Chao‐Nan Lin
Impact in
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Parvovirus B19 Infection Studies
- Viral Infections and Vectors
Papers in
-
- Animal Virus Infections Studies 44
-
- Viral gastroenteritis research and epidemiology 28
- Viral Infections and Vectors 3
- Co-authors
- Ming‐Tang Chiou (44 shared papers)Bi-Ling Su (9 shared papers)Hung‐Yi Wu (6 shared papers)Chi‐Hsien Chien (6 shared papers)Chuen‐Fu Lin (16 shared papers)Ling-Ling Chueh (3 shared papers)Shu‐Wei Chang (3 shared papers)Hung‐Jen Liu (2 shared papers)
In The Last Decade
Chao‐Nan Lin
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Animal Science and Zoology 725
- Infectious Diseases 636
- Genetics 542
- Microbiology 64
- Parasitology 49
Countries citing papers authored by Chao‐Nan Lin
This map shows the geographic impact of Chao‐Nan 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 Chao‐Nan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Nan Lin more than expected).
Fields of papers citing papers by Chao‐Nan Lin
This network shows the impact of papers produced by Chao‐Nan 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 Chao‐Nan Lin. The network helps show where Chao‐Nan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao‐Nan 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 97 | |
| 2 | 2014 | 94 | |
| 3 | 2010 | 58 | |
| 4 | 2011 | 54 | |
| 5 | 2016 | 53 | |
| 6 | 2016 | 50 | |
| 7 | 2008 | 41 | |
| 8 | 2019 | 37 | |
| 9 | 2014 | 36 | |
| 10 | 2008 | 34 | |
| 11 | 2011 | 32 | |
| 12 | 2020 | 30 | |
| 13 | 2019 | 28 | |
| 14 | 2021 | 27 | |
| 15 | 2014 | 26 | |
| 16 | 2012 | 25 | |
| 17 | 2019 | 24 | |
| 18 | 2017 | 24 | |
| 19 | 2020 | 24 | |
| 20 | 2019 | 23 |
About Chao‐Nan Lin
Chao‐Nan Lin is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Microbiology and Epidemiology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (44 papers), Virus-based gene therapy research (34 papers), Viral gastroenteritis research and epidemiology (28 papers), Microbial infections and disease research (7 papers), Viral Infections and Immunology Research (5 papers), Herpesvirus Infections and Treatments (3 papers), Vector-borne infectious diseases (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Animal Science and Zoology (725 citations), Infectious Diseases (636 citations), Genetics (542 citations), Microbiology (64 citations) and Parasitology (49 citations). Chao‐Nan Lin has collaborated with scholars based in Taiwan, Vietnam and Singapore. Frequent co-authors include Ming‐Tang Chiou, Bi-Ling Su, Hung‐Yi Wu, Chi‐Hsien Chien, Chuen‐Fu Lin, Ling-Ling Chueh, Shu‐Wei Chang, Hung‐Jen Liu, Cheng‐Yao Yang and Hoàng Văn Minh. Their work appears in journals such as BMC Veterinary Research, Vaccines, Viruses, Virology Journal and PeerJ.
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.