Chih-Wei Lin
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Hepatitis C virus research 5
-
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Jens Kort (4 shared papers)Federico Mensa (4 shared papers)Fred Poordad (3 shared papers)Stanley Wang (3 shared papers)Nicholas C. Wu (3 shared papers)Richard A. Lerner (3 shared papers)Tarek Hassanein (3 shared papers)Paul Y. Kwo (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Poultry Science (1 paper)Clinical Infectious Diseases (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Chih-Wei Lin
11 papers receiving 399 citations
Peers
Comparison fields: 5 of 45
- Hepatology 238
- Epidemiology 214
- Infectious Diseases 91
- Radiology, Nuclear Medicine and Imaging 50
- Transplantation 5
Countries citing papers authored by Chih-Wei Lin
This map shows the geographic impact of Chih-Wei Lin'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 Chih-Wei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih-Wei Lin more than expected).
Fields of papers citing papers by Chih-Wei Lin
This network shows the impact of papers produced by Chih-Wei Lin. 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 Chih-Wei Lin. The network helps show where Chih-Wei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chih-Wei Lin, 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 | 2017 | 99 | |
| 2 | 2016 | 73 | |
| 3 | 2018 | 54 | |
| 4 | 2019 | 44 | |
| 5 | 2015 | 40 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 17 | |
| 9 | 2019 | 14 | |
| 10 | 2018 | 4 | |
| 11 | 2015 | 3 |
About Chih-Wei Lin
Chih-Wei Lin is a scholar working on Hepatology, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 11 papers that have together received 406 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Influenza Virus Research Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Click Chemistry and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Immunotherapy and Immune Responses (1 paper), Hepatitis B Virus Studies (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Hepatology (238 citations), Epidemiology (214 citations), Infectious Diseases (91 citations), Radiology, Nuclear Medicine and Imaging (50 citations) and Transplantation (5 citations). Chih-Wei Lin has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Jens Kort, Federico Mensa, Fred Poordad, Stanley Wang, Nicholas C. Wu, Richard A. Lerner, Tarek Hassanein, Paul Y. Kwo, Sandra Lovell and David Wyles. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Poultry Science, Clinical Infectious Diseases and Hepatology.
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.