Chia-Ming Su
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Animal Virus Infections Studies 8
-
- Viral gastroenteritis research and epidemiology 5
- COVID-19 Clinical Research Studies 2
- Co-authors
- Dongwan Yoo (7 shared papers)Leyi Wang (2 shared papers)Raymond R. R. Rowland (2 shared papers)Shuen‐Ei Chen (2 shared papers)San‐Yuan Huang (2 shared papers)Rosemary L. Walzem (2 shared papers)Yuhui Chen (1 shared paper)Yu‐Hui Chen (1 shared paper)
- Journals
- Virus Research (2 papers)Journal of General Virology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Biology of Reproduction (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Chia-Ming Su
11 papers receiving 349 citations
Peers
Comparison fields: 5 of 61
- Animal Science and Zoology 169
- Infectious Diseases 195
- Drug Discovery 1
- Genetics 92
- Immunology 52
Countries citing papers authored by Chia-Ming Su
This map shows the geographic impact of Chia-Ming Su'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 Chia-Ming Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Ming Su more than expected).
Fields of papers citing papers by Chia-Ming Su
This network shows the impact of papers produced by Chia-Ming Su. 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 Chia-Ming Su. The network helps show where Chia-Ming Su may publish in the future.
Co-authors
The 20 scholars most cited alongside Chia-Ming Su, 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 | 2021 | 166 | |
| 2 | 2020 | 104 | |
| 3 | 2021 | 33 | |
| 4 | 2014 | 17 | |
| 5 | 2024 | 7 | |
| 6 | 2016 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2025 | 6 | |
| 9 | 2025 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2020 | 1 |
About Chia-Ming Su
Chia-Ming Su is a scholar working on Animal Science and Zoology, Infectious Diseases, Agronomy and Crop Science, Immunology and Reproductive Medicine, having authored 11 papers that have together received 351 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Viral gastroenteritis research and epidemiology (5 papers), interferon and immune responses (3 papers), Animal Disease Management and Epidemiology (3 papers), Virus-based gene therapy research (3 papers), Reproductive Physiology in Livestock (2 papers), COVID-19 Clinical Research Studies (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Animal Science and Zoology (169 citations), Infectious Diseases (195 citations), Drug Discovery (1 citation), Genetics (92 citations) and Immunology (52 citations). Chia-Ming Su has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Dongwan Yoo, Leyi Wang, Raymond R. R. Rowland, Shuen‐Ei Chen, San‐Yuan Huang, Rosemary L. Walzem, Yuhui Chen, Yu‐Hui Chen, Federico A. Zuckermann and Yijun Du. Their work appears in journals such as Virus Research, Journal of General Virology, Proceedings of the National Academy of Sciences, Biology of Reproduction and PLoS Pathogens.
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.