Ching-Kai Chuang
Impact in
- Endocrinology top 10%
- Plant and Fungal Interactions Research
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
-
- Mosquito-borne diseases and control 8
-
- Plant Virus Research Studies 8
- Co-authors
- Peter D. Nagy (6 shared papers)Wei‐June Chen (8 shared papers)K. Reddisiva Prasanth (3 shared papers)Chao‐Fu Yang (3 shared papers)Daniel Barajas (1 shared paper)Jun Qin (1 shared paper)Yu‐Tzu Shih (2 shared papers)Ping Tang (1 shared paper)
- Journals
- Virology (4 papers)PLoS Pathogens (3 papers)Journal of Clinical Virology (1 paper)Virus Research (1 paper)BioMed Research International (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Ching-Kai Chuang
14 papers receiving 389 citations
Peers
Comparison fields: 5 of 51
- Endocrinology 37
- Infectious Diseases 128
- Insect Science 79
- Public Health, Environmental and Occupational Health 154
- Plant Science 169
Countries citing papers authored by Ching-Kai Chuang
This map shows the geographic impact of Ching-Kai Chuang'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 Ching-Kai Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Kai Chuang more than expected).
Fields of papers citing papers by Ching-Kai Chuang
This network shows the impact of papers produced by Ching-Kai Chuang. 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 Ching-Kai Chuang. The network helps show where Ching-Kai Chuang may publish in the future.
Co-authors
The 16 scholars most cited alongside Ching-Kai Chuang, 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 | 2011 | 61 | |
| 2 | 2017 | 51 | |
| 3 | 2014 | 50 | |
| 4 | 2014 | 46 | |
| 5 | 2017 | 29 | |
| 6 | 2015 | 28 | |
| 7 | 2009 | 26 | |
| 8 | 2006 | 25 | |
| 9 | 2009 | 24 | |
| 10 | 2015 | 19 | |
| 11 | 2011 | 16 | |
| 12 | 2021 | 11 | |
| 13 | 2003 | 6 | |
| 14 | 2014 | 1 |
About Ching-Kai Chuang
Ching-Kai Chuang is a scholar working on Public Health, Environmental and Occupational Health, Plant Science, Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 393 indexed citations. Recurring topics across this work include Plant Virus Research Studies (8 papers), Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (6 papers), CRISPR and Genetic Engineering (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Viral Infections and Immunology Research (2 papers), HIV Research and Treatment (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Endocrinology (37 citations), Infectious Diseases (128 citations), Insect Science (79 citations), Public Health, Environmental and Occupational Health (154 citations) and Plant Science (169 citations). Ching-Kai Chuang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Peter D. Nagy, Wei‐June Chen, K. Reddisiva Prasanth, Chao‐Fu Yang, Daniel Barajas, Jun Qin, Yu‐Tzu Shih, Ping Tang, Yi Liu and Yoshiyuki Imura. Their work appears in journals such as Virology, PLoS Pathogens, Journal of Clinical Virology, Virus Research and BioMed Research International.
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.