Ching‐Lin Shyu
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
-
- Genomics and Phylogenetic Studies 4
-
- Antimicrobial Peptides and Activities 4
- Microbial infections and disease research 2
- Co-authors
- Chao‐Ming Wang (6 shared papers)Zong‐Yen Wu (5 shared papers)Yun‐Lian Jhan (1 shared paper)Chang‐Hung Chou (1 shared paper)Wu‐Chun Tu (5 shared papers)Shu-Peng Ho (4 shared papers)Kwong‐Chung Tung (6 shared papers)Ren‐Jye Lee (2 shared papers)
- Journals
- Veterinary Microbiology (2 papers)Peptides (2 papers)Veterinary Dermatology (1 paper)International Journal of Infectious Diseases (1 paper)Research in Veterinary Science (1 paper)
- Partner nations
- TaiwanUnited StatesIndonesia
In The Last Decade
Ching‐Lin Shyu
27 papers receiving 520 citations
Peers
Comparison fields: 5 of 88
- Microbiology 83
- Endocrinology 38
- Molecular Medicine 35
- Food Science 110
- Immunology 80
Countries citing papers authored by Ching‐Lin Shyu
This map shows the geographic impact of Ching‐Lin Shyu'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 Ching‐Lin Shyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Lin Shyu more than expected).
Fields of papers citing papers by Ching‐Lin Shyu
This network shows the impact of papers produced by Ching‐Lin Shyu. 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 Ching‐Lin Shyu. The network helps show where Ching‐Lin Shyu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Lin Shyu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 82 | |
| 2 | 2010 | 48 | |
| 3 | 2013 | 42 | |
| 4 | 2010 | 38 | |
| 5 | 2011 | 38 | |
| 6 | 2007 | 32 | |
| 7 | 2011 | 30 | |
| 8 | 2011 | 28 | |
| 9 | 2013 | 22 | |
| 10 | 2012 | 21 | |
| 11 | 2010 | 17 | |
| 12 | 2011 | 15 | |
| 13 | 2014 | 15 | |
| 14 | 2013 | 13 | |
| 15 | 2012 | 12 | |
| 16 | 2012 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2011 | 11 | |
| 19 | 2015 | 7 | |
| 20 | 2016 | 6 |
About Ching‐Lin Shyu
Ching‐Lin Shyu is a scholar working on Molecular Biology, Microbiology, Food Science, Infectious Diseases and Small Animals, having authored 27 papers that have together received 533 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (4 papers), Genomics and Phylogenetic Studies (4 papers), Venomous Animal Envenomation and Studies (3 papers), Aquaculture disease management and microbiota (3 papers), Streptococcal Infections and Treatments (2 papers), Microbial infections and disease research (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Microbiology (83 citations), Endocrinology (38 citations), Molecular Medicine (35 citations), Food Science (110 citations) and Immunology (80 citations). Ching‐Lin Shyu has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Chao‐Ming Wang, Zong‐Yen Wu, Yun‐Lian Jhan, Chang‐Hung Chou, Wu‐Chun Tu, Shu-Peng Ho, Kwong‐Chung Tung, Ren‐Jye Lee, Chao‐Chin Chang and Chi‐Chung Chou. Their work appears in journals such as Veterinary Microbiology, Peptides, Veterinary Dermatology, International Journal of Infectious Diseases and Research in Veterinary Science.
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.