Su Yeon Kim

1.8k total citations
46 papers, 1.2k citations indexed

About

Su Yeon Kim is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Su Yeon Kim has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Genetics. Recurrent topics in Su Yeon Kim's work include RNA and protein synthesis mechanisms (6 papers), Skin Protection and Aging (4 papers) and melanin and skin pigmentation (4 papers). Su Yeon Kim is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Skin Protection and Aging (4 papers) and melanin and skin pigmentation (4 papers). Su Yeon Kim collaborates with scholars based in South Korea, United States and Australia. Su Yeon Kim's co-authors include Jonathan K. Pritchard, Jean‐Baptiste Veyrieras, Yoav Gilad, Emmanouil T. Dermitzakis, Matthew Stephens, Sridhar Kudaravalli, Terence P. Speed, Jeewoo Lee, Hailan Li and Ho Seong Jang and has published in prestigious journals such as PLoS ONE, Biomaterials and Biochemical and Biophysical Research Communications.

In The Last Decade

Su Yeon Kim

44 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
Su Yeon Kim South Korea 17 719 334 150 101 72 46 1.2k
Tsui‐Ting Ching United States 18 822 1.1× 318 1.0× 234 1.6× 139 1.4× 111 1.5× 30 1.7k
Aya Fukuda Japan 22 1.3k 1.8× 153 0.5× 119 0.8× 113 1.1× 62 0.9× 50 1.9k
Hongyu Wang China 16 1.2k 1.7× 163 0.5× 263 1.8× 129 1.3× 68 0.9× 44 1.5k
Carlos Romá‐Mateo Spain 21 704 1.0× 277 0.8× 84 0.6× 49 0.5× 79 1.1× 52 1.3k
X-J Yang China 10 1.1k 1.5× 158 0.5× 143 1.0× 199 2.0× 35 0.5× 19 1.3k
Outhiriaradjou Benard United States 19 715 1.0× 154 0.5× 102 0.7× 222 2.2× 117 1.6× 29 1.3k
Jinu Lee South Korea 19 1.1k 1.6× 201 0.6× 330 2.2× 171 1.7× 103 1.4× 64 1.8k
Darren E. Casteel United States 27 1.4k 2.0× 245 0.7× 166 1.1× 245 2.4× 157 2.2× 53 2.1k
Tie-Shan Tang China 23 1.1k 1.5× 199 0.6× 134 0.9× 127 1.3× 143 2.0× 54 1.6k

Countries citing papers authored by Su Yeon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Su Yeon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Yeon Kim. 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 Su Yeon Kim. The network helps show where Su Yeon Kim may publish in the future.

Co-authorship network of co-authors of Su Yeon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Su Yeon Kim. A scholar is included among the top collaborators of Su Yeon Kim 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 Su Yeon Kim. Su Yeon Kim 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.
Lee, Bok‐Soon, Yea–In Park, Su Yeon Kim, et al.. (2025). The role of 7-dehydrocholesterol in inducing ER stress and apoptosis of head and neck squamous cell carcinoma. Cancer Letters. 628. 217842–217842. 3 indexed citations
2.
3.
Kim, Su Yeon, et al.. (2018). Functional Identification of Compound Heterozygous Mutations in the CYP17A1 Gene Resulting in Combined 17α-Hydroxylase/17,20-Lyase Deficiency. Endocrinology and Metabolism. 33(3). 413–413. 1 indexed citations
4.
5.
Kim, Su Yeon, Laurent Jacob, & Terence P. Speed. (2014). Combining calls from multiple somatic mutation-callers. BMC Bioinformatics. 15(1). 154–154. 16 indexed citations
6.
Roh, Eun Youn, Jung Lim Lee, Jong Hyun Yoon, et al.. (2014). Current status of Cord Blood Banking During First Two Years of ‘National Government-Assigned Public Cord Blood Banks Operation’ in Korea. Stem Cell Reviews and Reports. 10(5). 627–632. 3 indexed citations
7.
Kim, Su Yeon, Hye-Young Yun, Kwang Jin Baek, et al.. (2014). Docosahexaenoic acid inhibits melanin synthesis in murine melanoma cells in vitro through increasing tyrosinase degradation. Acta Pharmacologica Sinica. 35(4). 489–495. 20 indexed citations
8.
Kim, Su Yeon & Terence P. Speed. (2013). Comparing somatic mutation-callers: beyond Venn diagrams. BMC Bioinformatics. 14(1). 189–189. 46 indexed citations
9.
Jang, Gun, Mintai P. Hwang, Su Yeon Kim, Ho Seong Jang, & Kwan H. Lee. (2013). A systematic in-vivo toxicity evaluation of nanophosphor particles via zebrafish models. Biomaterials. 35(1). 440–449. 57 indexed citations
10.
Choi, Hoyun, et al.. (2012). Characterization of naturally Epstein–Barr virus-infected gastric carcinoma cell line YCCEL1. Journal of General Virology. 94(3). 497–506. 49 indexed citations
11.
Song, Jiho, et al.. (2012). Discovery of small molecules that inhibit melanogenesis via regulation of tyrosinase expression. Bioorganic & Medicinal Chemistry Letters. 22(22). 6943–6946. 11 indexed citations
12.
Kim, Su Yeon, Hoh‐Gyu Hahn, Kee Dal Nam, et al.. (2011). A derivative of 2-aminothiazole inhibits melanogenesis in B16 mouse melanoma cells via glycogen synthase kinase 3β phosphorylation. Journal of Pharmacy and Pharmacology. 63(8). 1031–1036. 6 indexed citations
13.
Li, Hailan, Jong‐Hyuk Lee, Su Yeon Kim, et al.. (2011). Phosphatidylcholine induces apoptosis of 3T3-L1 adipocytes. Journal of Biomedical Science. 18(1). 91–91. 25 indexed citations
14.
Veyrieras, Jean‐Baptiste, Sridhar Kudaravalli, Su Yeon Kim, et al.. (2008). High-Resolution Mapping of Expression-QTLs Yields Insight into Human Gene Regulation. PLoS Genetics. 4(10). e1000214–e1000214. 384 indexed citations
15.
Kim, Su Yeon, et al.. (2006). Pharmacophore-based virtual screening: The discovery of novel methionyl-tRNA synthetase inhibitors. Bioorganic & Medicinal Chemistry Letters. 16(18). 4898–4907. 16 indexed citations
16.
Lee, Jeewoo, et al.. (2005). 2-Benzyl and 2-phenyl-3-hydroxypropyl pivalates as protein kinase C ligands. Bioorganic & Medicinal Chemistry. 14(6). 2022–2031. 14 indexed citations
17.
Kim, Sung Eun, Su Yeon Kim, Sung‐Hoon Kim, Taehee Kang, & Jeewoo Lee. (2005). Deoxyribosyl analogues of methionyl and isoleucyl sulfamate adenylates as inhibitors of methionyl-tRNA and isoleucyl-tRNA synthetases. Bioorganic & Medicinal Chemistry Letters. 15(14). 3389–3393. 21 indexed citations
18.
Lee, Jeewoo, Jeewoo Lee, Sung Eun Kim, et al.. (2003). N-Alkoxysulfamide, N-hydroxysulfamide, and sulfamate analogues of methionyl and isoleucyl adenylates as inhibitors of methionyl-tRNA and isoleucyl-tRNA synthetases. Bioorganic & Medicinal Chemistry Letters. 13(6). 1087–1092. 33 indexed citations
19.
Kim, Su Yeon & Jeewoo Lee. (2003). 3-D-QSAR study and molecular docking of methionyl-tRNA synthetase inhibitors. Bioorganic & Medicinal Chemistry. 11(24). 5325–5331. 10 indexed citations
20.
Lee, Jeewoo, et al.. (2001). Vanilloid and isovanilloid analogues as inhibitors of methionyl-tRNA and isoleucyl-tRNA synthetases. Bioorganic & Medicinal Chemistry Letters. 11(8). 965–968. 18 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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