Juw Won Park

7.4k total citations · 3 hit papers
52 papers, 3.7k citations indexed

About

Juw Won Park is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Juw Won Park has authored 52 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 14 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Juw Won Park's work include RNA Research and Splicing (28 papers), RNA modifications and cancer (20 papers) and Cancer-related molecular mechanisms research (11 papers). Juw Won Park is often cited by papers focused on RNA Research and Splicing (28 papers), RNA modifications and cancer (20 papers) and Cancer-related molecular mechanisms research (11 papers). Juw Won Park collaborates with scholars based in United States, China and South Korea. Juw Won Park's co-authors include Yi Xing, Shihao Shen, Zhixiang Lu, Qing Zhou, Lan Lin, Michael D. Henry, Ying Wu, Russ P. Carstens, Kimberly A. Dittmar and Thomas W. Bebee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Juw Won Park

48 papers receiving 3.7k citations

Hit Papers

rMATS: Robust and flexible detection of differential alte... 2014 2026 2018 2022 2014 2022 2025 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juw Won Park United States 25 3.1k 909 277 237 227 52 3.7k
Scott Kuersten United States 22 3.2k 1.0× 871 1.0× 251 0.9× 198 0.8× 363 1.6× 35 3.9k
Fatih Ozsolak United States 23 3.6k 1.2× 1.3k 1.4× 464 1.7× 271 1.1× 387 1.7× 32 4.5k
Sridhar Sivasubbu India 29 2.3k 0.8× 892 1.0× 211 0.8× 181 0.8× 567 2.5× 126 3.3k
G. Brett Robb United States 25 2.4k 0.8× 842 0.9× 183 0.7× 222 0.9× 227 1.0× 35 3.0k
Céline Keime France 28 2.1k 0.7× 424 0.5× 282 1.0× 356 1.5× 372 1.6× 71 3.1k
Debasish Raha United States 19 2.9k 0.9× 591 0.7× 524 1.9× 145 0.6× 422 1.9× 29 3.6k
Ligang Wu China 28 3.9k 1.3× 2.2k 2.4× 394 1.4× 321 1.4× 274 1.2× 75 4.7k
Xiaoxiao Zhang China 27 1.9k 0.6× 819 0.9× 721 2.6× 249 1.1× 231 1.0× 109 3.2k
Jaime A. Castro-Mondragón France 14 2.6k 0.8× 581 0.6× 528 1.9× 350 1.5× 470 2.1× 20 3.5k
Jianming Chen China 26 2.2k 0.7× 767 0.8× 176 0.6× 416 1.8× 207 0.9× 91 2.9k

Countries citing papers authored by Juw Won Park

Since Specialization
Citations

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

Fields of papers citing papers by Juw Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juw Won 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 Juw Won Park. The network helps show where Juw Won Park may publish in the future.

Co-authorship network of co-authors of Juw Won Park

This figure shows the co-authorship network connecting the top 25 collaborators of Juw Won Park. A scholar is included among the top collaborators of Juw Won 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 Juw Won Park. Juw Won 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.
Luo, Chao, Xiaolan Qiu, Jingyao Mu, et al.. (2025). Plant-nanoparticles enhance anti-PD-L1 efficacy by shaping human commensal microbiota metabolites. Nature Communications. 16(1). 1295–1295. 28 indexed citations breakdown →
3.
Sundaram, Kumaran, Yun Teng, Jingyao Mu, et al.. (2024). Outer Membrane Vesicles Released from Garlic Exosome‐like Nanoparticles (GaELNs) Train Gut Bacteria that Reverses Type 2 Diabetes via the Gut‐Brain Axis. Small. 20(20). e2308680–e2308680. 44 indexed citations
4.
Kim, Eun‐Jung, et al.. (2024). Genetic and phenotypic changes to Venezuelan equine encephalitis virus following treatment with β-D-N4-hydroxycytidine, an RNA mutagen. Scientific Reports. 14(1). 25265–25265. 1 indexed citations
5.
Sriwastva, Mukesh K., Yun Teng, Jingyao Mu, et al.. (2023). An extracellular vesicular mutant KRAS‐associated protein complex promotes lung inflammation and tumor growth. Journal of Extracellular Vesicles. 12(2). e12307–e12307. 5 indexed citations
6.
Stoilov, Peter, et al.. (2022). The global Protein-RNA interaction map of ESRP1 defines a post-transcriptional program that is essential for epithelial cell function. iScience. 25(10). 105205–105205. 9 indexed citations
7.
Sundaram, Kumaran, Jingyao Mu, Anil Kumar, et al.. (2022). Garlic exosome-like nanoparticles reverse high-fat diet induced obesity via the gut/brain axis. Theranostics. 12(3). 1220–1246. 120 indexed citations breakdown →
8.
Kumar, Anil, Kumaran Sundaram, Yun Teng, et al.. (2022). Ginger nanoparticles mediated induction of Foxa2 prevents high-fat diet-induced insulin resistance. Theranostics. 12(3). 1388–1403. 76 indexed citations
9.
Teng, Yun, Jingyao Mu, Fangyi Xu, et al.. (2022). Gut bacterial isoamylamine promotes age-related cognitive dysfunction by promoting microglial cell death. Cell Host & Microbe. 30(7). 944–960.e8. 89 indexed citations
10.
Chaabane, Mohamed, et al.. (2020). seekCRIT: Detecting and characterizing differentially expressed circular RNAs using high-throughput sequencing data. PLoS Computational Biology. 16(10). e1008338–e1008338. 18 indexed citations
11.
Edelmann, Mariola J., et al.. (2019). Proteomic and transcriptional profiling of rat amygdala following social play. Behavioural Brain Research. 376. 112210–112210. 12 indexed citations
12.
Edelmann, Mariola J., et al.. (2019). Adolescent rat social play: Amygdalar proteomic and transcriptomic data. SHILAP Revista de lepidopterología. 27. 104589–104589. 3 indexed citations
13.
Zhou, Rui, Juw Won Park, Rene F. Chun, et al.. (2016). Concerted effects of heterogeneous nuclear ribonucleoprotein C1/C2 to control vitamin D-directed gene transcription and RNA splicing in human bone cells. Nucleic Acids Research. 45(2). 606–618. 15 indexed citations
14.
Lin, Lan, Juw Won Park, Shyam Ramachandran, et al.. (2016). Transcriptome sequencing reveals aberrant alternative splicing in Huntington's disease. Human Molecular Genetics. 25(16). 3454–3466. 83 indexed citations
15.
Lin, Lan, Peng Jiang, Juw Won Park, et al.. (2016). The contribution of Alu exons to the human proteome. Genome biology. 17(1). 15–15. 36 indexed citations
16.
Park, Juw Won, et al.. (2016). rMAPS: RNA map analysis and plotting server for alternative exon regulation. Nucleic Acids Research. 44(W1). W333–W338. 47 indexed citations
17.
Shen, Shihao, Juw Won Park, Zhixiang Lu, et al.. (2014). rMATS: Robust and flexible detection of differential alternative splicing from replicate RNA-Seq data. Proceedings of the National Academy of Sciences. 111(51). E5593–601. 1635 indexed citations breakdown →
18.
Lu, Zhixiang, Qin Huang, Juw Won Park, et al.. (2014). Transcriptome-wide Landscape of Pre-mRNA Alternative Splicing Associated with Metastatic Colonization. Molecular Cancer Research. 13(2). 305–318. 55 indexed citations
19.
Park, Juw Won, Collin Tokheim, Shihao Shen, & Yi Xing. (2013). Identifying Differential Alternative Splicing Events from RNA Sequencing Data Using RNASeq-MATS. Methods in molecular biology. 1038. 171–179. 53 indexed citations
20.
Shen, Shihao, Juw Won Park, Jian Huang, et al.. (2012). MATS: a Bayesian framework for flexible detection of differential alternative splicing from RNA-Seq data. Nucleic Acids Research. 40(8). e61–e61. 269 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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