Peter Juo

10.5k total citations · 3 hit papers
33 papers, 8.8k citations indexed

About

Peter Juo is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter Juo has authored 33 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Aging and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter Juo's work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Cell death mechanisms and regulation (9 papers) and Circadian rhythm and melatonin (8 papers). Peter Juo is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (16 papers), Cell death mechanisms and regulation (9 papers) and Circadian rhythm and melatonin (8 papers). Peter Juo collaborates with scholars based in United States, Switzerland and Germany. Peter Juo's co-authors include John Blenis, Karen C. Arden, Azad Bonni, Michael J. Anderson, Anne Brunet, Michael E. Greenberg, Linda Hu, Michael Z. Lin, Michael J. Zigmond and Calvin J. Kuo and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Neuron.

In The Last Decade

Peter Juo

32 papers receiving 8.7k citations

Hit Papers

Akt Promotes Cell Survival by Phosphorylating and Inhibit... 1999 2026 2008 2017 1999 2000 2000 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
Peter Juo United States 20 7.3k 1.4k 1.4k 1.3k 842 33 8.8k
Stephan Wullschleger Switzerland 21 6.3k 0.9× 1.3k 0.9× 967 0.7× 871 0.7× 950 1.1× 26 8.8k
Anders M. Näär United States 38 8.5k 1.2× 996 0.7× 932 0.7× 2.3k 1.8× 639 0.8× 49 11.3k
Estela Jacinto United States 27 6.9k 0.9× 906 0.6× 1.5k 1.0× 895 0.7× 965 1.1× 45 8.9k
Sheng‐Cai Lin China 45 8.2k 1.1× 1.3k 0.9× 1.6k 1.2× 1.9k 1.6× 1.2k 1.4× 90 11.4k
Vuk Stambolic Canada 44 8.6k 1.2× 2.5k 1.8× 1.0k 0.7× 1.6k 1.3× 1.1k 1.3× 85 10.8k
Karen C. Arden United States 44 11.6k 1.6× 2.1k 1.4× 2.1k 1.5× 1.6k 1.3× 1.0k 1.2× 77 15.0k
Diane C. Fingar United States 33 6.2k 0.9× 932 0.6× 981 0.7× 731 0.6× 949 1.1× 49 8.7k
Dos D. Sarbassov United States 26 12.8k 1.8× 1.8k 1.2× 2.0k 1.4× 1.4k 1.1× 1.9k 2.2× 53 16.1k
Alejo Efeyan Spain 24 6.0k 0.8× 1.4k 1.0× 1.2k 0.8× 1.1k 0.9× 1.3k 1.5× 49 9.5k
Qiang Yu Singapore 55 6.0k 0.8× 1.9k 1.3× 776 0.5× 1.9k 1.5× 651 0.8× 139 8.4k

Countries citing papers authored by Peter Juo

Since Specialization
Citations

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

Fields of papers citing papers by Peter Juo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Juo

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Juo. A scholar is included among the top collaborators of Peter Juo 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 Peter Juo. Peter Juo 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
2.
Luth, Eric S., et al.. (2023). Regulation of AMPA receptor trafficking by secreted protein factors. Frontiers in Cellular Neuroscience. 17. 1271169–1271169. 3 indexed citations
3.
Klickstein, Jacob A., et al.. (2021). The p97–UBXN1 complex regulates aggresome formation. Journal of Cell Science. 134(7). 13 indexed citations
4.
Dahlberg, Caroline L., et al.. (2017). Function of the Deubiquitinating Enzyme USP46 in the Nervous System and Its Regulation by WD40-Repeat Proteins. Frontiers in Synaptic Neuroscience. 9. 16–16. 11 indexed citations
5.
Moss, B.J., Lidia Park, Caroline L. Dahlberg, & Peter Juo. (2016). The CaM Kinase CMK-1 Mediates a Negative Feedback Mechanism Coupling the C. elegans Glutamate Receptor GLR-1 with Its Own Transcription. PLoS Genetics. 12(7). e1006180–e1006180. 14 indexed citations
6.
Luth, Eric S., et al.. (2015). The AP2 clathrin adaptor protein complex regulates the abundance of GLR-1 glutamate receptors in the ventral nerve cord ofCaenorhabditis elegans. Molecular Biology of the Cell. 26(10). 1887–1900. 11 indexed citations
7.
Moss, B.J., et al.. (2015). The DAF-7/TGF-β signaling pathway regulates abundance of the Caenorhabditis elegans glutamate receptor GLR-1. Molecular and Cellular Neuroscience. 67. 66–74. 16 indexed citations
8.
Kowalski, Jennifer R., et al.. (2013). The Anaphase-Promoting Complex (APC) ubiquitin ligase regulates GABA transmission at the C. elegans neuromuscular junction. Molecular and Cellular Neuroscience. 58. 62–75. 27 indexed citations
10.
Kowalski, Jennifer R., et al.. (2012). The kinesin-3 family motor KLP-4 regulates anterograde trafficking of GLR-1 glutamate receptors in the ventral nerve cord ofCaenorhabditis elegans. Molecular Biology of the Cell. 23(18). 3647–3662. 27 indexed citations
11.
Goodwin, P. R., et al.. (2012). Cyclin-Dependent Kinase 5 Regulates the Polarized Trafficking of Neuropeptide-Containing Dense-Core Vesicles in Caenorhabditis elegans Motor Neurons. Journal of Neuroscience. 32(24). 8158–8172. 70 indexed citations
12.
Kowalski, Jennifer R., Caroline L. Dahlberg, & Peter Juo. (2011). The Deubiquitinating Enzyme USP-46 Negatively Regulates the Degradation of Glutamate Receptors to Control Their Abundance in the Ventral Nerve Cord ofCaenorhabditis elegans. Journal of Neuroscience. 31(4). 1341–1354. 52 indexed citations
13.
Juo, Peter, et al.. (2007). CDK-5 Regulates the Abundance of GLR-1 Glutamate Receptors in the Ventral Cord ofCaenorhabditis elegans. Molecular Biology of the Cell. 18(10). 3883–3893. 28 indexed citations
14.
Juo, Peter & Joshua M. Kaplan. (2004). The Anaphase-Promoting Complex Regulates the Abundance of GLR-1 Glutamate Receptors in the Ventral Nerve Cord of C. elegans. Current Biology. 14(22). 2057–2062. 141 indexed citations
15.
16.
Bodmer, Jean-Luc, Nils Holler, Patrizia Vinciguerra, et al.. (2000). TRAIL receptor-2 signals apoptosis through FADD and caspase-8. Nature Cell Biology. 2(4). 241–243. 567 indexed citations breakdown →
17.
Sprick, Martin R., Markus Weigand, Eva Rieser, et al.. (2000). FADD/MORT1 and Caspase-8 Are Recruited to TRAIL Receptors 1 and 2 and Are Essential for Apoptosis Mediated by TRAIL Receptor 2. Immunity. 12(6). 599–609. 678 indexed citations breakdown →
18.
Ding, Han‐Fei, Yi‐Ling Lin, Gaël McGill, et al.. (2000). Essential Role for Caspase-8 in Transcription-independent Apoptosis Triggered by p53. Journal of Biological Chemistry. 275(49). 38905–38911. 118 indexed citations
19.
Brunet, Anne, Azad Bonni, Michael J. Zigmond, et al.. (1999). Akt Promotes Cell Survival by Phosphorylating and Inhibiting a Forkhead Transcription Factor. Cell. 96(6). 857–868. 5452 indexed citations breakdown →
20.
Sánchez, Ivelisse, et al.. (1999). Caspase-8 Is Required for Cell Death Induced by Expanded Polyglutamine Repeats. Neuron. 22(3). 623–633. 346 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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