Jungwook Hwang

1.5k total citations
30 papers, 1.1k citations indexed

About

Jungwook Hwang is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Jungwook Hwang has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Epidemiology and 4 papers in Hepatology. Recurrent topics in Jungwook Hwang's work include RNA Research and Splicing (13 papers), RNA modifications and cancer (9 papers) and RNA and protein synthesis mechanisms (9 papers). Jungwook Hwang is often cited by papers focused on RNA Research and Splicing (13 papers), RNA modifications and cancer (9 papers) and RNA and protein synthesis mechanisms (9 papers). Jungwook Hwang collaborates with scholars based in South Korea, United States and France. Jungwook Hwang's co-authors include Lynne E. Maquat, Craig E. Cameron, Luyun Huang, Kevin D. Raney, Philip C. Bevilacqua, Xiaofeng Zheng, Subba Rao Nallagatla, Rebecca Toroney, Hanae Sato and Jamie J. Arnold and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jungwook Hwang

29 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
Jungwook Hwang South Korea 17 675 256 255 139 100 30 1.1k
Xinlei Li China 21 500 0.7× 215 0.8× 184 0.7× 81 0.6× 161 1.6× 62 1.1k
Yuezhou Chen China 16 902 1.3× 259 1.0× 83 0.3× 157 1.1× 56 0.6× 41 1.5k
Lei Cui China 20 547 0.8× 154 0.6× 155 0.6× 103 0.7× 21 0.2× 58 1.2k
Rajendra K. Pandey United States 14 1.3k 1.9× 70 0.3× 178 0.7× 156 1.1× 78 0.8× 22 1.6k
James Q. Yin China 13 620 0.9× 147 0.6× 117 0.5× 42 0.3× 26 0.3× 18 891
Lynn Huyck Belgium 6 292 0.4× 91 0.4× 74 0.3× 75 0.5× 59 0.6× 9 716
Qingchao Li China 14 266 0.4× 81 0.3× 83 0.3× 62 0.4× 39 0.4× 59 646
Kyle M. Schachtschneider United States 19 539 0.8× 69 0.3× 59 0.2× 128 0.9× 34 0.3× 52 1.1k
Zheng‐Yu Wang United States 22 693 1.0× 53 0.2× 45 0.2× 361 2.6× 27 0.3× 61 1.7k
Boan Li China 22 972 1.4× 58 0.2× 116 0.5× 124 0.9× 36 0.4× 65 1.4k

Countries citing papers authored by Jungwook Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Jungwook Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jungwook Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Jungwook Hwang. A scholar is included among the top collaborators of Jungwook 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 Jungwook Hwang. Jungwook 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.
2.
Jeong, Seong Dong, et al.. (2024). Role of UPF1 in lncRNA-HEIH regulation for hepatocellular carcinoma therapy. Experimental & Molecular Medicine. 56(2). 344–354. 5 indexed citations
3.
Jung, Seungwon, et al.. (2024). Role of UPF1-LIN28A interaction during early differentiation of pluripotent stem cells. Nature Communications. 15(1). 158–158. 3 indexed citations
4.
Oh, Ju‐Hee, Dae Won Jun, Hye Young Kim, et al.. (2022). Discovery of dipeptidyl peptidase-4 inhibitor specific biomarker in non-alcoholic fatty liver disease mouse models using modified basket trial. Clinical and Molecular Hepatology. 28(3). 497–509. 8 indexed citations
5.
Kim, Ho, Young Jae Choi, Sang Kyum Kim, et al.. (2021). Auranofin prevents liver fibrosis by system Xc-mediated inhibition of NLRP3 inflammasome. Communications Biology. 4(1). 824–824. 26 indexed citations
6.
Wang, Kang‐Kyun, Jungwook Hwang, Mingoo Kim, et al.. (2020). Lifetime and diffusion distance of singlet oxygen in air under everyday atmospheric conditions. Physical Chemistry Chemical Physics. 22(38). 21664–21671. 42 indexed citations
7.
Hwang, Jungwook, et al.. (2019). UPF1/SMG7-dependent microRNA-mediated gene regulation. Nature Communications. 10(1). 4181–4181. 23 indexed citations
8.
Chang, Mi‐Yoon, et al.. (2017). Lin28B and miR-142-3p regulate neuronal differentiation by modulating Staufen1 expression. Cell Death and Differentiation. 25(2). 432–443. 15 indexed citations
9.
Park, Jae Hyeon, et al.. (2016). Clearance of Damaged Mitochondria Through PINK1 Stabilization by JNK and ERK MAPK Signaling in Chlorpyrifos-Treated Neuroblastoma Cells. Molecular Neurobiology. 54(3). 1844–1857. 43 indexed citations
10.
Kim, Sobin, et al.. (2016). Simultaneous Determination of Multiple microRNA Levels Utilizing Biotinylated Dideoxynucleotides and Mass Spectrometry. PLoS ONE. 11(7). e0153201–e0153201. 6 indexed citations
11.
Park, Jae Hyeon, Juyeon Ko, Jungwook Hwang, & Hyun Chul Koh. (2015). Dynamin-related protein 1 mediates mitochondria-dependent apoptosis in chlorpyrifos-treated SH-SY5Y cells. NeuroToxicology. 51. 145–157. 32 indexed citations
12.
Ahn, Se-young, et al.. (2015). Insulin Signaling Augments eIF4E-Dependent Nonsense-Mediated mRNA Decay in Mammalian Cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(7). 896–905. 8 indexed citations
13.
Ahn, Se-young, et al.. (2014). Transient Receptor Potential Cation Channel V1 (TRPV1) Is Degraded by Starvation- and Glucocorticoid-Mediated Autophagy. Molecules and Cells. 37(3). 257–263. 24 indexed citations
14.
Kim, Min Young, Jee-Woong Park, J. Jack Lee, et al.. (2014). Staufen1-mediated mRNA decay induces Requiem mRNA decay through binding of Staufen1 to the Requiem 3'UTR. Nucleic Acids Research. 42(11). 6999–7011. 16 indexed citations
15.
Hwang, Jungwook, Michele R.S. Hargittai, Qingxia Han, et al.. (2014). Expanding the Proteome of an RNA Virus by Phosphorylation of an Intrinsically Disordered Viral Protein. Journal of Biological Chemistry. 289(35). 24397–24416. 18 indexed citations
16.
Hwang, Jungwook, Joon Ho Lee, Hojin Kim, et al.. (2014). Whitening Effect of Storage Protein 2 from Silkworm Hemolymph. Advances in Bioscience and Biotechnology. 5(9). 758–767. 2 indexed citations
17.
Hwang, Jungwook & Yoon Ki Kim. (2013). When a ribosome encounters a premature termination codon. BMB Reports. 46(1). 9–16. 34 indexed citations
18.
Hwang, Jungwook, Hanae Sato, Yalan Tang, Daiki Matsuda, & Lynne E. Maquat. (2010). UPF1 Association with the Cap-Binding Protein, CBP80, Promotes Nonsense-Mediated mRNA Decay at Two Distinct Steps. Molecular Cell. 39(3). 396–409. 89 indexed citations
19.
Hwang, Jungwook, Luyun Huang, Robert C. Vaughan, et al.. (2010). Hepatitis C Virus Nonstructural Protein 5A: Biochemical Characterization of a Novel Structural Class of RNA-Binding Proteins. Journal of Virology. 84(24). 12480–12491. 65 indexed citations
20.
Huang, Luyun, Jungwook Hwang, Suresh D. Sharma, et al.. (2005). Hepatitis C Virus Nonstructural Protein 5A (NS5A) Is an RNA-binding Protein. Journal of Biological Chemistry. 280(43). 36417–36428. 203 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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