Robert A. Saxton
Impact in
- Aging top 0.5%
- Cell Biology top 0.5%
- Cellular transport and secretion
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 9
- Polyamine Metabolism and Applications 6
- Ubiquitin and proteasome pathways 2
- CRISPR and Genetic Engineering 2
-
- Immune Response and Inflammation 2
- Co-authors
- David M. Sabatini (10 shared papers)Lynne Chantranupong (7 shared papers)Sonia M. Scaria (5 shared papers)Rachel L. Wolfson (4 shared papers)Kuang Shen (3 shared papers)Jason R. Cantor (2 shared papers)Timothy C. Wang (2 shared papers)Steven P. Gygi (3 shared papers)
- Journals
- Nature (2 papers)Cell (2 papers)Science (2 papers)Immunity (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Robert A. Saxton
15 papers receiving 8.7k citations
Robert A. Saxton's Hit Papers
Peers
Comparison fields: 5 of 130
- Aging 282
- Cell Biology 1.3k
- Molecular Biology 5.2k
- Physiology 350
- Cancer Research 923
Countries citing papers authored by Robert A. Saxton
This map shows the geographic impact of Robert A. Saxton'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 Robert A. Saxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Saxton more than expected).
Fields of papers citing papers by Robert A. Saxton
This network shows the impact of papers produced by Robert A. Saxton. 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 Robert A. Saxton. The network helps show where Robert A. Saxton may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert A. Saxton, 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 | mTOR Signaling in Growth, Metabolism, and Disease Hit paper breakdown → | 2017 | 5801 |
| 2 | Sestrin2 is a leucine sensor for the mTORC1 pathway Hit paper breakdown → | 2015 | 994 |
| 3 | The CASTOR Proteins Are Arginine Sensors for the mTORC1 Pathway Hit paper breakdown → | 2016 | 632 |
| 4 | 2014 | 387 | |
| 5 | 2015 | 367 | |
| 6 | 2016 | 246 | |
| 7 | 2022 | 135 | |
| 8 | 2022 | 53 | |
| 9 | 2021 | 51 | |
| 10 | 2023 | 43 | |
| 11 | 2016 | 24 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 5 | |
| 14 | SAMTOR is an S-adenosylmethionine sensor for the mTORC1 pathway | 2017 | 2 |
| 15 | Sestrin2 is a leucine sensor for the mTORC1 pathway | 2016 | 1 |
About Robert A. Saxton
Robert A. Saxton is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Nutrition and Dietetics, having authored 15 papers that have together received 8.7k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Polyamine Metabolism and Applications (6 papers), Cytokine Signaling Pathways and Interactions (3 papers), Ubiquitin and proteasome pathways (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), CRISPR and Genetic Engineering (2 papers), Immune Response and Inflammation (2 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Aging (282 citations), Cell Biology (1.3k citations), Molecular Biology (5.2k citations), Physiology (350 citations) and Cancer Research (923 citations). Robert A. Saxton has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include David M. Sabatini, Lynne Chantranupong, Sonia M. Scaria, Rachel L. Wolfson, Kuang Shen, Jason R. Cantor, Timothy C. Wang, Steven P. Gygi, Thomas Schwartz and Kevin E. Knockenhauer. Their work appears in journals such as Nature, Cell, Science, Immunity and Molecular Cell.
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.