Eun Hui Lee
- Molecular Biology top 10%
- Sensory Systems top 1%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology
- Co-authors
- Paul D. AllenDo Han KimJin Seok WooChung‐Hyun ChoIsaac N. PessahGennady CherednichenkoE. CollatzPhilippe Bertin
- Topics
- Ion Channels and Receptors (23 papers)Ion channel regulation and function (22 papers)Neurobiology and Insect Physiology Research (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Eun Hui Lee
70 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.1k
- Sensory Systems 424
- Cellular and Molecular Neuroscience 418
- Cardiology and Cardiovascular Medicine 337
- Physiology 177
Countries citing papers authored by Eun Hui Lee
This map shows the geographic impact of Eun Hui 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 Eun Hui Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun Hui Lee more than expected).
Fields of papers citing papers by Eun Hui Lee
This network shows the impact of papers produced by Eun Hui 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 Eun Hui Lee. The network helps show where Eun Hui Lee may publish in the future.
Co-authorship network of co-authors of Eun Hui Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Eun Hui Lee. A scholar is included among the top collaborators of Eun Hui Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eun Hui Lee. Eun Hui Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 12 | |
| 4 | 66 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 110 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 1 | |
| 11 | 50 | |
| 12 | 13 | |
| 13 | 24 | |
| 14 | The Effect of Acetylcholine Esterase Inhibitor on Cerebrospinal Fluid $\beta$-Amyloid 1-42 and Phosphorylated Tau Protein in Korean Alzheimer’s Disease Patients: Preliminary Study | 3 |
| 15 | 53 | |
| 16 | 12 | |
| 17 | Factors influencing quality of life of cervical cancer patients in Korea. | 5 |
| 18 | 81 | |
| 19 | 38 | |
| 20 | 61 |
About Eun Hui Lee
Eun Hui Lee is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Leadership and Management, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ion Channels and Receptors (23 papers), Ion channel regulation and function (22 papers) and Neurobiology and Insect Physiology Research (12 papers). The work is most often cited by research in Sensory Systems (424 citations), Cellular and Molecular Neuroscience (418 citations) and Molecular Biology (1.1k citations). Eun Hui Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Paul D. Allen, Do Han Kim, Jin Seok Woo, Chung‐Hyun Cho, Isaac N. Pessah, Gennady Cherednichenko, E. Collatz, Philippe Bertin, Charles Colson and Philippe Lejeune. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.