Yuseok Moon
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Plant Science top 2%
- Mycotoxins in Agriculture and Food
- Wheat and Barley Genetics and Pathology
Papers in
-
- Gut microbiota and health 6
- Immunology 31
- Macrophage Migration Inhibitory Factor 11
- Immune Response and Inflammation 9
- Co-authors
- James J. Pestka (4 shared papers)Hui-Ren Zhou (2 shared papers)Juil Kim (35 shared papers)Yunro Chung (1 shared paper)Hyun Yang (11 shared papers)Hye Jin Choi (21 shared papers)Seonghwan Park (21 shared papers)Thomas E. Eling (7 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Biochemical Pharmacology (5 papers)The Journal of Immunology (5 papers)Toxicology and Applied Pharmacology (5 papers)Nutrients (4 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Yuseok Moon
103 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 440
- Plant Science 902
- Immunology 442
- Small Animals 149
- Molecular Biology 1.0k
Countries citing papers authored by Yuseok Moon
This map shows the geographic impact of Yuseok 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 Yuseok Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuseok Moon more than expected).
Fields of papers citing papers by Yuseok Moon
This network shows the impact of papers produced by Yuseok 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 Yuseok Moon. The network helps show where Yuseok Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuseok 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 418 | |
| 2 | 2002 | 139 | |
| 3 | 2006 | 91 | |
| 4 | 2005 | 84 | |
| 5 | 2007 | 78 | |
| 6 | 2010 | 68 | |
| 7 | 2006 | 58 | |
| 8 | 2003 | 56 | |
| 9 | 2002 | 54 | |
| 10 | 2012 | 52 | |
| 11 | 2007 | 52 | |
| 12 | 2005 | 48 | |
| 13 | 2003 | 44 | |
| 14 | 2019 | 41 | |
| 15 | 2005 | 41 | |
| 16 | 2012 | 41 | |
| 17 | 2010 | 38 | |
| 18 | 2009 | 38 | |
| 19 | 2003 | 37 | |
| 20 | 2005 | 37 |
About Yuseok Moon
Yuseok Moon is a scholar working on Molecular Biology, Immunology, Plant Science, Cancer Research and Oncology, having authored 109 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (19 papers), GDF15 and Related Biomarkers (15 papers), Macrophage Migration Inhibitory Factor (11 papers), Inflammatory mediators and NSAID effects (11 papers), Immune Response and Inflammation (9 papers), Carcinogens and Genotoxicity Assessment (7 papers), Estrogen and related hormone effects (7 papers) and Gut microbiota and health (6 papers). The work is most often cited by research in Cancer Research (440 citations), Plant Science (902 citations), Immunology (442 citations), Small Animals (149 citations) and Molecular Biology (1.0k citations). Yuseok Moon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include James J. Pestka, Hui-Ren Zhou, Juil Kim, Yunro Chung, Hyun Yang, Hye Jin Choi, Seonghwan Park, Thomas E. Eling, Kee Hun and Frank G. Bottone. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Pharmacology, The Journal of Immunology, Toxicology and Applied Pharmacology and Nutrients.
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.