Sung Wook

4.6k total citations · 3 hit papers
27 papers, 3.5k citations indexed

About

Sung Wook is a scholar working on Molecular Biology, Cancer Research and Nutrition and Dietetics. According to data from OpenAlex, Sung Wook has authored 27 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Cancer Research and 3 papers in Nutrition and Dietetics. Recurrent topics in Sung Wook's work include MicroRNA in disease regulation (11 papers), RNA Research and Splicing (10 papers) and RNA modifications and cancer (8 papers). Sung Wook is often cited by papers focused on MicroRNA in disease regulation (11 papers), RNA Research and Splicing (10 papers) and RNA modifications and cancer (8 papers). Sung Wook collaborates with scholars based in South Korea, United States and Japan. Sung Wook's co-authors include Robert B. Darnell, Aldo Mele, Julie B. Zang, Gregory J. Hannon, Jernej Ule, Jennifer C. Darnell, Melis Kayikci, Anthony Schweitzer, Donny D. Licatalosi and John J. Fak and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Sung Wook

25 papers receiving 3.5k citations

Hit Papers

Argonaute HITS-CLIP decodes microRNA–mRNA interaction maps 2008 2026 2014 2020 2009 2008 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Wook South Korea 16 3.2k 1.9k 187 100 97 27 3.5k
Sònia Guil Spain 23 2.8k 0.9× 1.6k 0.8× 122 0.7× 110 1.1× 177 1.8× 38 3.1k
Stefanie Jonas Germany 22 2.5k 0.8× 987 0.5× 174 0.9× 120 1.2× 126 1.3× 36 2.9k
S. Zucchelli Italy 27 1.9k 0.6× 1.1k 0.6× 275 1.5× 98 1.0× 214 2.2× 46 2.6k
Xiaolong Cui United States 18 2.9k 0.9× 1.3k 0.7× 80 0.4× 62 0.6× 118 1.2× 46 3.0k
Feizhen Wu China 24 2.8k 0.9× 837 0.4× 279 1.5× 94 0.9× 317 3.3× 51 3.4k
Alejandro P. Ugalde Spain 19 2.1k 0.7× 588 0.3× 107 0.6× 89 0.9× 154 1.6× 26 2.5k
Songshan Jiang China 24 1.4k 0.4× 1.2k 0.6× 102 0.5× 30 0.3× 53 0.5× 43 1.8k
Catherine A. Makarewich United States 28 3.0k 0.9× 1.1k 0.6× 147 0.8× 81 0.8× 143 1.5× 56 3.9k
Meritxell Alberich-Jordà Czechia 25 1.3k 0.4× 486 0.3× 258 1.4× 89 0.9× 96 1.0× 60 2.0k
Manjeet K. Rao United States 27 2.1k 0.7× 1.0k 0.5× 134 0.7× 83 0.8× 448 4.6× 67 2.7k

Countries citing papers authored by Sung Wook

Since Specialization
Citations

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

Fields of papers citing papers by Sung Wook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung Wook

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Wook. A scholar is included among the top collaborators of Sung Wook 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 Sung Wook. Sung Wook 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.
Kim, Bo-Kyeong, H. Lee, Jieun Seo, et al.. (2025). Dopamine D2 receptor modulation of insulin receptor signaling in the central amygdala: implications for compulsive-like eating behavior. Molecular Psychiatry. 31(2). 664–675.
2.
Kang, So Min, Wook Kim, Sung Wook, et al.. (2025). Identification of Tie2 as a sensor for reactive oxygen species and its therapeutic implication. Redox Biology. 81. 103555–103555.
3.
Lee, Seon Yong, Hee‐Sung Ahn, Young‐Gyu Ko, et al.. (2024). Migrasomal autophagosomes relieve endoplasmic reticulum stress in glioblastoma cells. BMC Biology. 22(1). 23–23. 15 indexed citations
4.
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
5.
Shin, Yoon Kyung, Yun Young Choi, Minjae Kang, et al.. (2023). βPix Guanine Nucleotide Exchange Factor Regulates Regeneration of Injured Peripheral Axons. International Journal of Molecular Sciences. 24(18). 14357–14357. 3 indexed citations
6.
Ahn, Seung Hyun, Hye-Sook Lee, Jung Lee, et al.. (2023). Widespread 8-oxoguanine modifications of miRNA seeds differentially regulate redox-dependent cancer development. Nature Cell Biology. 25(9). 1369–1383. 27 indexed citations
7.
Hahm, Ja Young, et al.. (2022). 8-Oxoguanine: from oxidative damage to epigenetic and epitranscriptional modification. Experimental & Molecular Medicine. 54(10). 1626–1642. 163 indexed citations breakdown →
8.
Ahn, Seung Hyun, et al.. (2021). AGO-accessible anticancer siRNAs designed with synergistic miRNA-like activity. Molecular Therapy — Nucleic Acids. 23. 1172–1190. 10 indexed citations
9.
Ahn, Seung Hyun, et al.. (2021). AGO CLIP-based imputation of potent siRNA sequences targeting SARS-CoV-2 with antifibrotic miRNA-like activity. Scientific Reports. 11(1). 19161–19161. 6 indexed citations
10.
Seok, Heeyoung, et al.. (2020). Position-specific oxidation of miR-1 encodes cardiac hypertrophy. Nature. 584(7820). 279–285. 101 indexed citations
11.
Park, Sihyung, et al.. (2018). CLIPick: a sensitive peak caller for expression-based deconvolution of HITS-CLIP signals. Nucleic Acids Research. 46(21). 11153–11168. 9 indexed citations
12.
Seok, Heeyoung, Eun-Sook Jang, & Sung Wook. (2016). Rationally designed siRNAs without miRNA-like off-target repression. BMB Reports. 49(3). 135–136. 15 indexed citations
13.
Seok, Heeyoung, et al.. (2016). MicroRNA Target Recognition: Insights from Transcriptome-Wide Non-Canonical Interactions. Molecules and Cells. 39(5). 375–381. 122 indexed citations
14.
Seok, Heeyoung, et al.. (2015). Abasic pivot substitution harnesses target specificity of RNA interference. Nature Communications. 6(1). 10154–10154. 41 indexed citations
15.
Wook, Sung, Gregory J. Hannon, & Robert B. Darnell. (2012). An alternative mode of microRNA target recognition. Nature Structural & Molecular Biology. 19(3). 321–327. 268 indexed citations
16.
Kim, Yong Jin, Seung‐Yup Ku, Zev Rosenwaks, et al.. (2010). MicroRNA Expression Profiles are Altered by Gonadotropins and Vitamin C Status During In Vitro Follicular Growth. Reproductive Sciences. 17(12). 1081–1089. 34 indexed citations
17.
Wook, Sung, Julie B. Zang, Aldo Mele, & Robert B. Darnell. (2009). Argonaute HITS-CLIP decodes microRNA–mRNA interaction maps. Nature. 460(7254). 479–486. 1424 indexed citations breakdown →
18.
Licatalosi, Donny D., Aldo Mele, John J. Fak, et al.. (2008). HITS-CLIP yields genome-wide insights into brain alternative RNA processing. Nature. 456(7221). 464–469. 1060 indexed citations breakdown →
19.
Wook, Sung, et al.. (2003). Gene Expression Pattern Analysis via Latent Variable Models Coupled with Topographic Clustering. Genomics & Informatics. 1(1). 32–39. 4 indexed citations
20.
Cho, Ssang‐Goo, Jin Woo Kim, Yong Hee Lee, et al.. (2003). Identification of a novel antiapoptotic protein that antagonizes ASK1 and CAD activities. The Journal of Cell Biology. 163(1). 71–81. 40 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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