Taek Soon Lee
- Molecular Biology top 1%
- Biomedical Engineering top 1%
- Pharmacology top 0.5%
- Biotechnology top 0.5%
- Genetics top 5%
- Co-authors
- Jay D. KeaslingAindrila MukhopadhyayPaul D. AdamsChristopher J. PetzoldJorge Alonso-GutiérrezRossana ChanTanveer S. BatthEdward E. K. Baidoo
- Topics
- Microbial Metabolic Engineering and Bioproduction (69 papers)Plant biochemistry and biosynthesis (34 papers)Biofuel production and bioconversion (34 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAngewandte Chemie International Edition
- Partner nations
- United StatesDenmarkChina
In The Last Decade
Taek Soon Lee
91 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 5.2k
- Biomedical Engineering 2.1k
- Pharmacology 1.0k
- Biotechnology 566
- Genetics 480
Countries citing papers authored by Taek Soon Lee
This map shows the geographic impact of Taek Soon Lee'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 Taek Soon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taek Soon Lee more than expected).
Fields of papers citing papers by Taek Soon Lee
This network shows the impact of papers produced by Taek Soon Lee. 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 Taek Soon Lee. The network helps show where Taek Soon Lee may publish in the future.
Co-authorship network of co-authors of Taek Soon Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Taek Soon Lee. A scholar is included among the top collaborators of Taek Soon Lee 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 Taek Soon Lee. Taek Soon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 34 | |
| 6 | 10 | |
| 7 | 179 | |
| 8 | 108 | |
| 9 | 20 | |
| 10 | 46 | |
| 11 | 34 | |
| 12 | 86 | |
| 13 | 115 | |
| 14 | 59 | |
| 15 | 320 | |
| 16 | 74 | |
| 17 | 149 | |
| 18 | 128 | |
| 19 | 460 | |
| 20 | 16 |
About Taek Soon Lee
Taek Soon Lee is a scholar working on Pharmacology, Molecular Biology and Biomedical Engineering, having authored 95 papers that have together received 6.6k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (69 papers), Plant biochemistry and biosynthesis (34 papers) and Biofuel production and bioconversion (34 papers). The work is most often cited by research in Molecular Biology (5.2k citations), Biotechnology (566 citations) and Pharmacology (1.0k citations). Taek Soon Lee has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Jay D. Keasling, Aindrila Mukhopadhyay, Paul D. Adams, Christopher J. Petzold, Jorge Alonso-Gutiérrez, Rossana Chan, Tanveer S. Batth, Edward E. K. Baidoo, Kevin W. George and Pamela Peralta‐Yahya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.