Yi-Chan Lin
Impact in
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 detection and testing 6
-
- Herpesvirus Infections and Treatments 5
- Co-authors
- David H. Evans (20 shared papers)Hinrich Staecker (6 shared papers)Andrew N. Spencer (4 shared papers)Patricia M. Kluding (3 shared papers)Linda D’Silva (3 shared papers)Susan L. Whitney (2 shared papers)Thomas I.S. Hwang (1 shared paper)Ryan S. Noyce (7 shared papers)
- Journals
- Scientific Reports (2 papers)Transfusion (2 papers)Microbiology Spectrum (2 papers)Journal of Experimental Biology (2 papers)Antimicrobial Resistance and Infection Control (2 papers)
- Partner nations
- CanadaUnited StatesTaiwan
In The Last Decade
Yi-Chan Lin
46 papers receiving 705 citations
Peers
Comparison fields: 5 of 106
- Virology 104
- Neurology 146
- Sensory Systems 64
- Physical Therapy, Sports Therapy and Rehabilitation 42
- Infectious Diseases 127
Countries citing papers authored by Yi-Chan Lin
This map shows the geographic impact of Yi-Chan 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 Yi-Chan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Chan Lin more than expected).
Fields of papers citing papers by Yi-Chan Lin
This network shows the impact of papers produced by Yi-Chan 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 Yi-Chan Lin. The network helps show where Yi-Chan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi-Chan 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 83 | |
| 2 | 2015 | 49 | |
| 3 | 2008 | 48 | |
| 4 | 2017 | 42 | |
| 5 | 2022 | 41 | |
| 6 | 2020 | 34 | |
| 7 | 2022 | 32 | |
| 8 | 2009 | 28 | |
| 9 | 2022 | 27 | |
| 10 | 2008 | 27 | |
| 11 | 2016 | 24 | |
| 12 | 2016 | 24 | |
| 13 | 2001 | 23 | |
| 14 | 2013 | 22 | |
| 15 | 2023 | 19 | |
| 16 | 2000 | 16 | |
| 17 | 2001 | 16 | |
| 18 | 2001 | 14 | |
| 19 | 2024 | 12 | |
| 20 | 2006 | 12 |
About Yi-Chan Lin
Yi-Chan Lin is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine and Virology, having authored 48 papers that have together received 715 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 detection and testing (6 papers), Poxvirus research and outbreaks (6 papers), Herpesvirus Infections and Treatments (5 papers), Vestibular and auditory disorders (5 papers), Plant Virus Research Studies (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Virology (104 citations), Neurology (146 citations), Sensory Systems (64 citations), Physical Therapy, Sports Therapy and Rehabilitation (42 citations) and Infectious Diseases (127 citations). Yi-Chan Lin has collaborated with scholars based in Canada, United States and Taiwan. Frequent co-authors include David H. Evans, Hinrich Staecker, Andrew N. Spencer, Patricia M. Kluding, Linda D’Silva, Susan L. Whitney, Thomas I.S. Hwang, Ryan S. Noyce, Kevin J. Sykes and John Conly. Their work appears in journals such as Scientific Reports, Transfusion, Microbiology Spectrum, Journal of Experimental Biology and Antimicrobial Resistance and Infection Control.
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.