Eunju Kwon
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
Papers in
-
- RNA and protein synthesis mechanisms 5
- Ubiquitin and proteasome pathways 3
- Genomics and Phylogenetic Studies 3
- Genetics 13
- Bacterial Genetics and Biotechnology 12
- Co-authors
- Dong Young Kim (27 shared papers)John D. Gross (5 shared papers)Nevan J. Krogan (3 shared papers)Kyeong Kyu Kim (7 shared papers)Reuben S. Harris (2 shared papers)Stefanie Jäger (2 shared papers)Linda Yen (2 shared papers)David C. Crosby (2 shared papers)
- Journals
- PLoS ONE (3 papers)Protein Science (3 papers)Proceedings of the National Academy of Sciences (3 papers)Biochemical and Biophysical Research Communications (2 papers)IUCrJ (2 papers)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Eunju Kwon
34 papers receiving 845 citations
Peers
Comparison fields: 5 of 73
- Virology 297
- Infectious Diseases 166
- Endocrinology 38
- Immunology 144
- Molecular Biology 436
Countries citing papers authored by Eunju Kwon
This map shows the geographic impact of Eunju Kwon'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 Eunju Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunju Kwon more than expected).
Fields of papers citing papers by Eunju Kwon
This network shows the impact of papers produced by Eunju Kwon. 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 Eunju Kwon. The network helps show where Eunju Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunju Kwon, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 294 | |
| 2 | 2013 | 97 | |
| 3 | 2012 | 55 | |
| 4 | 2002 | 44 | |
| 5 | 2007 | 40 | |
| 6 | 2010 | 32 | |
| 7 | 2021 | 26 | |
| 8 | 2017 | 24 | |
| 9 | 2019 | 24 | |
| 10 | 2018 | 23 | |
| 11 | 2017 | 21 | |
| 12 | 2008 | 21 | |
| 13 | 2010 | 19 | |
| 14 | 2008 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2018 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2012 | 11 | |
| 20 | 2014 | 8 |
About Eunju Kwon
Eunju Kwon is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Ecology and Oncology, having authored 34 papers that have together received 849 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Enzyme Structure and Function (8 papers), Bacteriophages and microbial interactions (7 papers), RNA and protein synthesis mechanisms (5 papers), Ubiquitin and proteasome pathways (3 papers), Genomics and Phylogenetic Studies (3 papers), HIV Research and Treatment (3 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Virology (297 citations), Infectious Diseases (166 citations), Endocrinology (38 citations), Immunology (144 citations) and Molecular Biology (436 citations). Eunju Kwon has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Dong Young Kim, John D. Gross, Nevan J. Krogan, Kyeong Kyu Kim, Reuben S. Harris, Stefanie Jäger, Linda Yen, David C. Crosby, Judd F. Hultquist and Charles S. Craik. Their work appears in journals such as PLoS ONE, Protein Science, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and IUCrJ.
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.