Christopher Z. Lien
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
-
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 detection and testing 4
- Viral gastroenteritis research and epidemiology 2
-
- Animal Virus Infections Studies 3
- Co-authors
- Tony T. Wang (10 shared papers)Prabhuanand Selvaraj (8 shared papers)Charles B. Stauft (7 shared papers)Shufeng Liu (6 shared papers)Ivette A. Nuñez (4 shared papers)Matthew F. Starost (5 shared papers)Chi‐Chen Lin (2 shared papers)Shih‐Chao Lin (2 shared papers)
- Journals
- Nature Communications (2 papers)Immunopharmacology and Immunotoxicology (1 paper)The Lancet Microbe (1 paper)Life Science Alliance (1 paper)mSphere (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Christopher Z. Lien
12 papers receiving 187 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 131
- Modeling and Simulation 15
- Animal Science and Zoology 28
- Neurology 22
- Pharmacology 11
Countries citing papers authored by Christopher Z. Lien
This map shows the geographic impact of Christopher Z. Lien'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 Christopher Z. Lien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Z. Lien more than expected).
Fields of papers citing papers by Christopher Z. Lien
This network shows the impact of papers produced by Christopher Z. Lien. 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 Christopher Z. Lien. The network helps show where Christopher Z. Lien may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Z. Lien, 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 | 35 | |
| 2 | 2018 | 33 | |
| 3 | 2021 | 20 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2020 | 1 |
About Christopher Z. Lien
Christopher Z. Lien is a scholar working on Infectious Diseases, Animal Science and Zoology, Molecular Biology, Critical Care and Intensive Care Medicine and Health, having authored 12 papers that have together received 192 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 detection and testing (4 papers), Animal Virus Infections Studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Long-Term Effects of COVID-19 (1 paper), Allergic Rhinitis and Sensitization (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Infectious Diseases (131 citations), Modeling and Simulation (15 citations), Animal Science and Zoology (28 citations), Neurology (22 citations) and Pharmacology (11 citations). Christopher Z. Lien has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Tony T. Wang, Prabhuanand Selvaraj, Charles B. Stauft, Shufeng Liu, Ivette A. Nuñez, Matthew F. Starost, Chi‐Chen Lin, Shih‐Chao Lin, Caitlin W. Lehman and Sen‐Wei Tsai. Their work appears in journals such as Nature Communications, Immunopharmacology and Immunotoxicology, The Lancet Microbe, Life Science Alliance and mSphere.
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.