Kye‐Il Joo
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
Papers in
-
- RNA Interference and Gene Delivery 14
- Advanced biosensing and bioanalysis techniques 6
- CRISPR and Genetic Engineering 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- Genetics 13
- Virus-based gene therapy research 13
- Co-authors
- Pin Wang (24 shared papers)Yi Tang (7 shared papers)Zhen Gu (7 shared papers)Biliang Hu (6 shared papers)Yarong Liu (9 shared papers)Muxun Zhao (4 shared papers)Anuradha Biswas (4 shared papers)Xiao Liang (5 shared papers)
- Journals
- ACS Nano (3 papers)Virus Research (2 papers)Journal of Biological Engineering (2 papers)PLoS ONE (2 papers)Biotechnology and Bioengineering (1 paper)
- Partner nations
- United States
In The Last Decade
Kye‐Il Joo
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Biomaterials 370
- Molecular Biology 753
- Genetics 225
- Biomedical Engineering 336
- Pharmaceutical Science 45
Countries citing papers authored by Kye‐Il Joo
This map shows the geographic impact of Kye‐Il Joo'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 Kye‐Il Joo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kye‐Il Joo more than expected).
Fields of papers citing papers by Kye‐Il Joo
This network shows the impact of papers produced by Kye‐Il Joo. 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 Kye‐Il Joo. The network helps show where Kye‐Il Joo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kye‐Il Joo, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 149 | |
| 2 | 2009 | 127 | |
| 3 | 2008 | 112 | |
| 4 | 2015 | 101 | |
| 5 | 2014 | 95 | |
| 6 | 2011 | 94 | |
| 7 | 2014 | 83 | |
| 8 | 2011 | 78 | |
| 9 | 2013 | 75 | |
| 10 | 2012 | 46 | |
| 11 | 2011 | 35 | |
| 12 | 2010 | 35 | |
| 13 | 2011 | 33 | |
| 14 | 2009 | 22 | |
| 15 | 2009 | 22 | |
| 16 | 2012 | 20 | |
| 17 | 2006 | 15 | |
| 18 | 2010 | 14 | |
| 19 | 2013 | 14 | |
| 20 | 2014 | 13 |
About Kye‐Il Joo
Kye‐Il Joo is a scholar working on Molecular Biology, Genetics, Immunology, Organic Chemistry and Oncology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (14 papers), Virus-based gene therapy research (13 papers), Advanced biosensing and bioanalysis techniques (6 papers), Immunotherapy and Immune Responses (5 papers), CRISPR and Genetic Engineering (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), CAR-T cell therapy research (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Biomaterials (370 citations), Molecular Biology (753 citations), Genetics (225 citations), Biomedical Engineering (336 citations) and Pharmaceutical Science (45 citations). Kye‐Il Joo has collaborated with scholars based in United States. Frequent co-authors include Pin Wang, Yi Tang, Zhen Gu, Biliang Hu, Yarong Liu, Muxun Zhao, Anuradha Biswas, Xiao Liang, Jinxu Fang and Jiansong Xie. Their work appears in journals such as ACS Nano, Virus Research, Journal of Biological Engineering, PLoS ONE and Biotechnology and Bioengineering.
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.