Chan Woo Song
- Biomedical Engineering top 5%
- Biofuel production and bioconversion 13
- Biochemistry top 5%
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction 18
- Enzyme Catalysis and Immobilization 11
- CRISPR and Genetic Engineering 2
- Process Chemistry and Technology top 10%
- Behavioral Neuroscience top 10%
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- Bacterial Genetics and Biotechnology 4
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- Pain Mechanisms and Treatments 1
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- Legume Nitrogen Fixing Symbiosis 1
- Plant Stress Responses and Tolerance 1
- Co-authors
- Sang Yup LeeSol ChoiJae Ho ShinC. Richard ChapmanRobert P. TuckettJoungmin LeeHyohak SongJong Myoung Park
- Journals
- Applied Microbiology and Biotechnology (1 paper)Frontiers in Microbiology (1 paper)Biotechnology and Bioengineering (2 papers)
- Partner nations
- South KoreaDenmarkEgypt
In The Last Decade
Chan Woo Song
22 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Biomedical Engineering 781
- Biochemistry 115
- Molecular Biology 1.0k
- Process Chemistry and Technology 42
- Behavioral Neuroscience 43
Countries citing papers authored by Chan Woo Song
This map shows the geographic impact of Chan Woo Song'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 Chan Woo Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Woo Song more than expected).
Fields of papers citing papers by Chan Woo Song
This network shows the impact of papers produced by Chan Woo Song. 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 Chan Woo Song. The network helps show where Chan Woo Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chan Woo Song, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 31 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 13 | |
| 10 | 2018 | 28 | |
| 11 | 2016 | 96 | |
| 12 | 2015 | 105 | |
| 13 | Biorefineries for the production of top building block chemicals and their derivativesbreakdown → | 2015 | 389 |
| 14 | 2015 | 28 | |
| 15 | Metabolic engineering of Escherichia coli for the production of 3-aminopropionic acid | 2015 | 2 |
| 16 | 2014 | 54 | |
| 17 | 2013 | 110 | |
| 18 | 2013 | 48 | |
| 19 | 2012 | 301 | |
| 20 | 2007 | 379 |
About Chan Woo Song
Chan Woo Song is a scholar working on Biomedical Engineering, Molecular Biology and Genetics, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (18 papers), Biofuel production and bioconversion (13 papers), Enzyme Catalysis and Immobilization (11 papers), Bacterial Genetics and Biotechnology (4 papers), CRISPR and Genetic Engineering (2 papers), Pain Mechanisms and Treatments (1 paper), Legume Nitrogen Fixing Symbiosis (1 paper) and Plant Stress Responses and Tolerance (1 paper). The work is most often cited by research in Biomedical Engineering (781 citations), Biochemistry (115 citations) and Molecular Biology (1.0k citations). Chan Woo Song has collaborated with scholars based in South Korea, Denmark and Egypt. Frequent co-authors include Sang Yup Lee, Sol Choi, Jae Ho Shin, C. Richard Chapman, Robert P. Tuckett, Joungmin Lee, Hyohak Song, Jong Myoung Park, Yu‐Sin Jang and Yong Jun Choi. Their work appears in journals such as Applied Microbiology and Biotechnology, Frontiers in Microbiology and Biotechnology and Bioengineering.
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.