Jason R. Cantor

5.1k total citations · 3 hit papers
27 papers, 3.6k citations indexed

About

Jason R. Cantor is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jason R. Cantor has authored 27 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Jason R. Cantor's work include Cancer, Hypoxia, and Metabolism (8 papers), RNA modifications and cancer (5 papers) and Biochemical and Molecular Research (4 papers). Jason R. Cantor is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), RNA modifications and cancer (5 papers) and Biochemical and Molecular Research (4 papers). Jason R. Cantor collaborates with scholars based in United States, France and Poland. Jason R. Cantor's co-authors include David M. Sabatini, Lynne Chantranupong, Robert A. Saxton, Sonia M. Scaria, Kuang Shen, Rachel L. Wolfson, Elizaveta Freinkman, Naama Kanarek, Caroline A. Lewis and Monther Abu-Remaileh and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jason R. Cantor

25 papers receiving 3.6k citations

Hit Papers

Sestrin2 is a leucine sensor for the mTORC1 pathway 2012 2026 2016 2021 2015 2012 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason R. Cantor United States 19 2.5k 1.2k 467 426 347 27 3.6k
Steven J. Kridel United States 27 1.8k 0.7× 1.6k 1.3× 538 1.2× 231 0.5× 285 0.8× 50 3.3k
Tzuling Cheng United States 10 3.1k 1.2× 1.9k 1.6× 603 1.3× 313 0.7× 319 0.9× 15 4.3k
Tetsuo Mashima Japan 29 3.2k 1.3× 1.2k 1.0× 856 1.8× 449 1.1× 424 1.2× 70 4.4k
George Simos Greece 44 4.1k 1.6× 1.5k 1.2× 488 1.0× 255 0.6× 373 1.1× 98 5.3k
Sybille Mazurek Germany 24 2.3k 0.9× 1.8k 1.5× 537 1.1× 277 0.7× 149 0.4× 45 3.4k
Juan Liu China 29 2.8k 1.1× 1.9k 1.6× 927 2.0× 357 0.8× 209 0.6× 118 4.3k
David F. Kashatus United States 26 2.2k 0.9× 777 0.6× 381 0.8× 280 0.7× 341 1.0× 41 2.9k
Oliver D.K. Maddocks United Kingdom 27 3.5k 1.4× 2.2k 1.8× 775 1.7× 347 0.8× 303 0.9× 42 4.9k
Sze Ham Chan United States 17 1.8k 0.7× 728 0.6× 266 0.6× 212 0.5× 379 1.1× 22 2.8k
Monther Abu-Remaileh United States 25 3.2k 1.3× 1.0k 0.8× 399 0.9× 385 0.9× 585 1.7× 40 4.8k

Countries citing papers authored by Jason R. Cantor

Since Specialization
Citations

This map shows the geographic impact of Jason R. Cantor'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 Jason R. Cantor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason R. Cantor more than expected).

Fields of papers citing papers by Jason R. Cantor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason R. Cantor. 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 Jason R. Cantor. The network helps show where Jason R. Cantor may publish in the future.

Co-authorship network of co-authors of Jason R. Cantor

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

All Works

20 of 20 papers shown
1.
Virtue, Sam, et al.. (2025). Seeing the world through the eyes of cultured cells. Cell Metabolism. 37(4). 802–805.
2.
Wilson, Kelli M., et al.. (2024). Conditional lethality profiling reveals anticancer mechanisms of action and drug-nutrient interactions. Science Advances. 10(40). eadq3591–eadq3591. 5 indexed citations
3.
Adelmann, Charles H., et al.. (2021). CRISPR screens in physiologic medium reveal conditionally essential genes in human cells. Cell Metabolism. 33(6). 1248–1263.e9. 71 indexed citations
4.
Kaymak, Irem, Kelsey S. Williams, Jason R. Cantor, & Russell G. Jones. (2020). Immunometabolic Interplay in the Tumor Microenvironment. Cancer Cell. 39(1). 28–37. 229 indexed citations
5.
Williamson, Christina, Rohiverth Guarecuco, Leah Gates, et al.. (2020). ZBTB1 Regulates Asparagine Synthesis and Leukemia Cell Response to L-Asparaginase. Cell Metabolism. 31(4). 852–861.e6. 52 indexed citations
6.
Cantor, Jason R.. (2019). The Rise of Physiologic Media. Trends in Cell Biology. 29(11). 854–861. 58 indexed citations
7.
Kanarek, Naama, Heather R. Keys, Jason R. Cantor, et al.. (2018). Histidine catabolism is a major determinant of methotrexate sensitivity. Nature. 559(7715). 632–636. 226 indexed citations
8.
Cantor, Jason R., Monther Abu-Remaileh, Naama Kanarek, et al.. (2017). Physiologic Medium Rewires Cellular Metabolism and Reveals Uric Acid as an Endogenous Inhibitor of UMP Synthase. Cell. 169(2). 258–272.e17. 372 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.
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 →
11.
Kim, Do‐Hoon, Brian P. Fiske, Kıvanç Birsoy, et al.. (2015). SHMT2 drives glioma cell survival in ischaemia but imposes a dependence on glycine clearance. Nature. 520(7547). 363–367. 273 indexed citations
12.
Shaul, Yoav D., Elizaveta Freinkman, William C. Comb, et al.. (2014). Dihydropyrimidine Accumulation Is Required for the Epithelial-Mesenchymal Transition. Cell. 158(5). 1094–1109. 172 indexed citations
13.
Cantor, Jason R., et al.. (2013). GFP Reporter Screens for the Engineering of Amino Acid Degrading Enzymes from Libraries Expressed in Bacteria. Methods in molecular biology. 978. 31–44. 1 indexed citations
14.
Li, Wenzong, Jason R. Cantor, S.D. Yogesha, et al.. (2012). Uncoupling Intramolecular Processing and Substrate Hydrolysis in the N-Terminal Nucleophile Hydrolase hASRGL1 by Circular Permutation. ACS Chemical Biology. 7(11). 1840–1847. 20 indexed citations
15.
Cantor, Jason R., et al.. (2011). Engineering Reduced-Immunogenicity Enzymes for Amino Acid Depletion Therapy in Cancer. Methods in enzymology on CD-ROM/Methods in enzymology. 502. 291–319. 42 indexed citations
16.
Cantor, Jason R., Everett Stone, & George Georgiou. (2011). Expression and Biochemical Characterization of the Human Enzyme N-Terminal Asparagine Amidohydrolase. Biochemistry. 50(14). 3025–3033. 9 indexed citations
17.
Cantor, Jason R., et al.. (2011). Therapeutic enzyme deimmunization by combinatorial T-cell epitope removal using neutral drift. Proceedings of the National Academy of Sciences. 108(4). 1272–1277. 96 indexed citations
18.
Varadarajan, Navin, Jason R. Cantor, George Georgiou, & Brent L. Iverson. (2009). Construction and flow cytometric screening of targeted enzyme libraries. Nature Protocols. 4(6). 893–901. 24 indexed citations
19.
Camarero, Julio A., Richard H. Kimura, Youn‐Hi Woo, Alexander Shekhtman, & Jason R. Cantor. (2007). Biosynthesis of a Fully Functional Cyclotide inside Living Bacterial Cells. ChemBioChem. 8(12). 1363–1366. 88 indexed citations
20.
Finehout, Erin, Jason R. Cantor, & Kelvin H. Lee. (2005). Kinetic characterization of sequencing grade modified trypsin. PROTEOMICS. 5(9). 2319–2321. 58 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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