Ji Eun Yu
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
Papers in
-
- Studies on Chitinases and Chitosanases 9
- Epidemiology 13
- Influenza Virus Research Studies 6
- Autophagy in Disease and Therapy 5
- Co-authors
- Gae-Ho Lee (1 shared paper)Thanh Dong Nguyen (1 shared paper)Jin Tae Hong (14 shared papers)Sang‐Bae Han (14 shared papers)Dong Ju Son (13 shared papers)Jaesuk Yun (12 shared papers)Baik Lin Seong (8 shared papers)In Jun Yeo (9 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Journal of Veterinary Science (3 papers)Archives of Pharmacal Research (2 papers)Molecular Oncology (2 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Ji Eun Yu
47 papers receiving 701 citations
Peers
Comparison fields: 5 of 92
- Animal Science and Zoology 95
- Infectious Diseases 154
- Analytical Chemistry 84
- Food Science 123
- Immunology 103
Countries citing papers authored by Ji Eun Yu
This map shows the geographic impact of Ji Eun Yu'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 Ji Eun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Eun Yu more than expected).
Fields of papers citing papers by Ji Eun Yu
This network shows the impact of papers produced by Ji Eun Yu. 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 Ji Eun Yu. The network helps show where Ji Eun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Eun Yu, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 132 | |
| 2 | 2018 | 86 | |
| 3 | 2024 | 54 | |
| 4 | 2018 | 40 | |
| 5 | 2021 | 37 | |
| 6 | 2011 | 33 | |
| 7 | 2019 | 29 | |
| 8 | 2016 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2014 | 16 | |
| 13 | 2015 | 16 | |
| 14 | 2009 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2013 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2014 | 11 |
About Ji Eun Yu
Ji Eun Yu is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Pharmacology and Immunology, having authored 57 papers that have together received 731 indexed citations. Recurring topics across this work include Studies on Chitinases and Chitosanases (9 papers), Drug-Induced Adverse Reactions (8 papers), Influenza Virus Research Studies (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Autophagy in Disease and Therapy (5 papers), Urticaria and Related Conditions (4 papers), Infectious Encephalopathies and Encephalitis (4 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Animal Science and Zoology (95 citations), Infectious Diseases (154 citations), Analytical Chemistry (84 citations), Food Science (123 citations) and Immunology (103 citations). Ji Eun Yu has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Gae-Ho Lee, Thanh Dong Nguyen, Jin Tae Hong, Sang‐Bae Han, Dong Ju Son, Jaesuk Yun, Baik Lin Seong, In Jun Yeo, Sang‐Soep Nahm and Soon Bin Kwon. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Veterinary Science, Archives of Pharmacal Research, Molecular Oncology and Scientific Reports.
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.