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 ⓘ
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- Genomics, phytochemicals, and oxidative stress 1
- Bioinformatics and Genomic Networks 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Chris Bailey‐Kellogg (4 shared papers)Margaret E. Ackerman (4 shared papers)Galit Alter (4 shared papers)Anne‐Sophie Dugast (2 shared papers)Anna F. Licht (2 shared papers)Altan Ercan (1 shared paper)Max Crispin (1 shared paper)David J. Harvey (1 shared paper)
- Journals
- Journal of Clinical Investigation (1 paper)Artificial Cells Nanomedicine and Biotechnology (1 paper)PLoS Computational Biology (1 paper)Journal of Immunological Methods (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesSouth KoreaThailand
In The Last Decade
Ickwon Choi
7 papers receiving 509 citations
Peers
Comparison fields: 5 of 66
- Virology 156
- Immunology 292
- Radiology, Nuclear Medicine and Imaging 270
- Infectious Diseases 66
- Molecular Biology 216
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 | 279 | |
| 2 | 2012 | 124 | |
| 3 | 2011 | 34 | |
| 4 | 2013 | 34 | |
| 5 | 2015 | 32 | |
| 6 | 2022 | 7 | |
| 7 | 2012 | 3 |
About Ickwon Choi
Ickwon Choi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Virology and Epidemiology, having authored 7 papers that have together received 513 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), HIV Research and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), T-cell and B-cell Immunology (2 papers), Statistical Methods and Bayesian Inference (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper), Bioinformatics and Genomic Networks (1 paper) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Virology (156 citations), Immunology (292 citations), Radiology, Nuclear Medicine and Imaging (270 citations), Infectious Diseases (66 citations) and Molecular Biology (216 citations). Ickwon Choi has collaborated with scholars based in United States, South Korea and Thailand. Frequent co-authors include Chris Bailey‐Kellogg, Margaret E. Ackerman, Galit Alter, Anne‐Sophie Dugast, Anna F. Licht, Altan Ercan, Max Crispin, David J. Harvey, Hendrik Streeck and Peter A. Nigrović. Their work appears in journals such as Journal of Clinical Investigation, Artificial Cells Nanomedicine and Biotechnology, PLoS Computational Biology, Journal of Immunological Methods 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.