Dongchan Yang
Impact in
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- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
Papers in
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- Genomics and Chromatin Dynamics 5
- Single-cell and spatial transcriptomics 2
- Genomics and Phylogenetic Studies 1
- Epigenetics and DNA Methylation 1
- RNA Research and Splicing 1
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- Immunotherapy and Immune Responses 1
- T-cell and B-cell Immunology 1
- Co-authors
- Dongsup Kim (5 shared papers)Inkyung Jung (4 shared papers)Andrew Lee (4 shared papers)Junghyun Eom (3 shared papers)Suk‐Jo Kang (3 shared papers)Mirang Kim (2 shared papers)Eliezer Masliah (2 shared papers)Changyoun Kim (2 shared papers)
- Journals
- Bioinformatics (1 paper)Experimental & Molecular Medicine (1 paper)Nucleic Acids Research (1 paper)Nature Biotechnology (1 paper)Journal of Allergy and Clinical Immunology (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Dongchan Yang
8 papers receiving 465 citations
Peers
Comparison fields: 5 of 69
- Immunology 90
- Molecular Biology 280
- Genetics 96
- Cancer Research 40
- Neurology 16
Countries citing papers authored by Dongchan Yang
This map shows the geographic impact of Dongchan Yang'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 Dongchan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongchan Yang more than expected).
Fields of papers citing papers by Dongchan Yang
This network shows the impact of papers produced by Dongchan Yang. 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 Dongchan Yang. The network helps show where Dongchan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongchan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 211 | |
| 2 | 2017 | 75 | |
| 3 | 2017 | 56 | |
| 4 | 2018 | 50 | |
| 5 | 2023 | 38 | |
| 6 | 2019 | 21 | |
| 7 | 2022 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2026 | 0 |
About Dongchan Yang
Dongchan Yang is a scholar working on Molecular Biology, Immunology, Neurology, Genetics and Plant Science, having authored 9 papers that have together received 466 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Phylogenetic Studies (1 paper), Epigenetics and DNA Methylation (1 paper), RNA Research and Splicing (1 paper), Chromosomal and Genetic Variations (1 paper), Immunotherapy and Immune Responses (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (90 citations), Molecular Biology (280 citations), Genetics (96 citations), Cancer Research (40 citations) and Neurology (16 citations). Dongchan Yang has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Dongsup Kim, Inkyung Jung, Andrew Lee, Junghyun Eom, Suk‐Jo Kang, Mirang Kim, Eliezer Masliah, Changyoun Kim, Yarui Diao and Cathy L. Barr. Their work appears in journals such as Bioinformatics, Experimental & Molecular Medicine, Nucleic Acids Research, Nature Biotechnology and Journal of Allergy and Clinical Immunology.
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.