Ickwon Choi
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Galectins and Cancer Biology
Papers in
-
- Glycosylation and Glycoproteins Research 1
- Gene expression and cancer classification 1
- Genomics, phytochemicals, and oxidative stress 1
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Chris Bailey‐Kellogg (4 shared papers)Galit Alter (4 shared papers)Margaret E. Ackerman (4 shared papers)Anne‐Sophie Dugast (2 shared papers)Anna F. Licht (2 shared papers)Max Crispin (1 shared paper)David J. Harvey (1 shared paper)Chris Scanlan (1 shared paper)
- Journals
- Artificial Cells Nanomedicine and Biotechnology (1 paper)Journal of Virology (1 paper)Journal of Biomedical Informatics (1 paper)Journal of Clinical Investigation (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesThailandSouth Korea
In The Last Decade
Ickwon Choi
7 papers receiving 527 citations
Peers
Comparison fields: 5 of 64
- Virology 138
- Immunology 260
- Radiology, Nuclear Medicine and Imaging 254
- Infectious Diseases 68
- Molecular Biology 206
Countries citing papers authored by Ickwon Choi
This map shows the geographic impact of Ickwon Choi'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 Ickwon Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ickwon Choi more than expected).
Fields of papers citing papers by Ickwon Choi
This network shows the impact of papers produced by Ickwon Choi. 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 Ickwon Choi. The network helps show where Ickwon Choi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ickwon Choi, 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 | 2013 | 286 | |
| 2 | 2012 | 129 | |
| 3 | 2015 | 36 | |
| 4 | 2013 | 35 | |
| 5 | 2011 | 34 | |
| 6 | 2022 | 8 | |
| 7 | 2012 | 3 |
About Ickwon Choi
Ickwon Choi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Virology, Immunology and Epidemiology, having authored 7 papers that have together received 531 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), HIV Research and Treatment (2 papers), Glycosylation and Glycoproteins Research (1 paper), Gene expression and cancer classification (1 paper), T-cell and B-cell Immunology (1 paper), Statistical Methods in Clinical Trials (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Virology (138 citations), Immunology (260 citations), Radiology, Nuclear Medicine and Imaging (254 citations), Infectious Diseases (68 citations) and Molecular Biology (206 citations). Ickwon Choi has collaborated with scholars based in United States, Thailand and South Korea. Frequent co-authors include Chris Bailey‐Kellogg, Galit Alter, Margaret E. Ackerman, Anne‐Sophie Dugast, Anna F. Licht, Max Crispin, David J. Harvey, Chris Scanlan, Altan Ercan and Austin W. Boesch. Their work appears in journals such as Artificial Cells Nanomedicine and Biotechnology, Journal of Virology, Journal of Biomedical Informatics, Journal of Clinical Investigation and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.