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
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- Ubiquitin and proteasome pathways 6
- RNA Research and Splicing 2
- PI3K/AKT/mTOR signaling in cancer 2
- RNA regulation and disease 2
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- interferon and immune responses 2
- Co-authors
- Yong‐Yeon Cho (17 shared papers)Cheol‐Jung Lee (15 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)So‐Deok Lee (3 shared papers)Hyojin Ko (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)International Journal of Molecular Sciences (2 papers)Archives of Pharmacal Research (2 papers)Experimental & Molecular Medicine (2 papers)Marine Drugs (2 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Ga-Eun Lee
29 papers receiving 325 citations
Peers
Comparison fields: 5 of 77
- Physiology 54
- Immunology 72
- Biological Psychiatry 7
- Speech and Hearing 14
- Oncology 56
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 | 38 | |
| 5 | 2021 | 27 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 10 | |
| 10 | 2015 | 10 | |
| 11 | 2017 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2024 | 3 |
About Ga-Eun Lee
Ga-Eun Lee is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Infectious Diseases and Pharmacology, having authored 32 papers that have together received 330 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Adenosine and Purinergic Signaling (3 papers), interferon and immune responses (2 papers), RNA Research and Splicing (2 papers), Microbial Metabolism and Applications (2 papers), Autophagy in Disease and Therapy (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Physiology (54 citations), Immunology (72 citations), Biological Psychiatry (7 citations), Speech and Hearing (14 citations) and Oncology (56 citations). Ga-Eun Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Yong‐Yeon Cho, Cheol‐Jung Lee, Han Chang Kang, Hye Suk Lee, Joo Young Lee, Dae Joon Kim, So‐Deok Lee, Hyojin Ko, Yong‐Chul Kim and Hyun‐Jung An. Their work appears in journals such as Journal of Medicinal Chemistry, International Journal of Molecular Sciences, Archives of Pharmacal Research, Experimental & Molecular Medicine and Marine Drugs.
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.