Chae Eun Lim
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Biochemistry top 10%
Papers in ⓘ
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- Plant and Fungal Species Descriptions 11
- Genomics and Phylogenetic Studies 10
- Plant Gene Expression Analysis 4
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- Ecology and Conservation Studies 7
- Co-authors
- Jun Lim (7 shared papers)Mi‐Hyun Lee (3 shared papers)Byoung‐Yoon Lee (8 shared papers)Shin Ae Lee (3 shared papers)Mi‐Ran Kim (2 shared papers)Joong‐Hoon Ahn (3 shared papers)Kwang Suk Chang (2 shared papers)Dong-Gwan Kim (1 shared paper)
- Journals
- Plants (2 papers)BMC Genomics (2 papers)Plant Molecular Biology (2 papers)Phytotaxa (1 paper)Molecules and Cells (1 paper)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Chae Eun Lim
40 papers receiving 611 citations
Peers
Comparison fields: 5 of 57
- Plant Science 353
- Biochemistry 46
- Molecular Biology 443
- Ecology, Evolution, Behavior and Systematics 96
- Pharmacology 32
Countries citing papers authored by Chae Eun Lim
This map shows the geographic impact of Chae Eun Lim'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 Chae Eun Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chae Eun Lim more than expected).
Fields of papers citing papers by Chae Eun Lim
This network shows the impact of papers produced by Chae Eun Lim. 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 Chae Eun Lim. The network helps show where Chae Eun Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chae Eun Lim, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 175 | |
| 2 | 2020 | 62 | |
| 3 | 2006 | 55 | |
| 4 | 2007 | 50 | |
| 5 | 2005 | 47 | |
| 6 | 2019 | 41 | |
| 7 | 2008 | 24 | |
| 8 | 2018 | 22 | |
| 9 | 2006 | 14 | |
| 10 | 2015 | 12 | |
| 11 | 2010 | 12 | |
| 12 | 2015 | 12 | |
| 13 | 2021 | 8 | |
| 14 | 2015 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2017 | 5 | |
| 20 | 2018 | 4 |
About Chae Eun Lim
Chae Eun Lim is a scholar working on Molecular Biology, Plant Science, Cell Biology, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 43 papers that have together received 624 indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (11 papers), Genomics and Phylogenetic Studies (10 papers), Plant Pathogens and Fungal Diseases (8 papers), Genetic diversity and population structure (7 papers), Ecology and Conservation Studies (7 papers), Plant and animal studies (5 papers), Plant-based Medicinal Research (5 papers) and Plant Gene Expression Analysis (4 papers). The work is most often cited by research in Plant Science (353 citations), Biochemistry (46 citations), Molecular Biology (443 citations), Ecology, Evolution, Behavior and Systematics (96 citations) and Pharmacology (32 citations). Chae Eun Lim has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Jun Lim, Mi‐Hyun Lee, Byoung‐Yoon Lee, Shin Ae Lee, Mi‐Ran Kim, Joong‐Hoon Ahn, Kwang Suk Chang, Dong-Gwan Kim, Bohye Kim and Sang-Kee Song. Their work appears in journals such as Plants, BMC Genomics, Plant Molecular Biology, Phytotaxa and Molecules and Cells.
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.