Jason C. Huang
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology 7
- SARS-CoV-2 and COVID-19 Research 5
- Immunology top 10%
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 4
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 8
- Virology top 10%
- Modeling and Simulation top 10%
-
- Influenza Virus Research Studies 6
-
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Sheng‐Fan WangYi‐Ming Arthur ChenKuan-Hsuan ChenChing-Han TsaoYu‐Jiun ChanFu‐Tong LiuWu-Tse LiuChia‐Hung Yen
- Journals
- The Journal of Immunology (1 paper)Biochemical and Biophysical Research Communications (3 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- TaiwanUnited StatesHungary
In The Last Decade
Jason C. Huang
44 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Infectious Diseases 593
- Immunology 263
- Animal Science and Zoology 109
- Virology 48
- Modeling and Simulation 32
Countries citing papers authored by Jason C. Huang
This map shows the geographic impact of Jason C. Huang'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 Jason C. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason C. Huang more than expected).
Fields of papers citing papers by Jason C. Huang
This network shows the impact of papers produced by Jason C. Huang. 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 Jason C. Huang. The network helps show where Jason C. Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason C. Huang, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2016 | 7 | |
| 7 | 2014 | 8 | |
| 8 | 2014 | 7 | |
| 9 | Antibody-dependent SARS coronavirus infection is mediated by antibodies against spike proteinsbreakdown → | 2014 | 282 |
| 10 | 2011 | 98 | |
| 11 | 2011 | 7 | |
| 12 | 2010 | 3 | |
| 13 | 2009 | 113 | |
| 14 | 2009 | 16 | |
| 15 | 2008 | 12 | |
| 16 | 2008 | 39 | |
| 17 | 2008 | 71 | |
| 18 | 2006 | 40 | |
| 19 | 2004 | 11 | |
| 20 | 2003 | 14 |
About Jason C. Huang
Jason C. Huang is a scholar working on Infectious Diseases, Animal Science and Zoology and Virology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Viral gastroenteritis research and epidemiology (7 papers), T-cell and B-cell Immunology (7 papers), Influenza Virus Research Studies (6 papers), Immune Cell Function and Interaction (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Immunotherapy and Immune Responses (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Infectious Diseases (593 citations), Immunology (263 citations) and Animal Science and Zoology (109 citations). Jason C. Huang has collaborated with scholars based in Taiwan, United States and Hungary. Frequent co-authors include Sheng‐Fan Wang, Yi‐Ming Arthur Chen, Kuan-Hsuan Chen, Ching-Han Tsao, Yu‐Jiun Chan, Fu‐Tong Liu, Wu-Tse Liu, Chia‐Hung Yen, Sung‐Pin Tseng and Jyh-Yuan Yang. Their work appears in journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications and Journal of Pharmacology and Experimental Therapeutics.
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.