Youngjun Park

423 total citations
14 papers, 265 citations indexed

About

Youngjun Park is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Youngjun Park has authored 14 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Youngjun Park's work include Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (5 papers) and Gene expression and cancer classification (5 papers). Youngjun Park is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (5 papers) and Gene expression and cancer classification (5 papers). Youngjun Park collaborates with scholars based in South Korea, Germany and Ethiopia. Youngjun Park's co-authors include Sun Kim, Seokjun Seo, Minsik Oh, Anne-Christin Hauschild, Sangsoo Lim, Dominik Heider, Jin‐Wu Nam, Y. Y. Koh, Sangseon Lee and Benjamin Hur and has published in prestigious journals such as Bioinformatics, Scientific Reports and European Respiratory Journal.

In The Last Decade

Youngjun Park

12 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngjun Park South Korea 8 171 61 60 38 34 14 265
Ksenia Lezhnina United States 7 213 1.2× 53 0.9× 36 0.6× 14 0.4× 108 3.2× 8 359
Santhilata Kuppili Venkata United Kingdom 2 304 1.8× 103 1.7× 39 0.7× 10 0.3× 22 0.6× 5 407
Joel Nulsen United Kingdom 3 362 2.1× 135 2.2× 51 0.8× 12 0.3× 28 0.8× 5 468
Tommaso Palmieri United Kingdom 2 306 1.8× 103 1.7× 40 0.7× 16 0.4× 22 0.6× 2 444
Xi Long China 11 252 1.5× 105 1.7× 18 0.3× 19 0.5× 54 1.6× 31 445
Aikaterini Tourna United Kingdom 4 323 1.9× 117 1.9× 41 0.7× 13 0.3× 22 0.6× 5 427
Zhaoxiang Cai Australia 6 191 1.1× 55 0.9× 22 0.4× 7 0.2× 13 0.4× 9 310
Lisa Dreßler United Kingdom 4 373 2.2× 144 2.4× 51 0.8× 14 0.4× 27 0.8× 5 488
Mamoon Rashid Saudi Arabia 8 88 0.5× 28 0.5× 19 0.3× 16 0.4× 8 0.2× 18 225
Lu Meng China 9 299 1.7× 54 0.9× 23 0.4× 10 0.3× 49 1.4× 12 395

Countries citing papers authored by Youngjun Park

Since Specialization
Citations

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

Fields of papers citing papers by Youngjun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngjun Park

This figure shows the co-authorship network connecting the top 25 collaborators of Youngjun Park. A scholar is included among the top collaborators of Youngjun 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 Youngjun Park. Youngjun Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Jang, H. J., et al.. (2025). ExPDrug: Integration of an interpretable neural network and knowledge graph for pathway-based drug repurposing. Computers in Biology and Medicine. 187. 109729–109729.
2.
Park, Youngjun, et al.. (2024). Species-agnostic transfer learning for cross-species transcriptomics data integration without gene orthology. Briefings in Bioinformatics. 25(2). 5 indexed citations
3.
Kim, Ye Eun, Youngjun Park, Seung Hoon Kim, et al.. (2024). P1137 Long-term trend of cumulative incidence of venous thromboembolism in Korean patients with inflammatory bowel disease: A nationwide population-based cohort study. Journal of Crohn s and Colitis. 18(Supplement_1). i2022–i2023.
4.
Park, Youngjun & Anne-Christin Hauschild. (2024). The effect of data transformation on low-dimensional integration of single-cell RNA-seq. BMC Bioinformatics. 25(1). 171–171. 2 indexed citations
5.
Park, Youngjun, Anne-Christin Hauschild, & Dominik Heider. (2021). Transfer learning compensates limited data, batch effects and technological heterogeneity in single-cell sequencing. NAR Genomics and Bioinformatics. 3(4). lqab104–lqab104. 10 indexed citations
6.
Park, Youngjun, Dominik Heider, & Anne-Christin Hauschild. (2021). Integrative Analysis of Next-Generation Sequencing for Next-Generation Cancer Research toward Artificial Intelligence. Cancers. 13(13). 3148–3148. 22 indexed citations
7.
Kim, S, Youngjun Park, Seak Hee Oh, et al.. (2020). P804 Temporal trends and the influence of regional and socioeconomic status on the incidence of inflammatory bowel disease: Using National Health Insurance Service Database in Korea, 2005–2017. Journal of Crohn s and Colitis. 14(Supplement_1). S629–S630. 1 indexed citations
8.
Park, Youngjun, et al.. (2020). Towards multi-omics characterization of tumor heterogeneity: a comprehensive review of statistical and machine learning approaches. Briefings in Bioinformatics. 22(3). 27 indexed citations
9.
Seo, Seokjun, Minsik Oh, Youngjun Park, & Sun Kim. (2018). DeepFam: deep learning based alignment-free method for protein family modeling and prediction. Bioinformatics. 34(13). i254–i262. 91 indexed citations
10.
Lee, Sangseon, et al.. (2017). Flow maximization analysis of cell cycle pathway activation status in breast cancer subtypes. 10. 91–95. 1 indexed citations
11.
Lee, Sangseon, Youngjun Park, & Sun Kim. (2017). MIDAS: Mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq data. Methods. 124. 13–24. 13 indexed citations
12.
13.
Park, Youngjun, Sangsoo Lim, Jin‐Wu Nam, & Sun Kim. (2016). Measuring intratumor heterogeneity by network entropy using RNA-seq data. Scientific Reports. 6(1). 37767–37767. 39 indexed citations
14.
Koh, Y. Y., et al.. (1999). Development of wheezing in patients with cough variant asthma during an increase in airway responsiveness. European Respiratory Journal. 14(2). 302–308. 37 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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