Ji Eun Yu
Impact in
- Epidemiology top 10%
- Autophagy in Disease and Therapy
- Influenza Virus Research Studies
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- Ubiquitin and proteasome pathways
- Studies on Chitinases and Chitosanases
Papers in
-
- Drug-Induced Adverse Reactions 8
- Epidemiology 14
- Influenza Virus Research Studies 7
- Autophagy in Disease and Therapy 6
- Co-authors
- Thanh Dong Nguyen (1 shared paper)Gae-Ho Lee (1 shared paper)Jin Tae Hong (16 shared papers)Sang‐Bae Han (15 shared papers)Jaesuk Yun (13 shared papers)Dong Ju Son (14 shared papers)In Jun Yeo (9 shared papers)Baik Lin Seong (8 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Journal of Veterinary Science (3 papers)Scientific Reports (2 papers)Archives of Pharmacal Research (2 papers)Molecular Oncology (2 papers)
- Partner nations
- South KoreaUnited StatesIsrael
In The Last Decade
Ji Eun Yu
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Epidemiology 276
- Molecular Biology 398
- Food Science 119
- Animal Science and Zoology 51
- Pharmacology 70
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 224 | |
| 2 | 2017 | 210 | |
| 3 | 2008 | 132 | |
| 4 | 2018 | 93 | |
| 5 | 2024 | 65 | |
| 6 | 2018 | 40 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 34 | |
| 9 | 2011 | 32 | |
| 10 | 2019 | 32 | |
| 11 | 2016 | 28 | |
| 12 | 2021 | 20 | |
| 13 | 2015 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2014 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2009 | 15 | |
| 18 | 2023 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 2013 | 12 |
About Ji Eun Yu
Ji Eun Yu is a scholar working on Pharmacology, Epidemiology, Cell Biology, Physical Therapy, Sports Therapy and Rehabilitation and Molecular Biology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug-Induced Adverse Reactions (8 papers), Influenza Virus Research Studies (7 papers), Autophagy in Disease and Therapy (6 papers), Studies on Chitinases and Chitosanases (5 papers), Physical Education and Pedagogy (4 papers), Protein purification and stability (4 papers), RNA and protein synthesis mechanisms (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Epidemiology (276 citations), Molecular Biology (398 citations), Food Science (119 citations), Animal Science and Zoology (51 citations) and Pharmacology (70 citations). Ji Eun Yu has collaborated with scholars based in South Korea, United States and Israel. Frequent co-authors include Thanh Dong Nguyen, Gae-Ho Lee, Jin Tae Hong, Sang‐Bae Han, Jaesuk Yun, Dong Ju Son, In Jun Yeo, Baik Lin Seong, Sang‐Soep Nahm and Young‐Il Koh. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Veterinary Science, Scientific Reports, Archives of Pharmacal Research and Molecular Oncology.
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.