John Blenis

67.4k total citations · 33 hit papers
222 papers, 51.9k citations indexed

About

John Blenis is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, John Blenis has authored 222 papers receiving a total of 51.9k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Molecular Biology, 30 papers in Oncology and 29 papers in Cancer Research. Recurrent topics in John Blenis's work include PI3K/AKT/mTOR signaling in cancer (71 papers), Protein Kinase Regulation and GTPase Signaling (65 papers) and Melanoma and MAPK Pathways (34 papers). John Blenis is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (71 papers), Protein Kinase Regulation and GTPase Signaling (65 papers) and Melanoma and MAPK Pathways (34 papers). John Blenis collaborates with scholars based in United States, Germany and Canada. John Blenis's co-authors include Philippe P. Roux, Diane C. Fingar, Xiaoju Max, Andrew R. Tee, Rey‐Huei Chen, Peter Juo, Lewis C. Cantley, Leon O. Murphy, Bryan A. Ballif and Michael E. Greenberg and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John Blenis

218 papers receiving 51.2k citations

Hit Papers

Akt Promotes Cell Survival by Phosphorylating and Inhibit... 1992 2026 2003 2014 1999 2009 2004 2011 2002 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Blenis United States 101 39.2k 8.2k 6.5k 6.3k 5.6k 222 51.9k
Hediye Erdjument‐Bromage United States 125 53.4k 1.4× 7.4k 0.9× 6.9k 1.1× 7.7k 1.2× 6.0k 1.1× 285 68.1k
Guy S. Salvesen United States 110 37.2k 0.9× 9.0k 1.1× 9.6k 1.5× 5.5k 0.9× 8.2k 1.5× 295 54.7k
Gérard I. Evan United Kingdom 93 29.9k 0.8× 11.9k 1.5× 5.7k 0.9× 4.2k 0.7× 5.6k 1.0× 245 43.0k
James R. Woodgett Canada 108 35.7k 0.9× 5.8k 0.7× 4.8k 0.7× 5.8k 0.9× 4.4k 0.8× 293 47.6k
Dario R. Alessi United Kingdom 124 50.6k 1.3× 7.7k 0.9× 4.9k 0.8× 10.1k 1.6× 5.6k 1.0× 313 65.6k
Paul Tempst United States 143 62.1k 1.6× 8.3k 1.0× 9.0k 1.4× 8.7k 1.4× 7.6k 1.4× 320 80.8k
Erwin F. Wagner Austria 115 33.7k 0.9× 14.2k 1.7× 7.5k 1.2× 3.4k 0.5× 8.0k 1.4× 364 50.7k
Brian A. Hemmings Switzerland 102 33.2k 0.8× 5.1k 0.6× 3.8k 0.6× 7.2k 1.1× 3.4k 0.6× 313 42.4k
Pier Giuseppe Pelicci Italy 106 31.6k 0.8× 9.6k 1.2× 5.6k 0.9× 3.4k 0.5× 3.9k 0.7× 532 45.6k
Junying Yuan United States 103 36.5k 0.9× 5.1k 0.6× 10.4k 1.6× 8.1k 1.3× 4.9k 0.9× 254 52.9k

Countries citing papers authored by John Blenis

Since Specialization
Citations

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

Fields of papers citing papers by John Blenis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Blenis. 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 John Blenis. The network helps show where John Blenis may publish in the future.

Co-authorship network of co-authors of John Blenis

This figure shows the co-authorship network connecting the top 25 collaborators of John Blenis. A scholar is included among the top collaborators of John Blenis 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 John Blenis. John Blenis 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.
He, Long, Sungyun Cho, & John Blenis. (2024). mTORC1, the maestro of cell metabolism and growth. Genes & Development. 39(1-2). 109–131. 12 indexed citations
2.
Cho, Sungyun, Yujin Chun, Long He, et al.. (2023). FAM120A couples SREBP-dependent transcription and splicing of lipogenesis enzymes downstream of mTORC1. Molecular Cell. 83(16). 3010–3026.e8. 17 indexed citations
3.
Low, Vivien, Zhongchi Li, & John Blenis. (2022). Metabolite activation of tumorigenic signaling pathways in the tumor microenvironment. Science Signaling. 15(759). eabj4220–eabj4220. 25 indexed citations
4.
Li, Zhongchi, Vivien Low, Valbona Luga, et al.. (2022). Tumor-produced and aging-associated oncometabolite methylmalonic acid promotes cancer-associated fibroblast activation to drive metastatic progression. Nature Communications. 13(1). 6239–6239. 44 indexed citations
5.
Gomes, Ana P., Didem Ilter, Vivien Low, et al.. (2022). Altered propionate metabolism contributes to tumour progression and aggressiveness. Nature Metabolism. 4(4). 435–443. 54 indexed citations
6.
Tang, Hong-Wen, Jui–Hsia Weng, Yanhui Hu, et al.. (2021). mTORC1-chaperonin CCT signaling regulates m 6 A RNA methylation to suppress autophagy. Proceedings of the National Academy of Sciences. 118(10). 53 indexed citations
7.
Krishnamoorthy, Gnana P., Natalie R. Davidson, Steven D. Leach, et al.. (2018). EIF1AX and RAS Mutations Cooperate to Drive Thyroid Tumorigenesis through ATF4 and c-MYC. Cancer Discovery. 9(2). 264–281. 71 indexed citations
8.
Li, Jing, Sejeong Shin, Yang Sun, et al.. (2016). mTORC1-Driven Tumor Cells Are Highly Sensitive to Therapeutic Targeting by Antagonists of Oxidative Stress. Cancer Research. 76(16). 4816–4827. 20 indexed citations
9.
Mullarky, Edouard, Natasha C. Lucki, Reza Beheshti Zavareh, et al.. (2016). Identification of a small molecule inhibitor of 3-phosphoglycerate dehydrogenase to target serine biosynthesis in cancers. Proceedings of the National Academy of Sciences. 113(7). 1778–1783. 251 indexed citations
10.
Liu, Pengda, Wenjian Gan, Y. Rebecca Chin, et al.. (2015). PtdIns(3,4,5) P 3-Dependent Activation of the mTORC2 Kinase Complex. Cancer Discovery. 5(11). 1194–1209. 307 indexed citations
11.
Fendt, Sarah‐Maria, Eric L. Bell, Mark A. Keibler, et al.. (2013). Metformin Decreases Glucose Oxidation and Increases the Dependency of Prostate Cancer Cells on Reductive Glutamine Metabolism. Cancer Research. 73(14). 4429–4438. 7 indexed citations
12.
Gu, Xiaoxiao, et al.. (2013). Integration of mTOR and estrogen–ERK2 signaling in lymphangioleiomyomatosis pathogenesis. Proceedings of the National Academy of Sciences. 110(37). 14960–14965. 55 indexed citations
13.
Hoffman, Gregory R., et al.. (2010). A High-Throughput, Cell-Based Screening Method for siRNA and Small Molecule Inhibitors of mTORC1 Signaling Using the In Cell Western Technique. Assay and Drug Development Technologies. 8(2). 186–199. 30 indexed citations
14.
Mahoney, Sarah J., Jamie M. Dempsey, & John Blenis. (2009). Chapter 2 Cell Signaling in Protein Synthesis. Progress in molecular biology and translational science. 90. 53–107. 65 indexed citations
15.
Blenis, John, et al.. (2006). Rheb Activation of mTOR and S6K1 Signaling. Methods in enzymology on CD-ROM/Methods in enzymology. 407. 542–555. 19 indexed citations
16.
Tee, Andrew R., Diane C. Fingar, Brendan D. Manning, et al.. (2002). Tuberous sclerosis complex-1 and -2 gene products function together to inhibit mammalian target of rapamycin (mTOR)-mediated downstream signaling. Proceedings of the National Academy of Sciences. 99(21). 13571–13576. 647 indexed citations breakdown →
17.
Manning, Brendan D., et al.. (2002). Identification of the Tuberous Sclerosis Complex-2 Tumor Suppressor Gene Product Tuberin as a Target of the Phosphoinositide 3-Kinase/Akt Pathway. Molecular Cell. 10(1). 151–162. 1281 indexed citations breakdown →
19.
Cheatham, Bentley, et al.. (1994). Phosphatidylinositol 3-Kinase Activation Is Required for Insulin Stimulation of pp70 S6 Kinase, DNA Synthesis, and Glucose Transporter Translocation. Molecular and Cellular Biology. 14(7). 4902–4911. 913 indexed citations breakdown →
20.
Erikson, E, D. Stefanović, John Blenis, R L Erikson, & James L. Maller. (1987). Antibodies to Xenopus Egg S6 Kinase II Recognize S6 Kinase from Progesterone- and Insulin-Stimulated Xenopus Oocytes and from Proliferating Chicken Embryo Fibroblasts. Molecular and Cellular Biology. 7(9). 3147–3155. 21 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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