Chao-Kung Chen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Developmental Biology and Gene Regulation
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
Papers in
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- Developmental Biology and Gene Regulation 3
- Wnt/β-catenin signaling in development and cancer 2
- Ubiquitin and proteasome pathways 1
- RNA Research and Splicing 1
- Bioinformatics and Genomic Networks 1
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- Plant Molecular Biology Research 2
- Co-authors
- Roderic Guigó (1 shared paper)Stylianos E. Antonarakis (1 shared paper)Tim Hubbard (1 shared paper)David Swarbreck (1 shared paper)Colette Rossier (1 shared paper)Jennifer Harrow (1 shared paper)Adam Frankish (1 shared paper)Roy Storey (1 shared paper)
- Journals
- Development (2 papers)Genome biology (1 paper)Human Mutation (1 paper)BMC Genomics (1 paper)Developmental Biology (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Chao-Kung Chen
6 papers receiving 713 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 162
- Molecular Biology 618
- Genetics 112
- Cellular and Molecular Neuroscience 67
- Immunology 75
Countries citing papers authored by Chao-Kung Chen
This map shows the geographic impact of Chao-Kung Chen'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 Chao-Kung Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Kung Chen more than expected).
Fields of papers citing papers by Chao-Kung Chen
This network shows the impact of papers produced by Chao-Kung Chen. 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 Chao-Kung Chen. The network helps show where Chao-Kung Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao-Kung Chen, 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 | 2006 | 456 | |
| 2 | 1998 | 100 | |
| 3 | 1997 | 89 | |
| 4 | 2012 | 38 | |
| 5 | 1997 | 21 | |
| 6 | 2013 | 13 |
About Chao-Kung Chen
Chao-Kung Chen is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Artificial Intelligence and Genetics, having authored 6 papers that have together received 717 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (3 papers), Plant Molecular Biology Research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Ubiquitin and proteasome pathways (1 paper), Natural Language Processing Techniques (1 paper), RNA Research and Splicing (1 paper), Bioinformatics and Genomic Networks (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Cancer Research (162 citations), Molecular Biology (618 citations), Genetics (112 citations), Cellular and Molecular Neuroscience (67 citations) and Immunology (75 citations). Chao-Kung Chen has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Roderic Guigó, Stylianos E. Antonarakis, Tim Hubbard, David Swarbreck, Colette Rossier, Jennifer Harrow, Adam Frankish, Roy Storey, Alexandre Reymond and Julien Lagarde. Their work appears in journals such as Development, Genome biology, Human Mutation, BMC Genomics and Developmental Biology.
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.