Jae Sung Cho
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction 14
- Enzyme Catalysis and Immobilization 5
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- Biotechnology top 5%
- Microbial Metabolism and Applications 1
- Biomedical Engineering top 5%
- Biofuel production and bioconversion 7
- Biochemistry top 10%
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- Genetic Syndromes and Imprinting 1
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- Bioeconomy and Sustainability Development 1
Jae Sung Cho
18 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.3k
- Biotechnology 152
- Biomedical Engineering 560
- Biochemistry 81
- Process Chemistry and Technology 24
Countries citing papers authored by Jae Sung Cho
This map shows the geographic impact of Jae Sung Cho'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 Jae Sung Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Sung Cho more than expected).
Fields of papers citing papers by Jae Sung Cho
This network shows the impact of papers produced by Jae Sung Cho. 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 Jae Sung Cho. The network helps show where Jae Sung Cho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae Sung Cho, 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 | 5 | |
| 2 | 2023 | 36 | |
| 3 | 2022 | 125 | |
| 4 | 2022 | 33 | |
| 5 | 2020 | 6 | |
| 6 | 2019 | 18 | |
| 7 | A comprehensive metabolic map for production of bio-based chemicalsbreakdown → | 2019 | 454 |
| 8 | Systems Metabolic Engineering Strategies: Integrating Systems and Synthetic Biology with Metabolic Engineeringbreakdown → | 2019 | 396 |
| 9 | 2019 | 42 | |
| 10 | 2019 | 85 | |
| 11 | 2018 | 50 | |
| 12 | 2017 | 170 | |
| 13 | 2017 | 23 | |
| 14 | 2016 | 94 | |
| 15 | 2016 | 45 | |
| 16 | 2015 | 1 | |
| 17 | Volatile organic compounds emissions from radiata pine MDF as a function of pressing variables | 2006 | 2 |
| 18 | Clinical Usefulness of Fluorescence in Situ Hybridization (FISH) in the Diagnosis of Genetic disease | 2002 | 1 |
About Jae Sung Cho
Jae Sung Cho is a scholar working on Biotechnology, Molecular Biology and Biomedical Engineering, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (14 papers), Biofuel production and bioconversion (7 papers), Enzyme Catalysis and Immobilization (5 papers), CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (2 papers), Genetic Syndromes and Imprinting (1 paper), Bioeconomy and Sustainability Development (1 paper) and Microbial Metabolism and Applications (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Biotechnology (152 citations) and Biomedical Engineering (560 citations). Jae Sung Cho has collaborated with scholars based in South Korea, Denmark and Japan. Frequent co-authors include Sang Yup Lee, Kyeong Rok Choi, Woo Dae Jang, Dongsoo Yang, Jae Ho Shin, Hyun Uk Kim, Tong Un Chae, Dong In Kim, Yu‐Sin Jang and Je Woong Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Trends in biotechnology.
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.