Da Eun Lee
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Food Science top 5%
- Fermentation and Sensory Analysis
- Food Quality and Safety Studies
Papers in
-
- Food Quality and Safety Studies 5
- Co-authors
- Sunmin Lee (4 shared papers)Hye Won Shin (3 shared papers)Byoung Seok Moon (3 shared papers)Ho Won Jang (5 shared papers)In Hyuk Im (5 shared papers)Seung Ju Kim (5 shared papers)Soo Young Kim (4 shared papers)Choong Hwan Lee (4 shared papers)
- Journals
- Plants (3 papers)Food Chemistry (3 papers)Molecules (2 papers)Infection Genetics and Evolution (2 papers)Food Research International (2 papers)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Da Eun Lee
44 papers receiving 900 citations
Da Eun Lee's Hit Papers
Peers
Comparison fields: 5 of 101
- Biochemistry 65
- Food Science 183
- Polymers and Plastics 139
- Molecular Medicine 38
- Pharmacology 90
Countries citing papers authored by Da Eun Lee
This map shows the geographic impact of Da Eun 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 Da Eun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Eun Lee more than expected).
Fields of papers citing papers by Da Eun Lee
This network shows the impact of papers produced by Da Eun 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 Da Eun Lee. The network helps show where Da Eun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Eun 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
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 93 | |
| 2 | Linearly programmable two-dimensional halide perovskite memristor arrays for neuromorphic computing Hit paper breakdown → | 2024 | 93 |
| 3 | 2021 | 86 | |
| 4 | 2020 | 57 | |
| 5 | 2016 | 49 | |
| 6 | 2022 | 45 | |
| 7 | 2019 | 42 | |
| 8 | 2021 | 35 | |
| 9 | 2011 | 35 | |
| 10 | 2017 | 31 | |
| 11 | 2019 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2017 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2006 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2023 | 14 |
About Da Eun Lee
Da Eun Lee is a scholar working on Molecular Biology, Food Science, Electrical and Electronic Engineering, Plant Science and Pharmacology, having authored 46 papers that have together received 915 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Food Quality and Safety Studies (5 papers), Phytochemicals and Antioxidant Activities (5 papers), Perovskite Materials and Applications (5 papers), GABA and Rice Research (4 papers), Advanced Memory and Neural Computing (4 papers), Fungal Biology and Applications (4 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Biochemistry (65 citations), Food Science (183 citations), Polymers and Plastics (139 citations), Molecular Medicine (38 citations) and Pharmacology (90 citations). Da Eun Lee has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Sunmin Lee, Hye Won Shin, Byoung Seok Moon, Ho Won Jang, In Hyuk Im, Seung Ju Kim, Soo Young Kim, Choong Hwan Lee, Jae Young Kim and Choong H. Lee. Their work appears in journals such as Plants, Food Chemistry, Molecules, Infection Genetics and Evolution and Food Research International.
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.