Jae Cheon Ryu

485 total citations
8 papers, 378 citations indexed

About

Jae Cheon Ryu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Jae Cheon Ryu has authored 8 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Jae Cheon Ryu's work include Nerve injury and regeneration (3 papers), Protein Tyrosine Phosphatases (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Jae Cheon Ryu is often cited by papers focused on Nerve injury and regeneration (3 papers), Protein Tyrosine Phosphatases (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Jae Cheon Ryu collaborates with scholars based in United States, Japan and Canada. Jae Cheon Ryu's co-authors include Sung Ok Yoon, Chhavy Tep, James C. Walton, Kun Huang, Lucia Pastorino, Yong Jae Shin, Kun Ping Lu, Hatice Gülçin Özer, Mark H. Tuszynski and Alan H. Nagahara and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Neuron.

In The Last Decade

Jae Cheon Ryu

8 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Cheon Ryu United States 8 156 139 124 59 53 8 378
Kathryn M. Munro Australia 12 161 1.0× 115 0.8× 147 1.2× 53 0.9× 50 0.9× 15 359
Edgar Dawkins Australia 9 174 1.1× 81 0.6× 214 1.7× 71 1.2× 36 0.7× 10 428
Mark Walzer United States 11 114 0.7× 178 1.3× 112 0.9× 49 0.8× 63 1.2× 22 432
Shohreh Majd Australia 12 205 1.3× 94 0.7× 201 1.6× 46 0.8× 34 0.6× 19 438
Tina Loeffler Austria 9 212 1.4× 92 0.7× 251 2.0× 47 0.8× 36 0.7× 19 504
Hanjun Guan United States 9 150 1.0× 129 0.9× 227 1.8× 63 1.1× 28 0.5× 12 407
Filomena Iannuzzi Italy 12 203 1.3× 79 0.6× 158 1.3× 26 0.4× 25 0.5× 15 360
Jian Hao China 13 155 1.0× 103 0.7× 258 2.1× 118 2.0× 53 1.0× 22 504
Paloma Goñi‐Oliver Spain 9 264 1.7× 161 1.2× 226 1.8× 73 1.2× 81 1.5× 13 484
Sandra Colié France 10 262 1.7× 88 0.6× 165 1.3× 45 0.8× 86 1.6× 12 495

Countries citing papers authored by Jae Cheon Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Jae Cheon Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Cheon Ryu. 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 Jae Cheon Ryu. The network helps show where Jae Cheon Ryu may publish in the future.

Co-authorship network of co-authors of Jae Cheon Ryu

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

All Works

8 of 8 papers shown
1.
Ryu, Jae Cheon, Tara R. Hawkinson, Douglas W. Scharre, et al.. (2024). Imbalance in Glucose Metabolism Regulates the Transition of Microglia from Homeostasis to Disease-Associated Microglia Stage 1. Journal of Neuroscience. 44(20). e1563232024–e1563232024. 9 indexed citations
2.
Tep, Chhavy, Thiago C. Genaro‐Mattos, Jae Cheon Ryu, et al.. (2021). Metabolic Control of Sensory Neuron Survival by the p75 Neurotrophin Receptor in Schwann Cells. Journal of Neuroscience. 41(42). 8710–8724. 9 indexed citations
3.
Feng, Yangbo, HaJeung Park, Jae Cheon Ryu, & Sung Ok Yoon. (2021). N-Aromatic-Substituted Indazole Derivatives as Brain-Penetrant and Orally Bioavailable JNK3 Inhibitors. ACS Medicinal Chemistry Letters. 12(10). 1546–1552. 16 indexed citations
4.
Feng, Yangbo, et al.. (2020). Thiophene-Pyrazolourea Derivatives as Potent, Orally Bioavailable, and Isoform-Selective JNK3 Inhibitors. ACS Medicinal Chemistry Letters. 12(1). 24–29. 22 indexed citations
5.
Ryu, Jae Cheon, Susan E. Malley, Stephanie L. Daugherty, et al.. (2018). Role of proNGF/p75 signaling in bladder dysfunction after spinal cord injury. Journal of Clinical Investigation. 128(5). 1772–1786. 33 indexed citations
6.
Tian, Jinbin, Chhavy Tep, Alex Benedick, et al.. (2014). p75 Regulates Purkinje Cell Firing by Modulating SK Channel Activity through Rac1. Journal of Biological Chemistry. 289(45). 31458–31472. 14 indexed citations
7.
Tep, Chhavy, Jae Cheon Ryu, Virginia M. Goettl, et al.. (2013). Oral Administration of a Small Molecule Targeted to Block proNGF Binding to p75 Promotes Myelin Sparing and Functional Recovery after Spinal Cord Injury. Journal of Neuroscience. 33(2). 397–410. 81 indexed citations
8.
Yoon, Sung Ok, Jae Cheon Ryu, Hatice Gülçin Özer, et al.. (2012). JNK3 Perpetuates Metabolic Stress Induced by Aβ Peptides. Neuron. 75(5). 824–837. 194 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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