The Vitamin C Enantiomers Possess a Comparable Potency in the Induction of Oxidative Stress in Cancer Cells but Differ in Their Toxicity. International Journal of Molecular Sciences. 25(5). 2531–2531. 3 indexed citations

Kalendar, Ruslan, et al.. (2023). Universal whole-genome Oxford nanopore sequencing of SARS-CoV-2 using tiled amplicons. Scientific Reports. 13(1). 10334–10334. 4 indexed citations

Bolatov, Aidos, et al.. (2023). Whole-Genome Sequencing Among Kazakhstani Children with Early-Onset Epilepsy Revealed New Gene Variants and Phenotypic Variability. Molecular Neurobiology. 60(8). 4324–4335. 3 indexed citations

Saparbaev, Murat, et al.. (2020). Wheat Germination Is Dependent on Plant Target of Rapamycin Signaling. Frontiers in Cell and Developmental Biology. 8. 10 indexed citations

10.

Joly, Meghan M., Michelle M. Williams, Donna J. Hicks, et al.. (2017). Two distinct mTORC2-dependent pathways converge on Rac1 to drive breast cancer metastasis. Breast Cancer Research. 19(1). 74–74. 56 indexed citations

11.

Joly, Meghan M., Donna J. Hicks, Bayley A. Jones, et al.. (2016). Rictor/mTORC2 Drives Progression and Therapeutic Resistance of HER2 -Amplified Breast Cancers. Cancer Research. 76(16). 4752–4764. 69 indexed citations

12.

Jin, Guoxiang, Szu-Wei Lee, Xian Zhang, et al.. (2015). Skp2-Mediated RagA Ubiquitination Elicits a Negative Feedback to Prevent Amino-Acid-Dependent mTORC1 Hyperactivation by Recruiting GATOR1. Molecular Cell. 58(6). 989–1000. 67 indexed citations

13.

Lin, Aifu, Hai-long Piao, Zhuang Li, et al.. (2014). FoxO Transcription Factors Promote AKT Ser473 Phosphorylation and Renal Tumor Growth in Response to Pharmacologic Inhibition of the PI3K–AKT Pathway. Cancer Research. 74(6). 1682–1693. 108 indexed citations

14.

Sarbassov, Dos D., et al.. (2011). The PI3K/Akt/mTOR signaling pathway. 19(2011). 1 indexed citations

15.

Sarbassov, Dos D., et al.. (2011). The mTOR (Mammalian Target of Rapamycin) Kinase Maintains Integrity of mTOR Complex 2. Journal of Biological Chemistry. 286(46). 40386–40394. 41 indexed citations

16.

Boulbés, Delphine R., Tattym E. Shaiken, Nitin Agarwal, et al.. (2010). Rictor Phosphorylation on the Thr-1135 Site Does Not Require Mammalian Target of Rapamycin Complex 2. Molecular Cancer Research. 8(6). 896–906. 57 indexed citations

17.

Sarbassov, Dos D., David A. Guertin, Siraj M. Ali, & David M. Sabatini. (2005). Phosphorylation and Regulation of Akt/PKB by the Rictor-mTOR Complex. Science. 307(5712). 1098–1101. 5211 indexed citations breakdown →

18.

Kim, Do‐Hyung, Dos D. Sarbassov, Siraj M. Ali, et al.. (2002). mTOR Interacts with Raptor to Form a Nutrient-Sensitive Complex that Signals to the Cell Growth Machinery. Cell. 110(2). 163–175. 2398 indexed citations breakdown →

19.

Sarbassov, Dos D.. (1997). Extracellular Signal-Regulated Kinase-1 and -2 Respond Differently to Mitogenic and Differentiative Signaling Pathways in Myoblasts. Molecular Endocrinology. 11(13). 2038–2047. 10 indexed citations

20.

Sarbassov, Dos D., Linda G. Jones, & Charlotte A. Peterson. (1997). Extracellular Signal-Regulated Kinase-1 and -2 Respond Differently to Mitogenic and Differentiative Signaling Pathways in Myoblasts. Molecular Endocrinology. 11(13). 2038–2047. 71 indexed citations

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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