Chung Ju

835 total citations
27 papers, 680 citations indexed

About

Chung Ju is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chung Ju has authored 27 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Neurology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chung Ju's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Nitric Oxide and Endothelin Effects (3 papers). Chung Ju is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Nitric Oxide and Endothelin Effects (3 papers). Chung Ju collaborates with scholars based in South Korea, Japan and United States. Chung Ju's co-authors include Won-Ki Kim, In Young Choi, Paul L. Prather, Geum-Sil Cho, Hyoung‐Chun Kim, Sun‐Young Hwang, Shu‐ichi Okamoto, Marion N. Schölzke, Ella Bossy‐Wetzel and Guy S. Salvesen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Chung Ju

27 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chung Ju South Korea 13 286 185 145 136 88 27 680
Rabab H. Sayed Egypt 19 308 1.1× 105 0.6× 139 1.0× 78 0.6× 99 1.1× 54 828
Shun‐Fen Tzeng Taiwan 17 340 1.2× 227 1.2× 269 1.9× 94 0.7× 126 1.4× 31 1.0k
Yifeng Du United States 17 369 1.3× 211 1.1× 194 1.3× 129 0.9× 211 2.4× 22 938
Julia E. Sepúlveda-Díaz France 14 267 0.9× 200 1.1× 135 0.9× 110 0.8× 199 2.3× 19 772
Rinat Tabakman Israel 16 288 1.0× 138 0.7× 233 1.6× 75 0.6× 149 1.7× 25 892
Takako Takemiya Japan 15 381 1.3× 176 1.0× 332 2.3× 215 1.6× 133 1.5× 28 971
Er‐Qing Wei China 24 438 1.5× 394 2.1× 203 1.4× 111 0.8× 225 2.6× 34 1.1k
Annamaria Lanzillotta Italy 18 394 1.4× 272 1.5× 165 1.1× 107 0.8× 261 3.0× 26 926
Ekaterina Turlova Canada 15 308 1.1× 95 0.5× 89 0.6× 36 0.3× 76 0.9× 21 842
Jameel Dennis United States 14 455 1.6× 121 0.7× 212 1.5× 295 2.2× 227 2.6× 16 1.0k

Countries citing papers authored by Chung Ju

Since Specialization
Citations

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

Fields of papers citing papers by Chung Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Chung Ju. A scholar is included among the top collaborators of Chung Ju 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 Chung Ju. Chung Ju 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.
Ko, Yousun, Yu Sub Sung, Mi‐Hyun Kim, et al.. (2023). Sequence-Type Classification of Brain MRI for Acute Stroke Using a Self-Supervised Machine Learning Algorithm. Diagnostics. 14(1). 70–70. 4 indexed citations
2.
Chandiwana, Nomathemba, Hilary Johnstone, Chung Ju, et al.. (2022). Safety and efficacy of four drug regimens versus standard-of-care for the treatment of symptomatic outpatients with COVID-19: A randomised, open-label, multi-arm, phase 2 clinical trial. EBioMedicine. 86. 104322–104322. 12 indexed citations
3.
Ju, Chung, Sang‐Min Jeon, Hee‐Sook Jun, & Chang‐Kiu Moon. (2019). Diol-ginsenosides from Korean Red Ginseng delay the development of type 1 diabetes in diabetes-prone biobreeding rats. Journal of Ginseng Research. 44(4). 619–626. 9 indexed citations
4.
Kim, Jong S., Kyung Bok Lee, Jong‐Ho Park, et al.. (2019). Safety and Efficacy of Otaplimastat in Patients with Acute Ischemic Stroke Requiring tPA (SAFE‐TPA): A Multicenter, Randomized, Double‐Blind, Placebo‐Controlled Phase 2 Study. Annals of Neurology. 87(2). 233–245. 23 indexed citations
5.
Singh, Sarbjit, Sung Jae Lee, Hitesh B. Jalani, et al.. (2017). Discovery of a novel series of N-hydroxypyridone derivatives protecting astrocytes against hydrogen peroxide-induced toxicity via improved mitochondrial functionality. Bioorganic & Medicinal Chemistry. 25(4). 1394–1405. 11 indexed citations
6.
Hwang, Sun‐Young, Geum-Sil Cho, Sangwoo Ryu, et al.. (2016). Post-ischemic treatment of WIB801C, standardized Cordyceps extract, reduces cerebral ischemic injury via inhibition of inflammatory cell migration. Journal of Ethnopharmacology. 186. 169–180. 18 indexed citations
7.
8.
Yun, Nuri, Chiho Kim, Hirohiko Shibayama, et al.. (2014). Anamorsin, a Novel Caspase-3 Substrate in Neurodegeneration. Journal of Biological Chemistry. 289(32). 22183–22195. 9 indexed citations
9.
Kim, Chiho, Nuri Yun, Jeong Yeob Baek, et al.. (2013). Gel-based Protease Proteomics for Identifying the Novel Calpain Substrates in Dopaminergic Neuronal Cell. Journal of Biological Chemistry. 288(51). 36717–36732. 16 indexed citations
10.
Ju, Chung, et al.. (2013). Up-regulation of astroglial heme oxygenase-1 by a synthetic (S)-verbenone derivative LMT-335 ameliorates oxygen–glucose deprivation-evoked injury in cortical neurons. Biochemical and Biophysical Research Communications. 431(3). 484–489. 3 indexed citations
11.
12.
Ju, Chung, Sun‐Young Hwang, Chorong Kim, et al.. (2013). Discovery of novel (1S)-(−)-verbenone derivatives with anti-oxidant and anti-ischemic effects. Bioorganic & Medicinal Chemistry Letters. 23(19). 5421–5425. 22 indexed citations
13.
Choi, In Young, et al.. (2013). Activation of Cannabinoid CB2 Receptor–Mediated AMPK/CREB Pathway Reduces Cerebral Ischemic Injury. American Journal Of Pathology. 182(3). 928–939. 134 indexed citations
14.
Ju, Chung, Sun‐Young Hwang, Geum-Sil Cho, et al.. (2012). Differential anti-ischemic efficacy and therapeutic time window of trans- and cis-hinokiresinols: Stereo-specific antioxidant and anti-inflammatory activities. Neuropharmacology. 67. 465–475. 8 indexed citations
15.
Choi, In Young, Jae‐Chul Lee, Chung Ju, et al.. (2011). A3 Adenosine Receptor Agonist Reduces Brain Ischemic Injury and Inhibits Inflammatory Cell Migration in Rats. American Journal Of Pathology. 179(4). 2042–2052. 67 indexed citations
16.
Cai, Ying, Geum-Sil Cho, Chung Ju, et al.. (2011). Activated Microglia Are Less Vulnerable to Hemin Toxicity due to Nitric Oxide-Dependent Inhibition of JNK and p38 MAPK Activation. The Journal of Immunology. 187(3). 1314–1321. 34 indexed citations
17.
Ju, Chung, et al.. (2004). Intracellular pH-dependent peroxynitrite-evoked synergistic death of glucose-deprived astrocytes. Free Radical Biology and Medicine. 37(8). 1160–1169. 6 indexed citations
18.
Shin, Chan Young, et al.. (2001). Dehydroepiandrosterone inhibits the death of immunostimulated rat C6 glioma cells deprived of glucose. Brain Research. 922(2). 267–275. 15 indexed citations
19.
20.
Ju, Chung, et al.. (2000). Synergistic Depletion of Astrocytic Glutathione by Glucose Deprivation and Peroxynitrite. Journal of Neurochemistry. 74(5). 1989–1998. 48 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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