Eun‐Jung Cho
- Molecular Biology top 1%
- Cancer Research top 2%
- Oncology top 5%
- Epidemiology top 5%
- Immunology top 5%
- Co-authors
- Stephen BuratowskiHong‐Duk YounPhilip KomarnitskyHyonchol JangToshimitsu TakagiHyungsoo KimSeong‐Tae KimMin Kyu Kim
- Topics
- Genomics and Chromatin Dynamics (25 papers)RNA Research and Splicing (24 papers)Epigenetics and DNA Methylation (23 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Eun‐Jung Cho
227 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 5.0k
- Cancer Research 793
- Oncology 749
- Epidemiology 517
- Immunology 485
Countries citing papers authored by Eun‐Jung Cho
This map shows the geographic impact of Eun‐Jung Cho'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‐Jung Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Jung Cho more than expected).
Fields of papers citing papers by Eun‐Jung Cho
This network shows the impact of papers produced by Eun‐Jung Cho. 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‐Jung Cho. The network helps show where Eun‐Jung Cho may publish in the future.
Co-authorship network of co-authors of Eun‐Jung Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Jung Cho. A scholar is included among the top collaborators of Eun‐Jung Cho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eun‐Jung Cho. Eun‐Jung Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 37 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 28 | |
| 14 | Development of Evaluation Indicators on Improvement Level of Rural Village Roads in Korea | 1 |
| 15 | 45 | |
| 16 | Estimation of Daily Exposure to 3-Monochloropropane-1,2-diol from Commercial Soy Sauces in Korea | 8 |
| 17 | Cytogenetic Characteristics of Chinese Hamster Ovarian Cell CHO-K1 | 1 |
| 18 | Effects of Education for Safe Handling of Cytotoxic Drugs on Knowledge and Practice in Oncology Nurses | 2 |
| 19 | Embarrassment: a concept analysis | 3 |
| 20 | 61 |
About Eun‐Jung Cho
Eun‐Jung Cho is a scholar working on Leadership and Management, Nephrology and Molecular Biology, having authored 249 papers that have together received 6.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (25 papers), RNA Research and Splicing (24 papers) and Epigenetics and DNA Methylation (23 papers). The work is most often cited by research in Molecular Biology (5.0k citations), Cancer Research (793 citations) and Aging (69 citations). Eun‐Jung Cho has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Stephen Buratowski, Hong‐Duk Youn, Philip Komarnitsky, Hyonchol Jang, Toshimitsu Takagi, Hyungsoo Kim, Seong‐Tae Kim, Min Kyu Kim, Jack Greenblatt and Michael S. Kobor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.