Sung‐Joon Park

2.7k total citations
116 papers, 1.4k citations indexed

About

Sung‐Joon Park is a scholar working on Molecular Biology, Ocean Engineering and Computer Networks and Communications. According to data from OpenAlex, Sung‐Joon Park has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 22 papers in Ocean Engineering and 20 papers in Computer Networks and Communications. Recurrent topics in Sung‐Joon Park's work include Underwater Vehicles and Communication Systems (21 papers), Water Quality Monitoring Technologies (13 papers) and Energy Efficient Wireless Sensor Networks (12 papers). Sung‐Joon Park is often cited by papers focused on Underwater Vehicles and Communication Systems (21 papers), Water Quality Monitoring Technologies (13 papers) and Energy Efficient Wireless Sensor Networks (12 papers). Sung‐Joon Park collaborates with scholars based in South Korea, Japan and United States. Sung‐Joon Park's co-authors include Kenta Nakai, Jaewoo Kang, Miho Ohsugi, Katsuhiko Shirahige, Jong Hun Lee, Junho Jeon, Sunkyu Kim, Minji Jeon, Kaori Yamada and Makiko Komata and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Sung‐Joon Park

106 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung‐Joon Park South Korea 22 828 159 112 109 101 116 1.4k
Hongwei Chen China 19 845 1.0× 100 0.6× 64 0.6× 52 0.5× 283 2.8× 49 1.4k
Zhenqiang Su United States 21 817 1.0× 244 1.5× 61 0.5× 131 1.2× 29 0.3× 47 1.5k
Francisco Tirado Spain 19 825 1.0× 201 1.3× 18 0.2× 152 1.4× 197 2.0× 97 2.0k
Jihong Shen China 22 545 0.7× 154 1.0× 32 0.3× 40 0.4× 29 0.3× 149 1.5k
Alejandro F. Villaverde Spain 24 929 1.1× 35 0.2× 43 0.4× 46 0.4× 46 0.5× 61 1.8k
Xiong Liu United States 15 568 0.7× 59 0.4× 23 0.2× 42 0.4× 40 0.4× 47 1.1k
Yuya Nishida Japan 19 1.8k 2.2× 268 1.7× 222 2.0× 72 0.7× 29 0.3× 118 3.6k
Jianqiang Sun China 21 1.0k 1.2× 458 2.9× 21 0.2× 106 1.0× 30 0.3× 78 2.1k
Joe Pitt‐Francis United Kingdom 20 676 0.8× 64 0.4× 14 0.1× 92 0.8× 53 0.5× 52 1.8k
Fei Feng China 22 424 0.5× 83 0.5× 20 0.2× 121 1.1× 358 3.5× 79 1.7k

Countries citing papers authored by Sung‐Joon Park

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Joon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Joon Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Joon Park. A scholar is included among the top collaborators of Sung‐Joon Park 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‐Joon Park. Sung‐Joon Park 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.
Yang, Yujin, Sung‐Joon Park, Ann I. Zabludoff, et al.. (2025). Using Polarization to Uncover the Lyα Emission Mechanism in Lyα Nebulae. The Astrophysical Journal. 989(2). 211–211.
2.
Dai, Yutong, Wenyu Zhang, Yu‐Hsuan Chang, et al.. (2025). Machine Learning‐Based Predictive Modeling Maximizes the Efficacy of mTOR /p53 Co‐Targeting Therapy Against AML. Cancer Science. 116(11). 3040–3051.
3.
Zeng, Xin, et al.. (2025). STAIG: Spatial transcriptomics analysis via image-aided graph contrastive learning for domain exploration and alignment-free integration. Nature Communications. 16(1). 1067–1067. 2 indexed citations
4.
Zeng, Xin, et al.. (2024). Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer. Frontiers in Immunology. 15. 1497251–1497251. 1 indexed citations
5.
Hui, H., Phillip Korngut, Chi H. Nguyen, et al.. (2024). Spectral response of the SPHEREx telescope. 248–248.
6.
Zhang, Yubo, et al.. (2023). Multi-omics computational analysis unveils the involvement of AP-1 and CTCF in hysteresis of chromatin states during macrophage polarization. Frontiers in Immunology. 14. 1304778–1304778. 4 indexed citations
7.
Park, Sung‐Joon, et al.. (2023). Fresnel-type solid immersion lens for efficient light collection from quantum defects in diamond. Optics Express. 31(12). 20586–20586. 3 indexed citations
8.
Hayashi, Ryuhei, Toru Okubo, Yuji Kudo, et al.. (2022). Generation of 3D lacrimal gland organoids from human pluripotent stem cells. Nature. 605(7908). 126–131. 51 indexed citations
9.
Yamanaka, Soichiro, Hidenori Nishihara, Hidehiro Toh, et al.. (2019). Broad Heterochromatic Domains Open in Gonocyte Development Prior to De Novo DNA Methylation. Developmental Cell. 51(1). 21–34.e5. 27 indexed citations
10.
Park, Sung‐Joon, Satoru Onizuka, Masahide Seki, et al.. (2019). A systematic sequencing-based approach for microbial contaminant detection and functional inference. BMC Biology. 17(1). 72–72. 14 indexed citations
11.
Lee, Kyubum, Yonghwa Choi, Sunkyu Kim, et al.. (2018). Deep learning of mutation-gene-drug relations from the literature. BMC Bioinformatics. 19(1). 21–21. 32 indexed citations
12.
Park, Sung‐Joon, Jung Min Kim, Won‐Ho Shin, et al.. (2018). BTNET : boosted tree based gene regulatory network inference algorithm using time-course measurement data. BMC Systems Biology. 12(S2). 20–20. 32 indexed citations
13.
Onizuka, Satoru, Takanori Iwata, Sung‐Joon Park, et al.. (2016). ZBTB16 as a Downstream Target Gene of Osterix Regulates Osteoblastogenesis of Human Multipotent Mesenchymal Stromal Cells. Journal of Cellular Biochemistry. 117(10). 2423–2434. 28 indexed citations
14.
Park, Sung‐Joon. (2015). Review: Hansjörg Dilger, Abdoulaye Kane, and Stacey A. Langwick (eds), Medicine, Mobility, and Power in Global Africa: Transnational Health and Healing (2012). SHILAP Revista de lepidopterología. 1 indexed citations
15.
Park, Sung‐Joon, et al.. (2015). OpenTein: a database of digital whole-slide images of stem cell-derived teratomas. Nucleic Acids Research. 44(D1). D1000–D1004. 3 indexed citations
16.
Park, Sung‐Joon, et al.. (2014). A Study in Improving the Qualification Policy for Sports Instructors. 12(1). 77–85. 2 indexed citations
17.
Park, Sung‐Joon, et al.. (2014). Computational Promoter Modeling Identifies the Modes of Transcriptional Regulation in Hematopoietic Stem Cells. PLoS ONE. 9(4). e93853–e93853. 6 indexed citations
18.
Park, Sung‐Joon & Masayuki Yamamura. (2002). FROG (Fitted Rotation and Orientation of protein structure by means of real-coded Genetic algorithm) : Asynchronous Parallelizing for Protein Structure-Based Comparison on the Basis of Geometrical Similarity. Proceedings Genome Informatics Workshop/Genome informatics. 13. 344–345. 4 indexed citations
19.
Park, Sung‐Joon, et al.. (2000). Studies on the active site of the Arabidopsis thaliana S-Adenosylmethionine Decarboxylase: $Lys^{81}$ residue involvement in catalytic activity. BMB Reports. 33(1). 69–74. 2 indexed citations
20.
Park, Sung‐Joon, et al.. (1995). Purification and Characterization of Soybean Cotyledonary Spermidine Dehydrogenase. BMB Reports. 28(5). 408–413. 1 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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