Ji Eun Lee
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
- Genetics top 5%
- Genetic and Kidney Cyst Diseases
Papers in
-
- Renal and related cancers 4
- Receptor Mechanisms and Signaling 3
-
- Neurobiology and Insect Physiology Research 5
- Hereditary Neurological Disorders 5
- Co-authors
- Joseph G. Gleeson (4 shared papers)Pedro Aza‐Blanc (2 shared papers)Joon Kim (3 shared papers)Susanne Heynen‐Genel (2 shared papers)Trey Ideker (1 shared paper)Eigo Suyama (1 shared paper)KiYoung Lee (1 shared paper)Keiichiro Ono (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Nucleic Acids Research (2 papers)Acta Oto-Laryngologica (2 papers)Cochlear Implants International (2 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Ji Eun Lee
49 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 110
- Sensory Systems 139
- Genetics 561
- Cell Biology 288
- Developmental Neuroscience 63
- Molecular Biology 1.1k
Countries citing papers authored by Ji Eun Lee
This map shows the geographic impact of Ji 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 Ji 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 Ji Eun Lee more than expected).
Fields of papers citing papers by Ji Eun Lee
This network shows the impact of papers produced by Ji 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 Ji Eun Lee. The network helps show where Ji Eun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 434 | |
| 2 | 2012 | 183 | |
| 3 | 2006 | 97 | |
| 4 | 2014 | 73 | |
| 5 | 2009 | 72 | |
| 6 | 2004 | 72 | |
| 7 | 2011 | 70 | |
| 8 | 2003 | 64 | |
| 9 | 2014 | 51 | |
| 10 | 2003 | 51 | |
| 11 | 2012 | 44 | |
| 12 | 2016 | 42 | |
| 13 | 2013 | 36 | |
| 14 | 2021 | 36 | |
| 15 | 2017 | 35 | |
| 16 | 2004 | 32 | |
| 17 | 2019 | 30 | |
| 18 | 2004 | 29 | |
| 19 | 2001 | 25 | |
| 20 | 2016 | 25 |
About Ji Eun Lee
Ji Eun Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cell Biology and Sensory Systems, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (8 papers), Neurobiology and Insect Physiology Research (5 papers), Hereditary Neurological Disorders (5 papers), Renal and related cancers (4 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Immune Response and Inflammation (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Sensory Systems (139 citations), Genetics (561 citations), Cell Biology (288 citations), Developmental Neuroscience (63 citations) and Molecular Biology (1.1k citations). Ji Eun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joseph G. Gleeson, Pedro Aza‐Blanc, Joon Kim, Susanne Heynen‐Genel, Trey Ideker, Eigo Suyama, KiYoung Lee, Keiichiro Ono, Richard I. Dorsky and Neil L. Kelleher. Their work appears in journals such as Biochemical and Biophysical Research Communications, Nucleic Acids Research, Acta Oto-Laryngologica, Cochlear Implants International and Scientific Reports.
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.