Eun‐Yi Moon
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Genomics, phytochemicals, and oxidative stress 10
- Redox biology and oxidative stress 8
- Immunology 37
- Immune Response and Inflammation 10
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immune cells in cancer 8
- Co-authors
- Suhkneung Pyo (17 shared papers)Adam Lerner (5 shared papers)Jae‐Wook Lee (16 shared papers)Dong‐Kwon Rhee (10 shared papers)Dae‐Yeul Yu (9 shared papers)Sung Hee Um (8 shared papers)Yun‐Kyoung Ryu (9 shared papers)Ying‐Hao Han (4 shared papers)
- Journals
- International Immunopharmacology (11 papers)Biomolecules & Therapeutics (10 papers)Scientific Reports (5 papers)Cancer Letters (5 papers)International Journal of Molecular Sciences (4 papers)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Eun‐Yi Moon
108 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 125
- Immunology 659
- Cancer Research 363
- Immunology and Allergy 141
- Molecular Biology 1.4k
- Cell Biology 260
Countries citing papers authored by Eun‐Yi Moon
This map shows the geographic impact of Eun‐Yi Moon'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‐Yi Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Yi Moon more than expected).
Fields of papers citing papers by Eun‐Yi Moon
This network shows the impact of papers produced by Eun‐Yi Moon. 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‐Yi Moon. The network helps show where Eun‐Yi Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside Eun‐Yi Moon, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 103 | |
| 2 | 2005 | 96 | |
| 3 | 2012 | 88 | |
| 4 | 2010 | 77 | |
| 5 | 2002 | 74 | |
| 6 | 2003 | 71 | |
| 7 | 2003 | 69 | |
| 8 | 2005 | 65 | |
| 9 | 2008 | 57 | |
| 10 | Inhibition of PDE3B augments PDE4 inhibitor-induced apoptosis in a subset of patients with chronic lymphocytic leukemia. | 2002 | 53 |
| 11 | 2011 | 52 | |
| 12 | 2006 | 51 | |
| 13 | 2005 | 49 | |
| 14 | 2011 | 49 | |
| 15 | 2006 | 47 | |
| 16 | 2011 | 45 | |
| 17 | 2005 | 44 | |
| 18 | 2011 | 44 | |
| 19 | 1999 | 44 | |
| 20 | 2004 | 44 |
About Eun‐Yi Moon
Eun‐Yi Moon is a scholar working on Molecular Biology, Immunology, Cancer Research, Cell Biology and Oncology, having authored 108 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (13 papers), Immune Response and Inflammation (10 papers), Genomics, phytochemicals, and oxidative stress (10 papers), Immune Cell Function and Interaction (9 papers), Redox biology and oxidative stress (8 papers), NF-κB Signaling Pathways (8 papers), T-cell and B-cell Immunology (8 papers) and Immune cells in cancer (8 papers). The work is most often cited by research in Immunology (659 citations), Cancer Research (363 citations), Immunology and Allergy (141 citations), Molecular Biology (1.4k citations) and Cell Biology (260 citations). Eun‐Yi Moon has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Suhkneung Pyo, Adam Lerner, Jae‐Wook Lee, Dong‐Kwon Rhee, Dae‐Yeul Yu, Sung Hee Um, Yun‐Kyoung Ryu, Ying‐Hao Han, Jong Soon Kang and Sojin Park. Their work appears in journals such as International Immunopharmacology, Biomolecules & Therapeutics, Scientific Reports, Cancer Letters and International Journal of Molecular Sciences.
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.