Eun‐Kyung Moon
Impact in
- Endocrinology top 0.5%
- Legionella and Acanthamoeba research
- Vibrio bacteria research studies
- Parasitology top 5%
- Toxoplasma gondii Research Studies
Papers in
-
- Legionella and Acanthamoeba research 49
-
- Heme Oxygenase-1 and Carbon Monoxide 22
- Bacterial biofilms and quorum sensing 14
- Co-authors
- Hyun-Hee Kong (49 shared papers)Yeonchul Hong (24 shared papers)Dong-Il Chung (23 shared papers)Fu‐Shi Quan (62 shared papers)Ki‐Back Chu (41 shared papers)Hae‐Ahm Lee (19 shared papers)Su‐Hwa Lee (23 shared papers)Hae‐Ji Kang (24 shared papers)
- Journals
- Experimental Parasitology (11 papers)PLoS ONE (7 papers)Parasite Immunology (3 papers)Vaccines (3 papers)Eukaryotic Cell (3 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Eun‐Kyung Moon
91 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Endocrinology 553
- Parasitology 173
- Epidemiology 294
- Virology 38
- Molecular Biology 572
Countries citing papers authored by Eun‐Kyung Moon
This map shows the geographic impact of Eun‐Kyung 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‐Kyung 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‐Kyung Moon more than expected).
Fields of papers citing papers by Eun‐Kyung Moon
This network shows the impact of papers produced by Eun‐Kyung 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‐Kyung Moon. The network helps show where Eun‐Kyung Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside Eun‐Kyung 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 58 | |
| 2 | 2008 | 56 | |
| 3 | 2012 | 45 | |
| 4 | 2012 | 43 | |
| 5 | 2015 | 37 | |
| 6 | 2008 | 34 | |
| 7 | 2015 | 31 | |
| 8 | 2019 | 26 | |
| 9 | 2014 | 26 | |
| 10 | 2011 | 25 | |
| 11 | 2013 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2011 | 23 | |
| 14 | 2007 | 23 | |
| 15 | 2021 | 22 | |
| 16 | 2015 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2018 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2015 | 18 |
About Eun‐Kyung Moon
Eun‐Kyung Moon is a scholar working on Endocrinology, Molecular Biology, Epidemiology, Parasitology and Immunology, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (49 papers), Heme Oxygenase-1 and Carbon Monoxide (22 papers), Toxoplasma gondii Research Studies (16 papers), Bacterial biofilms and quorum sensing (14 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers), Autophagy in Disease and Therapy (11 papers), Herpesvirus Infections and Treatments (10 papers) and Influenza Virus Research Studies (7 papers). The work is most often cited by research in Endocrinology (553 citations), Parasitology (173 citations), Epidemiology (294 citations), Virology (38 citations) and Molecular Biology (572 citations). Eun‐Kyung Moon has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hyun-Hee Kong, Yeonchul Hong, Dong-Il Chung, Fu‐Shi Quan, Ki‐Back Chu, Hae‐Ahm Lee, Su‐Hwa Lee, Hae‐Ji Kang, Youn‐Kyoung Goo and Yu‐Ran Lee. Their work appears in journals such as Experimental Parasitology, PLoS ONE, Parasite Immunology, Vaccines and Eukaryotic Cell.
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.