David A. Guertin
Impact in
- Biophysics top 0.1%
- Cell Image Analysis Techniques
- Aging top 0.5%
Papers in
-
- Lipid metabolism and biosynthesis 9
- Physiology 27
- Adipose Tissue and Metabolism 27
- Co-authors
- David M. SabatiniSiraj M. AliDos D. SarbassovJoan Sánchez-GurmachesJason MoffatAnne E. CarpenterThouis R. JonesRobert A. Lindquist
- Journals
- Cell Reports (5 papers)Nature Communications (4 papers)Molecular Metabolism (3 papers)Cell Metabolism (2 papers)Science (2 papers)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
David A. Guertin
61 papers receiving 20.9k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Biophysics 1.4k
- Aging 380
- Molecular Biology 14.8k
- Cell Biology 2.7k
- Cancer Research 2.2k
Countries citing papers authored by David A. Guertin
This map shows the geographic impact of David A. Guertin'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 David A. Guertin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Guertin more than expected).
Fields of papers citing papers by David A. Guertin
This network shows the impact of papers produced by David A. Guertin. 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 David A. Guertin. The network helps show where David A. Guertin may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Guertin, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 28 | |
| 4 | 2022 | 21 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 26 | |
| 7 | 2020 | 6 | |
| 8 | 2019 | 23 | |
| 9 | 2018 | 99 | |
| 10 | 2017 | 54 | |
| 11 | 2013 | 311 | |
| 12 | 2012 | 52 | |
| 13 | 2012 | 274 | |
| 14 | 2012 | 151 | |
| 15 | 2011 | 107 | |
| 16 | 2009 | 316 | |
| 17 | Ablation in Mice of the mTORC Components raptor, rictor, or mLST8 Reveals that mTORC2 Is Required for Signaling to Akt-FOXO and PKCα, but Not S6K1 Hit paper breakdown → | 2006 | 1158 |
| 18 | Phosphorylation and Regulation of Akt/PKB by the Rictor-mTOR Complex Hit paper breakdown → | 2005 | 5211 |
| 19 | 2004 | 3 | |
| 20 | Rictor, a Novel Binding Partner of mTOR, Defines a Rapamycin-Insensitive and Raptor-Independent Pathway that Regulates the Cytoskeleton Hit paper breakdown → | 2004 | 2141 |
About David A. Guertin
David A. Guertin is a scholar working on Biochemistry, Physiology, Cell Biology, Cancer Research and Molecular Biology, having authored 63 papers that have together received 21.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), PI3K/AKT/mTOR signaling in cancer (17 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Lipid metabolism and biosynthesis (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Muscle metabolism and nutrition (7 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Biophysics (1.4k citations), Aging (380 citations), Molecular Biology (14.8k citations), Cell Biology (2.7k citations) and Cancer Research (2.2k citations). David A. Guertin has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include David M. Sabatini, Siraj M. Ali, Dos D. Sarbassov, Joan Sánchez-Gurmaches, Jason Moffat, Anne E. Carpenter, Thouis R. Jones, Robert A. Lindquist, Michael R. Lamprecht and Joseph Chang. Their work appears in journals such as Cell Reports, Nature Communications, Molecular Metabolism, Cell Metabolism and Science.
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.