Ye-Jin Eun
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Bacterial biofilms and quorum sensing 7
- Protein Structure and Dynamics 2
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Douglas B. Weibel (9 shared papers)Matthew F. Copeland (2 shared papers)Shoji Takeuchi (1 shared paper)Andrew S. Utada (1 shared paper)Ethan C. Garner (3 shared papers)Hannah H. Tuson (1 shared paper)Martin Thanbichler (2 shared papers)John D. Helmann (1 shared paper)
- Journals
- Journal of the American Chemical Society (3 papers)ACS Chemical Biology (1 paper)Nature Chemical Biology (1 paper)MedChemComm (1 paper)Langmuir (1 paper)
- Partner nations
- United StatesGermanyBulgaria
In The Last Decade
Ye-Jin Eun
14 papers receiving 621 citations
Peers
Comparison fields: 5 of 80
- Molecular Medicine 63
- Microbiology 57
- Genetics 147
- Molecular Biology 336
- Endocrinology 23
Countries citing papers authored by Ye-Jin Eun
This map shows the geographic impact of Ye-Jin Eun'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 Ye-Jin Eun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye-Jin Eun more than expected).
Fields of papers citing papers by Ye-Jin Eun
This network shows the impact of papers produced by Ye-Jin Eun. 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 Ye-Jin Eun. The network helps show where Ye-Jin Eun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye-Jin Eun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 160 | |
| 2 | 2011 | 71 | |
| 3 | 2017 | 64 | |
| 4 | 2014 | 62 | |
| 5 | 2012 | 56 | |
| 6 | 2009 | 46 | |
| 7 | 2012 | 45 | |
| 8 | 2011 | 45 | |
| 9 | 2015 | 28 | |
| 10 | 2013 | 16 | |
| 11 | 2013 | 12 | |
| 12 | 2007 | 12 | |
| 13 | 2009 | 11 | |
| 14 | 2010 | 8 |
About Ye-Jin Eun
Ye-Jin Eun is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Biomedical Engineering, having authored 14 papers that have together received 636 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (7 papers), Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (4 papers), Antibiotic Resistance in Bacteria (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Protein Structure and Dynamics (2 papers), Hemoglobin structure and function (2 papers) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Molecular Medicine (63 citations), Microbiology (57 citations), Genetics (147 citations), Molecular Biology (336 citations) and Endocrinology (23 citations). Ye-Jin Eun has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Douglas B. Weibel, Matthew F. Copeland, Shoji Takeuchi, Andrew S. Utada, Ethan C. Garner, Hannah H. Tuson, Martin Thanbichler, John D. Helmann, Kathrin Schirner and Yun Luo. Their work appears in journals such as Journal of the American Chemical Society, ACS Chemical Biology, Nature Chemical Biology, MedChemComm and Langmuir.
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.