Woo Dae Jang
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Biomaterials top 10%
- Biotechnology top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Sang Yup LeeJae Sung ChoDongsoo YangHyun Uk KimKyeong Rok ChoiTong Un ChaeDong In KimJae Ho Shin
- Topics
- Microbial Metabolic Engineering and Bioproduction (10 papers)Computational Drug Discovery Methods (7 papers)Enzyme Catalysis and Immobilization (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNature Communications
- Partner nations
- South KoreaDenmarkCanada
In The Last Decade
Woo Dae Jang
22 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 922
- Biomedical Engineering 484
- Biomaterials 174
- Biotechnology 137
- Computational Theory and Mathematics 132
Countries citing papers authored by Woo Dae Jang
This map shows the geographic impact of Woo Dae Jang'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 Woo Dae Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woo Dae Jang more than expected).
Fields of papers citing papers by Woo Dae Jang
This network shows the impact of papers produced by Woo Dae Jang. 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 Woo Dae Jang. The network helps show where Woo Dae Jang may publish in the future.
Co-authorship network of co-authors of Woo Dae Jang
This figure shows the co-authorship network connecting the top 25 collaborators of Woo Dae Jang. A scholar is included among the top collaborators of Woo Dae Jang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Woo Dae Jang. Woo Dae Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 22 | |
| 9 | 20 | |
| 10 | 30 | |
| 11 | 50 | |
| 12 | 89 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | 65 | |
| 16 | A comprehensive metabolic map for production of bio-based chemicalsbreakdown → | 454 |
| 17 | Systems Metabolic Engineering Strategies: Integrating Systems and Synthetic Biology with Metabolic Engineeringbreakdown → | 396 |
| 18 | 53 | |
| 19 | 11 | |
| 20 | 12 |
About Woo Dae Jang
Woo Dae Jang is a scholar working on Computational Theory and Mathematics, Biomaterials and Molecular Biology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (10 papers), Computational Drug Discovery Methods (7 papers) and Enzyme Catalysis and Immobilization (5 papers). The work is most often cited by research in Biotechnology (137 citations), Molecular Biology (922 citations) and Biomaterials (174 citations). Woo Dae Jang has collaborated with scholars based in South Korea, Denmark and Canada. Frequent co-authors include Sang Yup Lee, Jae Sung Cho, Dongsoo Yang, Hyun Uk Kim, Kyeong Rok Choi, Tong Un Chae, Dong In Kim, Jae Ho Shin, Yu‐Sin Jang and Je Woong Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.