Dongjun Chung

6.3k total citations
85 papers, 1.5k citations indexed

About

Dongjun Chung is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Dongjun Chung has authored 85 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 14 papers in Genetics and 13 papers in Immunology. Recurrent topics in Dongjun Chung's work include Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (13 papers) and Genetic Associations and Epidemiology (9 papers). Dongjun Chung is often cited by papers focused on Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (13 papers) and Genetic Associations and Epidemiology (9 papers). Dongjun Chung collaborates with scholars based in United States, South Korea and United Kingdom. Dongjun Chung's co-authors include Sündüz Keleş, Hongyu Zhao, Cong Li, Can Yang, Joel Gelernter, Patricia J. Kiley, Kevin S. Myers, Pei Fen Kuan, Gary Hardiman and Bethany J. Wolf and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

In The Last Decade

Dongjun Chung

83 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongjun Chung United States 20 764 359 116 114 111 85 1.5k
Emile R. Chimusa South Africa 22 615 0.8× 339 0.9× 192 1.7× 76 0.7× 123 1.1× 77 1.5k
Rong Chen United States 21 840 1.1× 510 1.4× 110 0.9× 257 2.3× 58 0.5× 57 1.8k
Guðmundur Á. Þórisson United Kingdom 13 951 1.2× 542 1.5× 67 0.6× 129 1.1× 82 0.7× 22 1.6k
Michelle Turcotte Canada 11 637 0.8× 624 1.7× 143 1.2× 127 1.1× 85 0.8× 17 1.8k
Simone Marini United States 19 596 0.8× 244 0.7× 116 1.0× 58 0.5× 97 0.9× 69 1.5k
Tim Hulsen Netherlands 12 954 1.2× 146 0.4× 110 0.9× 140 1.2× 153 1.4× 28 1.9k
Debasis Dash India 26 1.2k 1.6× 291 0.8× 122 1.1× 72 0.6× 73 0.7× 114 2.1k
Hanwen Huang United States 21 459 0.6× 214 0.6× 61 0.5× 134 1.2× 95 0.9× 82 1.1k
Sihua Peng China 20 596 0.8× 252 0.7× 63 0.5× 242 2.1× 62 0.6× 54 1.3k

Countries citing papers authored by Dongjun Chung

Since Specialization
Citations

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

Fields of papers citing papers by Dongjun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongjun Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Dongjun Chung. A scholar is included among the top collaborators of Dongjun Chung 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 Dongjun Chung. Dongjun Chung 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.
Wu, Bill X., Hakan Çam, Chelsea Bolyard, et al.. (2025). Targeting TGFβ docking receptor glycoprotein A repetitions predominant (GARP) via novel chimeric antigen receptor (CAR)-T cell platform to treat glioblastoma. Neuro-Oncology. 27(12). 3087–3103. 1 indexed citations
2.
Kuhn, Brittany N., Nazzareno Cannella, Carter Allen, et al.. (2025). Distinct Behavioral Profiles and Neuronal Correlates of Heroin Vulnerability Versus Resiliency in a Multi-Symptomatic Model of Heroin Use Disorder in Rats. American Journal of Psychiatry. 182(2). 198–208. 1 indexed citations
3.
Kim, Doyeon, et al.. (2025). A novel TLR4 accessory molecule drives hepatic oncogenesis through tumor-associated macrophages. Cancer Letters. 614. 217543–217543. 2 indexed citations
4.
Cannella, Nazzareno, Stefano Tambalo, Giulia Scuppa, et al.. (2024). Long-access heroin self-administration induces region specific reduction of grey matter volume and microglia reactivity in the rat. Brain Behavior and Immunity. 118. 210–220. 4 indexed citations
5.
Song, No‐Joon, Chelsea Bolyard, Kevin P. Weller, et al.. (2024). mRNA vaccines against SARS-CoV-2 induce divergent antigen-specific T-cell responses in patients with lung cancer. Journal for ImmunoTherapy of Cancer. 12(1). e007922–e007922. 5 indexed citations
7.
Liu, Zhaoqian, Qi Wang, Anjun Ma, et al.. (2023). Inference of disease-associated microbial gene modules based on metagenomic and metatranscriptomic data. Computers in Biology and Medicine. 165. 107458–107458. 2 indexed citations
8.
Yilmaz, Ayse Selen, et al.. (2023). multi-GPA-Tree: Statistical approach for pleiotropy informed and functional annotation tree guided prioritization of GWAS results. PLoS Computational Biology. 19(12). e1011686–e1011686. 1 indexed citations
9.
Allen, Carter, Dionisia Quiroga, Emily Schwarz, et al.. (2023). Single-Cell RNA-Seq Analysis of Patient Myeloid-Derived Suppressor Cells and the Response to Inhibition of Bruton's Tyrosine Kinase. Molecular Cancer Research. 22(3). 308–321. 4 indexed citations
10.
Chung, Dongjun, Brian Neelon, Stephen P. Ethier, et al.. (2023). A Bayesian framework for pathway‐guided identification of cancer subgroups by integrating multiple types of genomic data. Statistics in Medicine. 42(28). 5266–5284. 1 indexed citations
11.
Schafer, Johanna M., Tong Xiao, Hyunwoo Kwon, et al.. (2022). Sex-biased adaptive immune regulation in cancer development and therapy. iScience. 25(8). 104717–104717. 20 indexed citations
12.
Chung, Dongjun, et al.. (2022). Association of Referral Source and Substance Use with Hepatitis C Virus Outcomes at a Southern Academic Medical Center. Southern Medical Journal. 115(6). 352–357. 1 indexed citations
13.
Chang, Yuzhou, Carter Allen, Changlin Wan, et al.. (2021). IRIS-FGM: an integrative single-cell RNA-Seq interpretation system for functional gene module analysis. Bioinformatics. 37(18). 3045–3047. 5 indexed citations
14.
Ball, Lauren E., et al.. (2020). Remodeling Translation Primes CD8+ T-cell Antitumor Immunity. Cancer Immunology Research. 8(5). 587–595. 11 indexed citations
15.
Ansa-Addo, Ephraim, Brian Riesenberg, Supinya Iamsawat, et al.. (2020). RNA binding protein PCBP1 is an intracellular immune checkpoint for shaping T cell responses in cancer immunity. Science Advances. 6(22). eaaz3865–eaaz3865. 35 indexed citations
16.
Zhang, Bichen, Min‐Dian Li, Yuyang Liu, et al.. (2019). O-GlcNAc transferase suppresses necroptosis and liver fibrosis. JCI Insight. 4(21). 64 indexed citations
17.
Speiser, Jaime L., Bethany J. Wolf, Dongjun Chung, et al.. (2019). BiMM forest: A random forest method for modeling clustered and longitudinal binary outcomes. Chemometrics and Intelligent Laboratory Systems. 185. 122–134. 39 indexed citations
18.
Ramos, Paula S., et al.. (2018). ShinyGPA: An interactive visualization toolkit for investigating pleiotropic architecture using GWAS datasets. PLoS ONE. 13(1). e0190949–e0190949. 7 indexed citations
19.
Chung, Dongjun & Sündüz Keleş. (2010). Sparse Partial Least Squares Classification for High Dimensional Data. Statistical Applications in Genetics and Molecular Biology. 9(1). Article17–Article17. 151 indexed citations
20.
Chung, Dongjun, et al.. (2008). Measurement Consistency from Magnetic Resonance Images. Academic Radiology. 15(10). 1322–1330. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026