Seong‐Tae Kim

10.5k total citations · 3 hit papers
154 papers, 7.3k citations indexed

About

Seong‐Tae Kim is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Seong‐Tae Kim has authored 154 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 29 papers in Genetics and 23 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Seong‐Tae Kim's work include Prostate Cancer Treatment and Research (20 papers), Genetic Associations and Epidemiology (19 papers) and DNA Repair Mechanisms (11 papers). Seong‐Tae Kim is often cited by papers focused on Prostate Cancer Treatment and Research (20 papers), Genetic Associations and Epidemiology (19 papers) and DNA Repair Mechanisms (11 papers). Seong‐Tae Kim collaborates with scholars based in South Korea, United States and Sweden. Seong‐Tae Kim's co-authors include Michael B. Kastan, Bo Xu, Dae‐Sik Lim, Christine E. Canman, Richard S. Maser, Jing‐Jer Lin, John H.J. Petrini, Jielin Sun, Won‐Ki Huh and William B. Isaacs and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Seong‐Tae Kim

141 papers receiving 7.2k citations

Hit Papers

Substrate Specificities and Identification of Putative Su... 1999 2026 2008 2017 1999 2000 2001 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong‐Tae Kim South Korea 41 5.5k 2.0k 1.6k 987 840 154 7.3k
Qiang Yu Singapore 55 6.0k 1.1× 1.9k 0.9× 1.9k 1.1× 552 0.6× 651 0.8× 139 8.4k
Ching C. Lau Hong Kong 50 4.8k 0.9× 2.0k 1.0× 1.8k 1.1× 661 0.7× 838 1.0× 155 8.4k
Xiaojiang Cui United States 42 3.6k 0.7× 2.2k 1.1× 2.0k 1.2× 764 0.8× 400 0.5× 121 6.1k
Eugenio Santos Spain 45 5.8k 1.1× 2.2k 1.1× 1.1k 0.7× 1.0k 1.1× 873 1.0× 154 8.3k
Wilbert Zwart Netherlands 39 3.9k 0.7× 1.4k 0.7× 1.2k 0.8× 1.2k 1.2× 850 1.0× 152 6.5k
Ceshi Chen China 49 5.2k 1.0× 1.6k 0.8× 1.6k 1.0× 915 0.9× 656 0.8× 182 6.8k
Stefan Wiemann Germany 51 5.8k 1.1× 1.2k 0.6× 2.1k 1.3× 753 0.8× 653 0.8× 186 8.8k
Jukka Westermarck Finland 45 5.5k 1.0× 2.4k 1.2× 2.3k 1.4× 510 0.5× 921 1.1× 116 8.8k
Viji Shridhar United States 47 4.5k 0.8× 1.4k 0.7× 1.4k 0.9× 647 0.7× 1.2k 1.5× 126 7.2k
Pearlly S. Yan United States 50 6.5k 1.2× 1.7k 0.8× 1.7k 1.1× 1.3k 1.4× 304 0.4× 139 8.6k

Countries citing papers authored by Seong‐Tae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seong‐Tae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong‐Tae 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 Seong‐Tae Kim. The network helps show where Seong‐Tae Kim may publish in the future.

Co-authorship network of co-authors of Seong‐Tae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Tae Kim. A scholar is included among the top collaborators of Seong‐Tae 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 Seong‐Tae Kim. Seong‐Tae 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.
Roy, Kaushik, et al.. (2025). Hybrid Deep Machine Learning Feature Selection for High-Dimensional Cybersecurity Data. IEEE Access. 13. 172136–172156.
2.
Kim, Seong‐Tae, et al.. (2024). Interaction Selection and Prediction Performance in High-Dimensional Data: A Comparative Study of Statistical and Tree-Based Methods. Journal of Data Science. 259–279. 2 indexed citations
3.
Jo, Hyunji, et al.. (2019). Analysis of phototoxin taste closely correlates nucleophilicity to type 1 phototoxicity. Proceedings of the National Academy of Sciences. 116(24). 12013–12018. 6 indexed citations
4.
Kim, Seong‐Tae, et al.. (2014). Accounting for Ins and Outs of Unemployment in Korea. Korea and the World Economy. 15(1). 17–44. 2 indexed citations
5.
Jin, Guangfu, Jielin Sun, Seong‐Tae Kim, et al.. (2012). Genome-wide association study identifies a new locus JMJD1C at 10q21 that may influence serum androgen levels in men. Human Molecular Genetics. 21(23). 5222–5228. 61 indexed citations
6.
Tao, Shasha, Zhong Wang, Junjie Feng, et al.. (2012). A genome-wide search for loci interacting with known prostate cancer risk-associated genetic variants. Carcinogenesis. 33(3). 598–603. 31 indexed citations
7.
Feng, Junjie, Jielin Sun, Seong‐Tae Kim, et al.. (2011). A Genome-Wide Survey over the ChIP-On-Chip Identified Androgen Receptor-Binding Genomic Regions Identifies a Novel Prostate Cancer Susceptibility Locus at 12q13.13. Cancer Epidemiology Biomarkers & Prevention. 20(11). 2396–2403. 7 indexed citations
8.
Jin, Guangfu, Jielin Sun, Sarah D. Isaacs, et al.. (2011). Human polymorphisms at long non-coding RNAs (lncRNAs) and association with prostate cancer risk. Carcinogenesis. 32(11). 1655–1659. 112 indexed citations
9.
Hsu, Fang‐Chi, Jielin Sun, Yi Zhu, et al.. (2010). Comparison of Two Methods for Estimating Absolute Risk of Prostate Cancer Based on Single Nucleotide Polymorphisms and Family History. Cancer Epidemiology Biomarkers & Prevention. 19(4). 1083–1088. 14 indexed citations
10.
Feng, Junjie, Jielin Sun, Michael Zhuo Wang, et al.. (2010). Compilation of a Comprehensive Gene Panel for Systematic Assessment of Genes that Govern an Individual’s Drug Responses. Pharmacogenomics. 11(10). 1403–1425. 11 indexed citations
11.
Kim, Seong‐Tae. (2010). The Effects of Voice Therapy in Age-related Dysphonia. Phonetics and Speech Sciences. 2(2). 117–121. 3 indexed citations
12.
Hsu, Fang‐Chi, Jielin Sun, Fredrik Wiklund, et al.. (2009). A Novel Prostate Cancer Susceptibility Locus at 19q13. Cancer Research. 69(7). 2720–2723. 36 indexed citations
13.
Liu, Wennuan, Jishan Sun, Ge Li, et al.. (2009). Association of a Germ-Line Copy Number Variation at 2p24.3 and Risk for Aggressive Prostate Cancer. Cancer Research. 69(6). 2176–2179. 58 indexed citations
14.
Sun, Jielin, Siqun L. Zheng, Fredrik Wiklund, et al.. (2008). Sequence Variants at 22q13 Are Associated with Prostate Cancer Risk. Cancer Research. 69(1). 10–15. 79 indexed citations
15.
Kim, Heejung, et al.. (2006). 10.2: Low‐Voltage Pentacene OTFTs with High‐K Gate Dielectric and its Application to AMOLED. SID Symposium Digest of Technical Papers. 37(1). 112–115. 4 indexed citations
16.
Lee, Bong‐Jin, et al.. (2005). The Effect of Indwelling Silk Suture Following Aspiration in the Treatment of Chronic Lateral Malleolar Bursitis. Journal of Korean Foot and Ankle Society. 9(1). 38–41. 1 indexed citations
17.
Xu, Bo, Seong‐Tae Kim, & Michael B. Kastan. (2001). Involvement of Brca1 in S-Phase and G 2 -Phase Checkpoints after Ionizing Irradiation. Molecular and Cellular Biology. 21(10). 3445–3450. 446 indexed citations
18.
Huh, Won‐Ki, Seong‐Tae Kim, Hyungsoo Kim, Gajin Jeong, & Sa-Ouk Kang. (2001). Deficiency of d -Erythroascorbic Acid Attenuates Hyphal Growth and Virulence of Candida albicans. Infection and Immunity. 69(6). 3939–3946. 42 indexed citations
19.
Kim, Seong‐Tae, et al.. (2001). Hydrophobic Modification of Polyethyleneimine for Gene Transfectants. Bulletin of the Korean Chemical Society. 22(10). 1069–1075. 36 indexed citations
20.
Lim, Dae‐Sik, Seong‐Tae Kim, Bo Xu, et al.. (2000). ATM phosphorylates p95/nbs1 in an S-phase checkpoint pathway. Nature. 404(6778). 613–617. 643 indexed citations breakdown →

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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