Ha Eun Lee
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Global Maternal and Child Health 10
-
- Protein Degradation and Inhibitors 3
- Co-authors
- Joo Yeon Ko (8 shared papers)Eun Young Kim (1 shared paper)Chang Woo Lee (3 shared papers)Young Suck Ro (4 shared papers)Sze Kiat Tan (1 shared paper)Nagi G. Ayad (2 shared papers)Jae K. Lee (2 shared papers)Sangwon Lee (2 shared papers)
- Journals
- BMC Public Health (3 papers)Midwifery (2 papers)LWT (2 papers)Experimental Neurology (2 papers)Plants (2 papers)
- Partner nations
- South KoreaUnited StatesLiberia
In The Last Decade
Ha Eun Lee
47 papers receiving 482 citations
Peers
Comparison fields: 5 of 122
- Health Informatics 32
- Biological Psychiatry 12
- Neurology 38
- Dermatology 34
- Family Practice 8
Countries citing papers authored by Ha Eun Lee
This map shows the geographic impact of Ha 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 Ha 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 Ha Eun Lee more than expected).
Fields of papers citing papers by Ha Eun Lee
This network shows the impact of papers produced by Ha 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 Ha Eun Lee. The network helps show where Ha Eun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ha 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 88 | |
| 2 | 2018 | 39 | |
| 3 | 2024 | 30 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2010 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2011 | 14 | |
| 12 | 2012 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2011 | 11 | |
| 15 | 2011 | 9 | |
| 16 | 2011 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2020 | 8 |
About Ha Eun Lee
Ha Eun Lee is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience and General Health Professions, having authored 58 papers that have together received 497 indexed citations. Recurring topics across this work include Global Maternal and Child Health (10 papers), Insect Utilization and Effects (5 papers), Consumer Perception and Purchasing Behavior (5 papers), Poverty, Education, and Child Welfare (4 papers), Protein Degradation and Inhibitors (3 papers), Healthcare Systems and Reforms (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). The work is most often cited by research in Health Informatics (32 citations), Biological Psychiatry (12 citations), Neurology (38 citations), Dermatology (34 citations) and Family Practice (8 citations). Ha Eun Lee has collaborated with scholars based in South Korea, United States and Liberia. Frequent co-authors include Joo Yeon Ko, Eun Young Kim, Chang Woo Lee, Young Suck Ro, Sze Kiat Tan, Nagi G. Ayad, Jae K. Lee, Sangwon Lee, James S. Choi and Sang Min Lim. Their work appears in journals such as BMC Public Health, Midwifery, LWT, Experimental Neurology and Plants.
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.