Robert A. Saxton

1.2k total citations · 1 hit paper
8 papers, 831 citations indexed

About

Robert A. Saxton is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Robert A. Saxton has authored 8 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Robert A. Saxton's work include Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (2 papers) and Immune Response and Inflammation (2 papers). Robert A. Saxton is often cited by papers focused on Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (2 papers) and Immune Response and Inflammation (2 papers). Robert A. Saxton collaborates with scholars based in United States, Germany and China. Robert A. Saxton's co-authors include K. Christopher García, David M. Sabatini, Patrycja A. Krawczyk, Jose M. Orozco, J. Wade Harper, Xin Gu, Kendall J. Condon, Grace Y. Liu, Sonia M. Scaria and Steven P. Gygi and has published in prestigious journals such as Science, Nature Communications and Cell Reports.

In The Last Decade

Robert A. Saxton

8 papers receiving 824 citations

Hit Papers

align trajectories

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.

SAMTOR is an S -adenosylmethionine sensor for the mTORC1 pathway

2017 413 citations Xin Gu, Jose M. Orozco et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert A. Saxton United States	7	487	155	146	94	87	8	831
Claudia Buerger Germany	14	514 1.1×	267 1.7×	172 1.2×	138 1.5×	66 0.8×	25	929
Dominik Cysewski Poland	21	860 1.8×	101 0.7×	62 0.4×	67 0.7×	68 0.8×	52	1.1k
Maria Buxadé Spain	11	500 1.0×	209 1.3×	93 0.6×	116 1.2×	56 0.6×	14	805
Peter A. Bell United States	18	692 1.4×	94 0.6×	88 0.6×	170 1.8×	73 0.8×	32	1.0k
Galia Maik-Rachline Israel	15	620 1.3×	80 0.5×	163 1.1×	102 1.1×	54 0.6×	24	925
Mariana Cooke United States	19	581 1.2×	163 1.1×	211 1.4×	113 1.2×	46 0.5×	37	942
Barry J. Maurer United States	17	1.0k 2.1×	97 0.6×	164 1.1×	128 1.4×	69 0.8×	40	1.3k
Louise K. Modis United States	14	439 0.9×	419 2.7×	100 0.7×	71 0.8×	74 0.9×	17	895
Connie W. Lam United Kingdom	13	521 1.1×	222 1.4×	170 1.2×	241 2.6×	88 1.0×	15	956

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

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8 of 8 papers shown

1.

Glassman, Caleb R., Robert A. Saxton, Leon Su, et al.. (2025). Redirecting immune signaling with cytokine adaptors. Nature Communications. 16(1). 2432–2432. 6 indexed citations

2.

Caveney, Nathanael A., Robert A. Saxton, Deepa Waghray, et al.. (2023). Structural basis of Janus kinase trans-activation. Cell Reports. 42(3). 112201–112201. 27 indexed citations

3.

Bruun, Theodora U. J., Nathanael A. Caveney, Leon Su, et al.. (2023). A structural blueprint for interleukin-21 signal modulation. Cell Reports. 42(6). 112657–112657. 6 indexed citations

4.

Glassman, Caleb R., Naotaka Tsutsumi, Robert A. Saxton, et al.. (2022). Structure of a Janus kinase cytokine receptor complex reveals the basis for dimeric activation. Science. 376(6589). 163–169. 101 indexed citations

5.

Saxton, Robert A., Naotaka Tsutsumi, Leon Su, et al.. (2021). Structure-based decoupling of the pro- and anti-inflammatory functions of interleukin-10. Science. 371(6535). 133 indexed citations

6.

Mohan, Kritika, George Ueda, Kevin M. Jude, et al.. (2019). Topological control of cytokine receptor signaling induces differential effects in hematopoiesis. Science. 364(6442). 86 indexed citations

7.

Mena, Elijah L., Robert A. Saxton, Achim Werner, et al.. (2018). Dimerization quality control ensures neuronal development and survival. Science. 362(6411). 59 indexed citations

8.

Gu, Xin, Jose M. Orozco, Robert A. Saxton, et al.. (2017). SAMTOR is an S -adenosylmethionine sensor for the mTORC1 pathway. Science. 358(6364). 813–818. 413 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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