Chan-Shing Lin
Impact in
- Immunology top 10%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 2
- Ecology 8
- Bacteriophages and microbial interactions 7
- Co-authors
- Chi‐Hsin Hsu (9 shared papers)Zhi‐Hong Wen (8 shared papers)Wangta Liu (7 shared papers)Chiranjib Chakraborty (7 shared papers)Neel K. Krishna (2 shared papers)John E. Johnson (2 shared papers)Anette Schneemann (2 shared papers)Ming–Wei Lu (3 shared papers)
- Journals
- BMC Genomics (2 papers)Archives of Virology (2 papers)Journal of General Virology (2 papers)Journal of Virology (1 paper)Applied Biochemistry and Biotechnology (1 paper)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Chan-Shing Lin
22 papers receiving 754 citations
Peers
Comparison fields: 5 of 98
- Immunology 301
- Animal Science and Zoology 145
- Biotechnology 115
- Aquatic Science 84
- Ecology 196
Countries citing papers authored by Chan-Shing Lin
This map shows the geographic impact of Chan-Shing 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 Chan-Shing Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan-Shing Lin more than expected).
Fields of papers citing papers by Chan-Shing Lin
This network shows the impact of papers produced by Chan-Shing 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 Chan-Shing Lin. The network helps show where Chan-Shing Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan-Shing 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 120 | |
| 2 | 2006 | 95 | |
| 3 | 2007 | 94 | |
| 4 | 2002 | 80 | |
| 5 | 2001 | 63 | |
| 6 | 2005 | 45 | |
| 7 | 2003 | 36 | |
| 8 | 2009 | 35 | |
| 9 | 2012 | 29 | |
| 10 | 2008 | 28 | |
| 11 | 2017 | 27 | |
| 12 | 2016 | 22 | |
| 13 | 2009 | 22 | |
| 14 | 2012 | 17 | |
| 15 | 1995 | 13 | |
| 16 | 1998 | 13 | |
| 17 | 2014 | 11 | |
| 18 | 2012 | 6 | |
| 19 | 2010 | 4 | |
| 20 | 2014 | 2 |
About Chan-Shing Lin
Chan-Shing Lin is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Immunology and Genetics, having authored 22 papers that have together received 764 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (7 papers), Aquaculture disease management and microbiota (4 papers), Marine Sponges and Natural Products (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Vectors (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Immunology (301 citations), Animal Science and Zoology (145 citations), Biotechnology (115 citations), Aquatic Science (84 citations) and Ecology (196 citations). Chan-Shing Lin has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Chi‐Hsin Hsu, Zhi‐Hong Wen, Wangta Liu, Chiranjib Chakraborty, Neel K. Krishna, John E. Johnson, Anette Schneemann, Ming–Wei Lu, Yen‐Hsuan Jean and I‐Ming Chen. Their work appears in journals such as BMC Genomics, Archives of Virology, Journal of General Virology, Journal of Virology and Applied Biochemistry and Biotechnology.
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.