Dongjun Chung
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Bacterial Genetics and Biotechnology
- Molecular Biology top 10%
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
Papers in
-
- Gene expression and cancer classification 21
- Bioinformatics and Genomic Networks 11
- Genomics and Phylogenetic Studies 9
- Single-cell and spatial transcriptomics 8
- Genomics and Chromatin Dynamics 6
- Genetics 16
- Genetic Associations and Epidemiology 10
- Co-authors
- Sündüz Keleş (10 shared papers)Hongyu Zhao (5 shared papers)Cong Li (2 shared papers)Can Yang (2 shared papers)Joel Gelernter (1 shared paper)Kevin S. Myers (3 shared papers)Patricia J. Kiley (3 shared papers)Pei Fen Kuan (2 shared papers)
- Journals
- PLoS Computational Biology (5 papers)PLoS ONE (3 papers)Statistics in Medicine (3 papers)Chemometrics and Intelligent Laboratory Systems (3 papers)Frontiers in Psychiatry (2 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Dongjun Chung
88 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 167
- Genetics 369
- Molecular Biology 749
- Cancer Research 112
- Immunology 154
- Molecular Medicine 34
Countries citing papers authored by Dongjun Chung
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
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-authors
The 25 scholars most cited alongside Dongjun Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 165 | |
| 2 | 2014 | 158 | |
| 3 | 2013 | 154 | |
| 4 | 2022 | 138 | |
| 5 | 2011 | 80 | |
| 6 | 2011 | 71 | |
| 7 | 2019 | 65 | |
| 8 | 2017 | 57 | |
| 9 | 2015 | 54 | |
| 10 | 2019 | 42 | |
| 11 | 2015 | 41 | |
| 12 | 2019 | 40 | |
| 13 | 2022 | 37 | |
| 14 | 2020 | 35 | |
| 15 | 2003 | 35 | |
| 16 | 2022 | 34 | |
| 17 | 2017 | 30 | |
| 18 | 2019 | 23 | |
| 19 | 2018 | 22 | |
| 20 | 2009 | 22 |
About Dongjun Chung
Dongjun Chung is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Artificial Intelligence, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (11 papers), Genetic Associations and Epidemiology (10 papers), Genomics and Phylogenetic Studies (9 papers), Single-cell and spatial transcriptomics (8 papers), Immune Cell Function and Interaction (6 papers), Genomics and Chromatin Dynamics (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Genetics (369 citations), Molecular Biology (749 citations), Cancer Research (112 citations), Immunology (154 citations) and Molecular Medicine (34 citations). Dongjun Chung has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Sündüz Keleş, Hongyu Zhao, Cong Li, Can Yang, Joel Gelernter, Kevin S. Myers, Patricia J. Kiley, Pei Fen Kuan, Gary Hardiman and Bethany J. Wolf. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Statistics in Medicine, Chemometrics and Intelligent Laboratory Systems and Frontiers in Psychiatry.
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.