Joonsung Hwang

2.2k total citations
37 papers, 1.1k citations indexed

About

Joonsung Hwang is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Joonsung Hwang has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Cell Biology. Recurrent topics in Joonsung Hwang's work include Ubiquitin and proteasome pathways (11 papers), Autophagy in Disease and Therapy (8 papers) and Microtubule and mitosis dynamics (4 papers). Joonsung Hwang is often cited by papers focused on Ubiquitin and proteasome pathways (11 papers), Autophagy in Disease and Therapy (8 papers) and Microtubule and mitosis dynamics (4 papers). Joonsung Hwang collaborates with scholars based in South Korea, United States and Japan. Joonsung Hwang's co-authors include Bo Yeon Kim, María I. Morasso, Yong Tae Kwon, Sarah E. Millar, Hyunjoo Cha‐Molstad, Nak‐Kyun Soung, Satoshi Nishikawa, Sung Tae Kim, Young Dong Yoo and Aaron Ciechanover and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Joonsung Hwang

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joonsung Hwang South Korea 22 771 227 182 178 96 37 1.1k
Neşe Atabey Türkiye 21 819 1.1× 238 1.0× 158 0.9× 293 1.6× 106 1.1× 60 1.6k
Koichi Yokota Japan 17 536 0.7× 125 0.6× 86 0.5× 161 0.9× 280 2.9× 45 1.2k
Tetiana Zaichuk United States 10 752 1.0× 106 0.5× 96 0.5× 119 0.7× 119 1.2× 11 1.1k
Tina Cirman Slovenia 5 725 0.9× 227 1.0× 308 1.7× 99 0.6× 132 1.4× 5 1.1k
F C Ramaekers Netherlands 21 840 1.1× 398 1.8× 99 0.5× 161 0.9× 101 1.1× 27 1.5k
Christopher J. Wraight Australia 21 683 0.9× 280 1.2× 71 0.4× 99 0.6× 247 2.6× 31 1.3k
Helen Deng United States 14 697 0.9× 160 0.7× 150 0.8× 319 1.8× 216 2.3× 17 1.4k
Giulia Allavena Italy 16 643 0.8× 203 0.9× 197 1.1× 73 0.4× 180 1.9× 26 1.0k

Countries citing papers authored by Joonsung Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Joonsung Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joonsung Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Joonsung Hwang. A scholar is included among the top collaborators of Joonsung Hwang 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 Joonsung Hwang. Joonsung Hwang 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.
Yu, Ji Eun, Sun‐Ok Kim, Jin Tae Hong, et al.. (2021). Phosphorylation of β‐catenin Ser60 by polo‐like kinase 1 drives the completion of cytokinesis. EMBO Reports. 22(12). e51503–e51503. 9 indexed citations
2.
Kang, Ji In, Dong Hyun Kim, Ki Woon Sung, et al.. (2021). p62-Induced Cancer-Associated Fibroblast Activation via the Nrf2-ATF6 Pathway Promotes Lung Tumorigenesis. Cancers. 13(4). 864–864. 33 indexed citations
3.
Kim, Jihyo, Jung Gi Kim, Shinyeong Ju, et al.. (2021). R-catcher, a potent molecular tool to unveil the arginylome. Cellular and Molecular Life Sciences. 78(7). 3725–3741. 8 indexed citations
4.
Zhang, Yuanyuan, Xiaodan Shi, Xiaomeng Xie, et al.. (2021). Harmaline isolated from Peganum harmala suppresses growth of esophageal squamous cell carcinoma through targeting mTOR. Phytotherapy Research. 35(11). 6377–6388. 14 indexed citations
5.
Park, Chanmi, Joonsung Hwang, In‐Ja Ryoo, et al.. (2020). CPPF, A Novel Microtubule Targeting Anticancer Agent, Inhibits the Growth of a Wide Variety of Cancers. International Journal of Molecular Sciences. 21(13). 4800–4800. 6 indexed citations
6.
Kim, Dong Hyun, Jong Seog Ahn, Hyemin Kim, et al.. (2019). Cep131 overexpression promotes centrosome amplification and colon cancer progression by regulating Plk4 stability. Cell Death and Disease. 10(8). 570–570. 30 indexed citations
7.
Kim, Hye Min, Long He, Sangku Lee, et al.. (2019). Inhibition of osteoclasts differentiation by CDC2-induced NFATc1 phosphorylation. Bone. 131. 115153–115153. 12 indexed citations
8.
Hwang, Joonsung, Sangku Lee, Daehwan Kim, et al.. (2018). Peptide nucleic acid (PNA) probe‐based analysis to detect filaggrin mutations in atopic dermatitis patients. Experimental Dermatology. 27(11). 1304–1308. 4 indexed citations
9.
Park, Chan-Woo, Yesol Bak, Minje Kim, et al.. (2018). The Novel Small Molecule STK899704 Promotes Senescence of the Human A549 NSCLC Cells by Inducing DNA Damage Responses and Cell Cycle Arrest. Frontiers in Pharmacology. 9. 163–163. 15 indexed citations
10.
Yoo, Young Dong, Dae‐Hee Lee, Hyunjoo Cha‐Molstad, et al.. (2016). Glioma‐derived cancer stem cells are hypersensitive to proteasomal inhibition. EMBO Reports. 18(1). 150–168. 31 indexed citations
11.
Liu, Kangdong, Chanmi Park, Hanyong Chen, et al.. (2014). Eupafolin suppresses prostate cancer by targeting phosphatidylinositol 3‐kinase‐mediated Akt signaling. Molecular Carcinogenesis. 54(9). 751–760. 30 indexed citations
12.
13.
Liu, Haidan, Joonsung Hwang, Wei Li, et al.. (2013). A Derivative of Chrysin Suppresses Two-Stage Skin Carcinogenesis by Inhibiting Mitogen- and Stress-Activated Kinase 1. Cancer Prevention Research. 7(1). 74–85. 20 indexed citations
14.
Kim, Sung Tae, Takafumi Tasaki, Adriana Zakrzewska, et al.. (2013). The N-end rule proteolytic system in autophagy. Autophagy. 9(7). 1100–1103. 25 indexed citations
15.
He, Long, Junwon Lee, Jae Hyuk Jang, et al.. (2012). Osteoporosis regulation by salubrinal through eIF2α mediated differentiation of osteoclast and osteoblast. Cellular Signalling. 25(2). 552–560. 68 indexed citations
16.
Xu, Qijin, Xueer Yuan, Patrizia Tunici, et al.. (2009). Isolation of tumour stem-like cells from benign tumours. British Journal of Cancer. 101(2). 303–311. 89 indexed citations
17.
Hwang, Joonsung, Meeyul Hwang, David E. Anderson, et al.. (2007). Role of Scarf and Its Binding Target Proteins in Epidermal Calcium Homeostasis. Journal of Biological Chemistry. 282(25). 18645–18653. 18 indexed citations
18.
Hwang, Joonsung & Satoshi Nishikawa. (2006). Novel Approach to Analyzing RNA Aptamer–Protein Interactions: Toward Further Applications of Aptamers. SLAS DISCOVERY. 11(6). 599–605. 18 indexed citations
19.
Fukuda, Kotaro, Daesety Vishnuvardhan, Satoru Sekiya, et al.. (2000). Isolation and characterization of RNA aptamers specific for the hepatitis C virus nonstructural protein 3 protease. European Journal of Biochemistry. 267(12). 3685–3694. 88 indexed citations
20.
Hwang, Joonsung, Kotaro Fukuda, Satoru Sekiya, et al.. (2000). The RNA Aptamer-Binding Site of Hepatitis C Virus NS3 Protease. Biochemical and Biophysical Research Communications. 279(2). 557–562. 30 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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