Liron Bar‐Peled

12.7k total citations · 9 hit papers
31 papers, 9.0k citations indexed

About

Liron Bar‐Peled is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Liron Bar‐Peled has authored 31 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Liron Bar‐Peled's work include Cellular transport and secretion (15 papers), PI3K/AKT/mTOR signaling in cancer (9 papers) and Mitochondrial Function and Pathology (3 papers). Liron Bar‐Peled is often cited by papers focused on Cellular transport and secretion (15 papers), PI3K/AKT/mTOR signaling in cancer (9 papers) and Mitochondrial Function and Pathology (3 papers). Liron Bar‐Peled collaborates with scholars based in United States, Switzerland and South Africa. Liron Bar‐Peled's co-authors include David M. Sabatini, Yasemin Sancak, Roberto Zoncu, Andrew L. Markhard, Shigeyuki Nada, Robert A. Lindquist, Yoav D. Shaul, Timothy R. Peterson, Carson C. Thoreen and Alejo Efeyan and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Liron Bar‐Peled

30 papers receiving 8.9k citations

Hit Papers

The Rag GTPases Bind Raptor and Mediate Amino Acid Signal... 2008 2026 2014 2020 2008 2010 2011 2012 2015 500 1000 1.5k 2.0k
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. The Rag GTPases Bind Raptor and Mediate Amino Acid Signaling to mTORC1
    2008 2.1k citations Yasemin Sancak, Timothy R. Peterson et al. Science profile →
  2. Ragulator-Rag Complex Targets mTORC1 to the Lysosomal Surface and Is Necessary for Its Activation by Amino Acids
    2010 1.9k citations Yasemin Sancak, Liron Bar‐Peled et al. Cell profile →
  3. mTORC1 Senses Lysosomal Amino Acids Through an Inside-Out Mechanism That Requires the Vacuolar H + -ATPase
    2011 1.3k citations Roberto Zoncu, Liron Bar‐Peled et al. Science profile →
  4. Ragulator Is a GEF for the Rag GTPases that Signal Amino Acid Levels to mTORC1
    2012 714 citations Liron Bar‐Peled, Lawrence D. Schweitzer et al. Cell profile →
  5. Metabolism. Lysosomal amino acid transporter SLC38A9 signals arginine sufficiency to mTORC1.
    2015 618 citations Shuyu Wang, Zhi-Yang Tsun et al. profile →
  6. Regulation of mTORC1 by amino acids
    2014 608 citations Liron Bar‐Peled, David M. Sabatini Trends in Cell Biology profile →
  7. The Folliculin Tumor Suppressor Is a GAP for the RagC/D GTPases That Signal Amino Acid Levels to mTORC1
    2013 421 citations Zhi-Yang Tsun, Liron Bar‐Peled et al. profile →
  8. 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 →
  9. Clinical Acquired Resistance to KRASG12C Inhibition through a Novel KRAS Switch-II Pocket Mutation and Polyclonal Alterations Converging on RAS–MAPK Reactivation
    2021 302 citations Noritaka Tanaka, W. Marston Linehan et al. Cancer Discovery profile →

Peers

Liron Bar‐Peled
Yasemin Sancak United States
Robert A. Saxton United States
Carson C. Thoreen United States
Anne Simonsen Norway
Alejo Efeyan Spain
Timothy R. Peterson United States
Rosa Puertollano United States
Noriko Oshiro Japan
Alicja Bielawska United States
Marco Sardiello United States
Yasemin Sancak United States
Liron Bar‐Peled
Citations per year, relative to Liron Bar‐Peled Liron Bar‐Peled (= 1×) peers Yasemin Sancak

Countries citing papers authored by Liron Bar‐Peled

Since Specialization
Citations

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

Fields of papers citing papers by Liron Bar‐Peled

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liron Bar‐Peled. 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 Liron Bar‐Peled. The network helps show where Liron Bar‐Peled may publish in the future.

Co-authorship network of co-authors of Liron Bar‐Peled

This figure shows the co-authorship network connecting the top 25 collaborators of Liron Bar‐Peled. A scholar is included among the top collaborators of Liron Bar‐Peled 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 Liron Bar‐Peled. Liron Bar‐Peled 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.
Adelmann, Charles H., Avanthika Venkatachalam, Lingjuan Huang, et al.. (2025). Lysosomal reduced thiols are essential for mouse embryonic development. Proceedings of the National Academy of Sciences. 122(36). e2427125122–e2427125122. 1 indexed citations
2.
Ge, Maolin, Rony Chanoch-Myers, Gerard Baquer, et al.. (2025). TMET-30. Uncovering the metabolic programs underlying malignant cell state heterogeneity in glioblastoma. Neuro-Oncology. 27(Supplement_5). v435–v435.
3.
Bar‐Peled, Liron, et al.. (2024). Chemical proteomics to study metabolism, a reductionist approach applied at the systems level. Cell chemical biology. 31(3). 446–451. 1 indexed citations
4.
Zhang, Junbing & Liron Bar‐Peled. (2023). Chemical biology approaches to uncovering nuclear ROS control. Current Opinion in Chemical Biology. 76. 102352–102352. 4 indexed citations
5.
Ge, Maolin, Thales Papagiannakopoulos, & Liron Bar‐Peled. (2023). Reductive stress in cancer: coming out of the shadows. Trends in cancer. 10(2). 103–112. 25 indexed citations
6.
Bar‐Peled, Liron & Nora Kory. (2022). Principles and functions of metabolic compartmentalization. Nature Metabolism. 4(10). 1232–1244. 82 indexed citations
7.
Tanaka, Noritaka, W. Marston Linehan, Chendi Li, et al.. (2021). Clinical Acquired Resistance to KRASG12C Inhibition through a Novel KRAS Switch-II Pocket Mutation and Polyclonal Alterations Converging on RAS–MAPK Reactivation. Cancer Discovery. 11(8). 1913–1922. 302 indexed citations breakdown →
8.
Raffeiner, Philipp, et al.. (2020). An MXD1-derived repressor peptide identifies noncoding mediators of MYC-driven cell proliferation. Proceedings of the National Academy of Sciences. 117(12). 6571–6579. 31 indexed citations
9.
Lum, Kenneth M., Pablo Lara-González, Daisuke Ogasawara, et al.. (2019). Pharmacological convergence reveals a lipid pathway that regulates C. elegans lifespan. Nature Chemical Biology. 15(5). 453–462. 33 indexed citations
10.
Solis, Gregory M., Rozina Kardakaris, Elizabeth R. Valentine, et al.. (2018). Translation attenuation by minocycline enhances longevity and proteostasis in old post-stress-responsive organisms. eLife. 7. 46 indexed citations
11.
Bar‐Peled, Liron, Esther K. Kemper, Radu M. Suciu, et al.. (2017). Chemical Proteomics Identifies Druggable Vulnerabilities in a Genetically Defined Cancer. Cell. 171(3). 696–709.e23. 195 indexed citations
12.
Tsun, Zhi-Yang, Rachel L. Wolfson, Kuang Shen, et al.. (2015). Lysosomal amino acid transporter SLC38A9 signals arginine sufficiency to mTORC1. Science. 347(6218). 188–194. 17 indexed citations
13.
Schweitzer, Lawrence D., William C. Comb, Liron Bar‐Peled, & David M. Sabatini. (2015). Disruption of the Rag-Ragulator Complex by c17orf59 Inhibits mTORC1. Cell Reports. 12(9). 1445–1455. 26 indexed citations
14.
Bar‐Peled, Liron & David M. Sabatini. (2014). Regulation of mTORC1 by amino acids. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
15.
Bar‐Peled, Liron & David M. Sabatini. (2014). Regulation of mTORC1 by amino acids. Trends in Cell Biology. 24(7). 400–406. 608 indexed citations breakdown →
16.
Bar‐Peled, Liron & David M. Sabatini. (2012). SnapShot: mTORC1 Signaling at the Lysosomal Surface. Cell. 151(6). 1390–1390.e1. 30 indexed citations
17.
Zoncu, Roberto, Liron Bar‐Peled, Alejo Efeyan, et al.. (2011). mTORC1 Senses Lysosomal Amino Acids Through an Inside-Out Mechanism That Requires the Vacuolar H + -ATPase. Science. 334(6056). 678–683. 1251 indexed citations breakdown →
18.
Zoncu, Roberto, Liron Bar‐Peled, Alejo Efeyan, et al.. (2011). mTORC1 Senses Lysosomal Amino Acids Through an Inside-Out Mechanism That Requires the Vacuolar H+-ATPase. DSpace@MIT (Massachusetts Institute of Technology). 20 indexed citations
19.
Yang, Ting, et al.. (2009). Identification of Galacturonic Acid-1-phosphate Kinase, a New Member of the GHMP Kinase Superfamily in Plants, and Comparison with Galactose-1-phosphate Kinase. Journal of Biological Chemistry. 284(32). 21526–21535. 49 indexed citations
20.
Sancak, Yasemin, Timothy R. Peterson, Yoav D. Shaul, et al.. (2008). The Rag GTPases Bind Raptor and Mediate Amino Acid Signaling to mTORC1. Science. 320(5882). 1496–1501. 2092 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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