Lee Chae
Impact in
- Plant Science top 5%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
- Chromosomal and Genetic Variations
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- Plant biochemistry and biosynthesis
- Bioinformatics and Genomic Networks
- Plant Gene Expression Analysis
Papers in
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- Plant Molecular Biology Research 3
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- Bioinformatics and Genomic Networks 2
- Plant biochemistry and biosynthesis 2
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Seung Y. Rhee (3 shared papers)Ricardo Nilo‐Poyanco (2 shared papers)Daniel Kahn (1 shared paper)Thomas Bernard (1 shared paper)Peifen Zhang (1 shared paper)Pascal Schläpfer (1 shared paper)Zheng‐Hui He (1 shared paper)Arvind K. Chavali (1 shared paper)
- Journals
- PLANT PHYSIOLOGY (2 papers)Molecular Plant (1 paper)Advances in Nutrition (1 paper)Human & Experimental Toxicology (1 paper)Science (1 paper)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Lee Chae
11 papers receiving 917 citations
Peers
Comparison fields: 5 of 71
- Plant Science 425
- Molecular Biology 427
- Genetics 115
- Health Informatics 5
- Pharmacology 29
Countries citing papers authored by Lee Chae
This map shows the geographic impact of Lee Chae'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 Lee Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Chae more than expected).
Fields of papers citing papers by Lee Chae
This network shows the impact of papers produced by Lee Chae. 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 Lee Chae. The network helps show where Lee Chae may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Chae, 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 | 2017 | 286 | |
| 2 | 2014 | 239 | |
| 3 | 2019 | 128 | |
| 4 | 2003 | 119 | |
| 5 | 2009 | 84 | |
| 6 | 2012 | 50 | |
| 7 | 2009 | 16 | |
| 8 | 2022 | 10 | |
| 9 | 2024 | 7 | |
| 10 | 2011 | 4 | |
| 11 | 2024 | 2 |
About Lee Chae
Lee Chae is a scholar working on Plant Science, Molecular Biology, Gastroenterology, Biochemistry and Neurology, having authored 11 papers that have together received 945 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (3 papers), Bioinformatics and Genomic Networks (2 papers), Plant biochemistry and biosynthesis (2 papers), Piperaceae Chemical and Biological Studies (1 paper), Phytochemicals and Antioxidant Activities (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Carcinogens and Genotoxicity Assessment (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Plant Science (425 citations), Molecular Biology (427 citations), Genetics (115 citations), Health Informatics (5 citations) and Pharmacology (29 citations). Lee Chae has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Seung Y. Rhee, Ricardo Nilo‐Poyanco, Daniel Kahn, Thomas Bernard, Peifen Zhang, Pascal Schläpfer, Zheng‐Hui He, Arvind K. Chavali, Michael Banf and Hongyun Tong. Their work appears in journals such as PLANT PHYSIOLOGY, Molecular Plant, Advances in Nutrition, Human & Experimental Toxicology and Science.
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.