Hsin-Ping Chiu
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- SARS-CoV-2 detection and testing
-
- interferon and immune responses
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- Viral Infections and Outbreaks Research 1
- COVID-19 Clinical Research Studies 1
- SARS-CoV-2 detection and testing 1
-
- interferon and immune responses 3
- Co-authors
- Ren-Jye Lin (3 shared papers)Yi‐Ling Lin (2 shared papers)Yi-Ling Lee (1 shared paper)Chao‐Fu Yang (1 shared paper)Feng‐Lan Chiu (1 shared paper)Hung‐Chih Kuo (1 shared paper)Hsin‐Yi Chang (1 shared paper)Han‐Wen Liu (1 shared paper)
- Journals
- Journal of Virology (2 papers)Nucleic Acids Research (1 paper)Nature Communications (1 paper)The Journals of Gerontology Series A (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Hsin-Ping Chiu
7 papers receiving 273 citations
Peers
Comparison fields: 5 of 62
- Infectious Diseases 140
- Immunology 61
- Health 22
- Virology 10
- Modeling and Simulation 9
Countries citing papers authored by Hsin-Ping Chiu
This map shows the geographic impact of Hsin-Ping Chiu'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 Hsin-Ping Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Ping Chiu more than expected).
Fields of papers citing papers by Hsin-Ping Chiu
This network shows the impact of papers produced by Hsin-Ping Chiu. 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 Hsin-Ping Chiu. The network helps show where Hsin-Ping Chiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin-Ping Chiu, 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 | 82 | |
| 2 | 2018 | 79 | |
| 3 | 2000 | 40 | |
| 4 | 2012 | 32 | |
| 5 | 2021 | 27 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 7 |
About Hsin-Ping Chiu
Hsin-Ping Chiu is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Endocrine and Autonomic Systems and Animal Science and Zoology, having authored 7 papers that have together received 285 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), RNA modifications and cancer (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (1 paper), Animal Virus Infections Studies (1 paper), Viral Infections and Outbreaks Research (1 paper), COVID-19 Clinical Research Studies (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Infectious Diseases (140 citations), Immunology (61 citations), Health (22 citations), Virology (10 citations) and Modeling and Simulation (9 citations). Hsin-Ping Chiu has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Ren-Jye Lin, Yi‐Ling Lin, Yi-Ling Lee, Chao‐Fu Yang, Feng‐Lan Chiu, Hung‐Chih Kuo, Hsin‐Yi Chang, Han‐Wen Liu, Lih‐Wen Mau and Benhur Lee. Their work appears in journals such as Journal of Virology, Nucleic Acids Research, Nature Communications, The Journals of Gerontology Series A and Frontiers in Immunology.
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.