Ga-Eun Lee
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
-
- Immune cells in cancer
- Immune Cell Function and Interaction
- interferon and immune responses
- Immunotherapy and Immune Responses
Papers in
-
- Ubiquitin and proteasome pathways 6
- Genomics and Phylogenetic Studies 2
- Nuclear Structure and Function 2
- Natural product bioactivities and synthesis 2
- RNA Research and Splicing 2
- Co-authors
- Cheol‐Jung Lee (15 shared papers)Yong‐Yeon Cho (17 shared papers)Han Chang Kang (11 shared papers)Hye Suk Lee (11 shared papers)Joo Young Lee (11 shared papers)Dae Joon Kim (7 shared papers)Yong‐Chul Kim (3 shared papers)Hyojin Ko (3 shared papers)
- Journals
- Archives of Pharmacal Research (2 papers)International Journal of Molecular Sciences (2 papers)Marine Drugs (2 papers)Experimental & Molecular Medicine (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Ga-Eun Lee
29 papers receiving 312 citations
Peers
Comparison fields: 5 of 76
- Physiology 53
- Immunology 75
- Biological Psychiatry 7
- Oncology 62
- Speech and Hearing 15
Countries citing papers authored by Ga-Eun Lee
This map shows the geographic impact of Ga-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 Ga-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 Ga-Eun Lee more than expected).
Fields of papers citing papers by Ga-Eun Lee
This network shows the impact of papers produced by Ga-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 Ga-Eun Lee. The network helps show where Ga-Eun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ga-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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 42 | |
| 2 | 2016 | 41 | |
| 3 | 2019 | 38 | |
| 4 | 2015 | 36 | |
| 5 | 2021 | 25 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 10 | |
| 9 | 2015 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2014 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2024 | 3 |
About Ga-Eun Lee
Ga-Eun Lee is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Epidemiology and Physiology, having authored 32 papers that have together received 317 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Adenosine and Purinergic Signaling (3 papers), Genomics and Phylogenetic Studies (2 papers), Nuclear Structure and Function (2 papers), Microbial Metabolism and Applications (2 papers), Skin Protection and Aging (2 papers), Natural product bioactivities and synthesis (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Physiology (53 citations), Immunology (75 citations), Biological Psychiatry (7 citations), Oncology (62 citations) and Speech and Hearing (15 citations). Ga-Eun Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Cheol‐Jung Lee, Yong‐Yeon Cho, Han Chang Kang, Hye Suk Lee, Joo Young Lee, Dae Joon Kim, Yong‐Chul Kim, Hyojin Ko, Hyun‐Jung An and Jin-Hee Park. Their work appears in journals such as Archives of Pharmacal Research, International Journal of Molecular Sciences, Marine Drugs, Experimental & Molecular Medicine and Journal of Medicinal 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.