Yeonmi Lee
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Postharvest Quality and Shelf Life Management
Papers in
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- Pluripotent Stem Cells Research 10
- Mitochondrial Function and Pathology 7
- CRISPR and Genetic Engineering 5
- Renal and related cancers 2
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- Metabolism and Genetic Disorders 4
- Co-authors
- Eunju Kang (21 shared papers)Bong‐Kwan Phee (1 shared paper)Ji Hyung Jun (1 shared paper)Hye Ryun Woo (1 shared paper)Sung Hyun Hong (1 shared paper)Rupak Timilsina (1 shared paper)Hyo Jung Kim (1 shared paper)Hong Gil Nam (1 shared paper)
- Journals
- BMB Reports (4 papers)PLoS ONE (2 papers)Cells (2 papers)iScience (1 paper)Current Developments in Nutrition (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Yeonmi Lee
25 papers receiving 514 citations
Peers
Comparison fields: 5 of 77
- Clinical Biochemistry 54
- Plant Science 226
- Molecular Biology 373
- Aging 9
- Biochemistry 17
Countries citing papers authored by Yeonmi Lee
This map shows the geographic impact of Yeonmi 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 Yeonmi Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeonmi Lee more than expected).
Fields of papers citing papers by Yeonmi Lee
This network shows the impact of papers produced by Yeonmi 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 Yeonmi Lee. The network helps show where Yeonmi Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeonmi 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 217 | |
| 2 | 2016 | 93 | |
| 3 | 2010 | 60 | |
| 4 | 2018 | 25 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2011 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Yeonmi Lee
Yeonmi Lee is a scholar working on Molecular Biology, Clinical Biochemistry, Public Health, Environmental and Occupational Health, Plant Science and Surgery, having authored 27 papers that have together received 526 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Mitochondrial Function and Pathology (7 papers), CRISPR and Genetic Engineering (5 papers), Metabolism and Genetic Disorders (4 papers), Reproductive Biology and Fertility (3 papers), Renal and related cancers (2 papers), Nutrition and Health in Aging (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Clinical Biochemistry (54 citations), Plant Science (226 citations), Molecular Biology (373 citations), Aging (9 citations) and Biochemistry (17 citations). Yeonmi Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Eunju Kang, Bong‐Kwan Phee, Ji Hyung Jun, Hye Ryun Woo, Sung Hyun Hong, Rupak Timilsina, Hyo Jung Kim, Hong Gil Nam, Il Hwan Lee and Pyung Ok Lim. Their work appears in journals such as BMB Reports, PLoS ONE, Cells, iScience and Current Developments in Nutrition.
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.