Dae-Sil Lee
Impact in
- Biotechnology top 5%
- Microbial Metabolism and Applications
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
-
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
- Enzyme Catalysis and Immobilization 1
- Surgery 4
- Pancreatic function and diabetes 4
- Co-authors
- Se Won Suh (4 shared papers)Thomas A. Steitz (1 shared paper)Jimin Wang (1 shared paper)Soo Hyun Eom (1 shared paper)Young Soo Kim (1 shared paper)Seung Wook Kim (1 shared paper)Jun‐Seok Kim (1 shared paper)Jungdon Bae (2 shared papers)
- Journals
- Applied Biochemistry and Biotechnology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Molecules and Cells (1 paper)Nature (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Dae-Sil Lee
14 papers receiving 566 citations
Peers
Comparison fields: 5 of 76
- Biotechnology 158
- Pharmacology 58
- Molecular Biology 384
- Pharmacology 66
- Applied Microbiology and Biotechnology 7
Countries citing papers authored by Dae-Sil Lee
This map shows the geographic impact of Dae-Sil 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 Dae-Sil Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae-Sil Lee more than expected).
Fields of papers citing papers by Dae-Sil Lee
This network shows the impact of papers produced by Dae-Sil 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 Dae-Sil Lee. The network helps show where Dae-Sil Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Dae-Sil Lee, 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 | 1995 | 312 | |
| 2 | 2006 | 124 | |
| 3 | 1999 | 48 | |
| 4 | 1988 | 23 | |
| 5 | 1993 | 19 | |
| 6 | 1997 | 19 | |
| 7 | 2008 | 14 | |
| 8 | 1996 | 10 | |
| 9 | 2005 | 9 | |
| 10 | 1997 | 8 | |
| 11 | 1994 | 4 | |
| 12 | 1999 | 3 | |
| 13 | 2010 | 1 | |
| 14 | 2007 | 1 |
About Dae-Sil Lee
Dae-Sil Lee is a scholar working on Molecular Biology, Surgery, Materials Chemistry, Endocrinology, Diabetes and Metabolism and Genetics, having authored 14 papers that have together received 595 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Enzyme Structure and Function (3 papers), Plant nutrient uptake and metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers), Diet, Metabolism, and Disease (2 papers), Bacterial Genetics and Biotechnology (2 papers), DNA Repair Mechanisms (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Biotechnology (158 citations), Pharmacology (58 citations), Molecular Biology (384 citations), Pharmacology (66 citations) and Applied Microbiology and Biotechnology (7 citations). Dae-Sil Lee has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Se Won Suh, Thomas A. Steitz, Jimin Wang, Soo Hyun Eom, Young Soo Kim, Seung Wook Kim, Jun‐Seok Kim, Jungdon Bae, Min-Jung Song and Suk-In Hong. Their work appears in journals such as Applied Biochemistry and Biotechnology, Biochemical and Biophysical Research Communications, Molecules and Cells, Nature and Nucleic Acids Research.
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.