Young Hun Chung
- Molecular Biology
- Infectious Diseases top 5%
- Immunology top 10%
- Biomedical Engineering
- Ecology top 10%
- Co-authors
- Nicole F. SteinmetzVeronique BeissHui CaiSteven FieringSourabh ShuklaJonathan K. PokorskiOscar A. Ortega‐RiveraM. Sack
- Topics
- Viral gastroenteritis research and epidemiology (7 papers)Bacteriophages and microbial interactions (6 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- United StatesSouth KoreaSouth Africa
In The Last Decade
Young Hun Chung
21 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 527
- Infectious Diseases 485
- Immunology 239
- Biomedical Engineering 213
- Ecology 181
Countries citing papers authored by Young Hun Chung
This map shows the geographic impact of Young Hun Chung'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 Young Hun Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Hun Chung more than expected).
Fields of papers citing papers by Young Hun Chung
This network shows the impact of papers produced by Young Hun Chung. 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 Young Hun Chung. The network helps show where Young Hun Chung may publish in the future.
Co-authorship network of co-authors of Young Hun Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Young Hun Chung. A scholar is included among the top collaborators of Young Hun Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Young Hun Chung. Young Hun Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 18 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 104 | |
| 15 | 33 | |
| 16 | COVID-19 vaccine development and a potential nanomaterial path forwardbreakdown → | 492 |
| 17 | Viral nanoparticles for drug delivery, imaging, immunotherapy, and theranostic applicationsbreakdown → | 293 |
| 18 | 3 | |
| 19 | Selective Gamma Globulin Treatment in Kawasaki Disease : The Comparison between Single 1g/kg and 2g/kg | 1 |
| 20 | The Normal Serum Total Cholesterol Level in Children | 2 |
About Young Hun Chung
Young Hun Chung is a scholar working on Infectious Diseases, Biotechnology and Animal Science and Zoology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), Bacteriophages and microbial interactions (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Infectious Diseases (485 citations), Biotechnology (155 citations) and Immunology (239 citations). Young Hun Chung has collaborated with scholars based in United States, South Korea and South Africa. Frequent co-authors include Nicole F. Steinmetz, Veronique Beiss, Hui Cai, Steven Fiering, Sourabh Shukla, Jonathan K. Pokorski, Oscar A. Ortega‐Rivera, M. Sack, Matthew D. Shin and David M. Wirth. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Nano.
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.