Robert A. Saxton

13.0k total citations · 4 hit papers
15 papers, 8.4k citations indexed

About

Robert A. Saxton is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Robert A. Saxton has authored 15 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Robert A. Saxton's work include PI3K/AKT/mTOR signaling in cancer (9 papers), Polyamine Metabolism and Applications (6 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Robert A. Saxton is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (9 papers), Polyamine Metabolism and Applications (6 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Robert A. Saxton collaborates with scholars based in United States, Germany and Canada. Robert A. Saxton's 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, Kevin E. Knockenhauer and Thomas Schwartz and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Robert A. Saxton

15 papers receiving 8.3k citations

Hit Papers

mTOR Signaling in Growth, Metabolism, and Disease 2014 2026 2018 2022 2017 2015 2016 2014 1000 2.0k 3.0k 4.0k 5.0k
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.

  1. mTOR Signaling in Growth, Metabolism, and Disease
    2017 5.6k citations Robert A. Saxton, David M. Sabatini Cell profile →
  2. Sestrin2 is a leucine sensor for the mTORC1 pathway
    2015 951 citations Rachel L. Wolfson, Lynne Chantranupong et al. Science profile →
  3. The CASTOR Proteins Are Arginine Sensors for the mTORC1 Pathway
    2016 607 citations Lynne Chantranupong, Sonia M. Scaria et al. Cell profile →
  4. The Sestrins Interact with GATOR2 to Negatively Regulate the Amino-Acid-Sensing Pathway Upstream of mTORC1
    2014 374 citations Lynne Chantranupong, Rachel L. Wolfson et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert A. Saxton United States 11 5.5k 1.4k 1.3k 1.2k 1.1k 15 8.4k
Andrew R. Tee United Kingdom 39 6.6k 1.2× 1.3k 1.0× 1.3k 0.9× 1.5k 1.3× 917 0.9× 69 9.1k
Alejo Efeyan Spain 24 6.0k 1.1× 1.7k 1.3× 1.3k 1.0× 1.9k 1.7× 1.2k 1.1× 49 9.5k
Leon O. Murphy United States 25 6.6k 1.2× 1.8k 1.3× 1.3k 0.9× 993 0.9× 952 0.9× 31 9.3k
Liron Bar‐Peled United States 21 6.3k 1.2× 2.1k 1.5× 2.4k 1.8× 1.1k 1.0× 791 0.7× 31 9.0k
Diane C. Fingar United States 33 6.2k 1.1× 941 0.7× 949 0.7× 1.2k 1.0× 981 0.9× 49 8.7k
Hideki Nishitoh Japan 37 5.3k 1.0× 1.2k 0.9× 2.1k 1.6× 767 0.7× 1.3k 1.2× 64 8.2k
Maria Hatzoglou United States 50 5.4k 1.0× 1.1k 0.8× 2.1k 1.6× 685 0.6× 613 0.6× 114 7.9k
Stephan Wullschleger Switzerland 21 6.3k 1.1× 1.1k 0.8× 950 0.7× 703 0.6× 967 0.9× 26 8.8k
Kenta Hara Japan 39 7.5k 1.4× 825 0.6× 1.5k 1.1× 963 0.8× 999 0.9× 67 9.5k
Yong‐Keun Jung South Korea 48 5.5k 1.0× 2.2k 1.6× 1.3k 1.0× 1.6k 1.4× 1.1k 1.1× 147 8.7k

Countries citing papers authored by Robert A. Saxton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert A. Saxton

This figure shows the co-authorship network connecting the top 25 collaborators of Robert A. Saxton. A scholar is included among the top collaborators of Robert A. Saxton 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 Robert A. Saxton. Robert A. Saxton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Caveney, Nathanael A., Marta T. Borowska, Steven C. Wilson, et al.. (2024). Structure of the interleukin-5 receptor complex exemplifies the organizing principle of common beta cytokine signaling. Molecular Cell. 84(10). 1995–2005.e7. 5 indexed citations
2.
Saxton, Robert A., et al.. (2023). Structural insights into the mechanism of leptin receptor activation. Nature Communications. 14(1). 1797–1797. 36 indexed citations
3.
Valenstein, Max L., Kacper B. Rogala, Edward J. Brignole, et al.. (2022). Structure of the nutrient-sensing hub GATOR2. Nature. 607(7919). 610–616. 50 indexed citations
4.
Saxton, Robert A., Caleb R. Glassman, & K. Christopher García. (2022). Emerging principles of cytokine pharmacology and therapeutics. Nature Reviews Drug Discovery. 22(1). 21–37. 116 indexed citations
5.
Saxton, Robert A., Lukas T. Henneberg, Marco Calafiore, et al.. (2021). The tissue protective functions of interleukin-22 can be decoupled from pro-inflammatory actions through structure-based design. Immunity. 54(4). 660–672.e9. 49 indexed citations
6.
Saxton, Robert A. & K. Christopher García. (2021). Cryo‐EM structure of the IL‐10 receptor complex provides a blueprint for ligand engineering. FEBS Journal. 289(24). 8032–8036. 8 indexed citations
7.
Gu, Xin, Jose M. Orozco, Robert A. Saxton, et al.. (2017). SAMTOR is an S-adenosylmethionine sensor for the mTORC1 pathway. PMC. 2 indexed citations
8.
Saxton, Robert A. & David M. Sabatini. (2017). mTOR Signaling in Growth, Metabolism, and Disease. Cell. 168(6). 960–976. 5566 indexed citations breakdown →
9.
Wolfson, Rachel L., Lynne Chantranupong, Robert A. Saxton, et al.. (2016). Sestrin2 is a leucine sensor for the mTORC1 pathway. PMC. 1 indexed citations
10.
Chantranupong, Lynne, Sonia M. Scaria, Robert A. Saxton, et al.. (2016). The CASTOR Proteins Are Arginine Sensors for the mTORC1 Pathway. Cell. 165(1). 153–164. 607 indexed citations breakdown →
11.
Saxton, Robert A., Kevin E. Knockenhauer, Thomas Schwartz, & David M. Sabatini. (2016). The apo-structure of the leucine sensor Sestrin2 is still elusive. Science Signaling. 9(446). ra92–ra92. 24 indexed citations
12.
Saxton, Robert A., Lynne Chantranupong, Kevin E. Knockenhauer, Thomas Schwartz, & David M. Sabatini. (2016). Mechanism of arginine sensing by CASTOR1 upstream of mTORC1. Nature. 536(7615). 229–233. 232 indexed citations
13.
Wolfson, Rachel L., Lynne Chantranupong, Robert A. Saxton, et al.. (2015). Sestrin2 is a leucine sensor for the mTORC1 pathway. Science. 351(6268). 43–48. 951 indexed citations breakdown →
14.
Saxton, Robert A., Kevin E. Knockenhauer, Rachel L. Wolfson, et al.. (2015). Structural basis for leucine sensing by the Sestrin2-mTORC1 pathway. Science. 351(6268). 53–58. 356 indexed citations
15.
Chantranupong, Lynne, Rachel L. Wolfson, Jose M. Orozco, et al.. (2014). The Sestrins Interact with GATOR2 to Negatively Regulate the Amino-Acid-Sensing Pathway Upstream of mTORC1. Cell Reports. 9(1). 1–8. 374 indexed citations breakdown →

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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