Jae‐Bong Park

2.1k total citations
88 papers, 1.6k citations indexed

About

Jae‐Bong Park is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Jae‐Bong Park has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 18 papers in Cell Biology and 16 papers in Physiology. Recurrent topics in Jae‐Bong Park's work include Neuroscience and Neuropharmacology Research (12 papers), Cellular transport and secretion (12 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). Jae‐Bong Park is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Cellular transport and secretion (12 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). Jae‐Bong Park collaborates with scholars based in South Korea, United States and Bangladesh. Jae‐Bong Park's co-authors include Jae‐Yong Lee, Jaebong Kim, Jae-Gyu Kim, Hee‐Jun Kim, Yong‐Sun Kim, Rokibul Islam, Jong‐Il Kim, Pyeung-Hyeun Kim, Sungchan Kim and Yohan Park and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Biochemical Journal.

In The Last Decade

Jae‐Bong Park

86 papers receiving 1.6k 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‐Bong Park South Korea 24 860 280 220 217 198 88 1.6k
Sridar V. Chittur United States 29 1.4k 1.7× 288 1.0× 337 1.5× 135 0.6× 366 1.8× 77 2.5k
Jung Min Ryu South Korea 28 922 1.1× 187 0.7× 201 0.9× 237 1.1× 209 1.1× 56 1.7k
Bimal N. Desai United States 20 1.3k 1.5× 365 1.3× 257 1.2× 213 1.0× 117 0.6× 30 2.3k
Young Chul Yang United States 19 1.1k 1.3× 196 0.7× 103 0.5× 222 1.0× 191 1.0× 33 1.7k
Takamitsu Hori Japan 17 1.1k 1.2× 229 0.8× 138 0.6× 250 1.2× 185 0.9× 59 1.9k
Fang Lin China 22 754 0.9× 234 0.8× 203 0.9× 145 0.7× 133 0.7× 45 1.6k
Tetsuya Hirabayashi Japan 18 1.0k 1.2× 192 0.7× 271 1.2× 298 1.4× 104 0.5× 40 1.7k
Ilja Vietor Austria 22 856 1.0× 205 0.7× 163 0.7× 112 0.5× 227 1.1× 42 1.5k
Yongting Luo China 25 1.1k 1.2× 359 1.3× 123 0.6× 132 0.6× 304 1.5× 62 2.0k
Rosario Ammendola Italy 27 1.5k 1.7× 331 1.2× 306 1.4× 93 0.4× 279 1.4× 54 2.2k

Countries citing papers authored by Jae‐Bong Park

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Bong Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Bong Park. 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‐Bong Park. The network helps show where Jae‐Bong Park may publish in the future.

Co-authorship network of co-authors of Jae‐Bong Park

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Bong Park. A scholar is included among the top collaborators of Jae‐Bong Park 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‐Bong Park. Jae‐Bong Park 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.
Hamza, Amir, et al.. (2025). Function of eEF-1γ in the nucleus in response to insulin in hepatocellular carcinoma cells. Communications Biology. 8(1). 826–826.
2.
Park, Yohan, et al.. (2024). Function of a complex of p‐ Y42 RhoA GTPase and pyruvate kinase M2 in EGF signaling pathway in glioma cells. Journal of Neurochemistry. 169(1). e16210–e16210. 3 indexed citations
3.
Hamza, Amir, et al.. (2023). Extracellular pyruvate kinase M2 induces cell migration through p-Tyr42 RhoA-mediated superoxide generation and epithelial-mesenchymal transition. Free Radical Biology and Medicine. 208. 614–629. 5 indexed citations
4.
Hamza, Amir, et al.. (2023). The Complex of p-Tyr42 RhoA and p-p65/RelA in Response to LPS Regulates the Expression of Phosphoglycerate Kinase 1. Antioxidants. 12(12). 2090–2090. 2 indexed citations
5.
Choi, Bo Young, Min-Kyu Park, Sihyun Lee, et al.. (2023). Effects of Pyruvate Kinase M2 (PKM2) Gene Deletion on Astrocyte-Specific Glycolysis and Global Cerebral Ischemia-Induced Neuronal Death. Antioxidants. 12(2). 491–491. 20 indexed citations
6.
Kim, Hyunbin, et al.. (2019). Aβ modulates actin cytoskeleton via SHIP2-mediated phosphoinositide metabolism. Scientific Reports. 9(1). 15557–15557. 16 indexed citations
7.
Kim, Jeong‐Hyeon, Jungmin Lee, Yoonjung Kho, et al.. (2016). FOXO3a Activation by oxyresveratrol ofMorus bombyciskoidzumi extract mediates antioxidant activity. Animal Cells and Systems. 20(1). 39–47. 8 indexed citations
8.
Kim, Myoung‐Ju, Hee‐Jun Kim, Jae‐Yong Lee, et al.. (2016). Wnt3A Induces GSK‐3β Phosphorylation and β‐Catenin Accumulation Through RhoA/ROCK. Journal of Cellular Physiology. 232(5). 1104–1113. 49 indexed citations
9.
Lee, Jeong Min, Soon Sung Lim, Sung Chan Kim, et al.. (2016). Anti-obesity effect of Solidago virgaaurea extract in high-fat diet-fed SD rat. Animal Cells and Systems. 20(6). 335–343. 3 indexed citations
10.
Yoon, Jaeho, et al.. (2014). PV.1 Suppresses the Expression of FoxD5b during Neural Induction in Xenopus Embryos. Molecules and Cells. 37(3). 220–225. 9 indexed citations
11.
Kim, Jeong‐Hyeon, Jeong Min Lee, Sungchan Kim, et al.. (2013). Antioxidant Activity and Its Mechanism of Paeonia lactiflora Pall Extract. Natural Product Sciences. 19(1). 49–53. 3 indexed citations
12.
Kim, Hee‐Jun, Jae‐Yong Lee, Jaebong Kim, et al.. (2013). Small GTPase Rap1 regulates cell migration through regulation of small GTPase RhoA activity in response to transforming growth factor‐β1. Journal of Cellular Physiology. 228(11). 2119–2126. 22 indexed citations
14.
Oh, Soo Jin, Yoonjung Kho, Jeong‐Hyeon Kim, et al.. (2012). ATM mediates interdependent activation of p53 and ERK through formation of a ternary complex with p-p53 and p-ERK in response to DNA damage. Molecular Biology Reports. 39(8). 8007–8014. 23 indexed citations
15.
Park, Seong‐Hoon, Hongjun Kang, Hyun-Seok Kim, et al.. (2011). Higher DNA repair activity is related with longer replicative life span in mammalian embryonic fibroblast cells. Biogerontology. 12(6). 565–579. 10 indexed citations
16.
Jin, Jae‐Kwang, Youngho Koh, Wook Chun, et al.. (2010). Neurites from PC12 cells are connected to each other by synapse‐like structures. Synapse. 64(10). 765–772. 29 indexed citations
17.
Kim, Young-Eun, Jae‐Bong Park, Yong‐Sun Kim, et al.. (2009). Expression of human β-defensin-2 gene induced by CpG-DNA in human B cells. Biochemical and Biophysical Research Communications. 389(3). 443–448. 14 indexed citations
18.
Bae, Chang‐Dae, et al.. (1995). Purification and Characterization of Glyoxalase II from Bovine Liver. Experimental & Molecular Medicine. 27(2). 99–103. 1 indexed citations
19.
Lee, Jeong‐Yeol, et al.. (1991). Reaction Mechanism of Protein Crosslinking by Methylglyoxal. Experimental & Molecular Medicine. 23(2). 231–235. 1 indexed citations
20.
Park, Jae‐Bong, et al.. (1989). Methylglyoxal induces Crosslinking of Protein in vitro. Experimental & Molecular Medicine. 21(2). 75–80. 4 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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