Shih‐Ching Lin
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- Clostridium difficile and Clostridium perfringens research
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 10
- Clostridium difficile and Clostridium perfringens research 2
-
- CRISPR and Genetic Engineering 2
- Co-authors
- Mary K. Estes (9 shared papers)Xi‐Lei Zeng (5 shared papers)Kei Haga (4 shared papers)Victoria R. Tenge (7 shared papers)Robert L. Atmar (7 shared papers)Umesh C. Karandikar (4 shared papers)B. Vijayalakshmi Ayyar (4 shared papers)Khalil Ettayebi (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Viruses (2 papers)Nature Communications (1 paper)Glycobiology (1 paper)mBio (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Shih‐Ching Lin
17 papers receiving 556 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 356
- Animal Science and Zoology 142
- Hepatology 43
- Genetics 145
- Endocrinology 22
Countries citing papers authored by Shih‐Ching Lin
This map shows the geographic impact of Shih‐Ching 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 Shih‐Ching Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Ching Lin more than expected).
Fields of papers citing papers by Shih‐Ching Lin
This network shows the impact of papers produced by Shih‐Ching 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 Shih‐Ching Lin. The network helps show where Shih‐Ching Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih‐Ching 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 | 2019 | 99 | |
| 2 | 2020 | 82 | |
| 3 | 2020 | 80 | |
| 4 | 2020 | 71 | |
| 5 | 2014 | 48 | |
| 6 | 2022 | 47 | |
| 7 | 1996 | 40 | |
| 8 | 2021 | 20 | |
| 9 | 2014 | 20 | |
| 10 | 2023 | 15 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2001 | 1 |
About Shih‐Ching Lin
Shih‐Ching Lin is a scholar working on Infectious Diseases, Molecular Biology, Nutrition and Dietetics, Genetics and Endocrinology, having authored 17 papers that have together received 561 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), Escherichia coli research studies (3 papers), Virus-based gene therapy research (3 papers), Hepatitis B Virus Studies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Neurobiology and Insect Physiology Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Clinical Nutrition and Gastroenterology (2 papers). The work is most often cited by research in Infectious Diseases (356 citations), Animal Science and Zoology (142 citations), Hepatology (43 citations), Genetics (145 citations) and Endocrinology (22 citations). Shih‐Ching Lin has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Mary K. Estes, Xi‐Lei Zeng, Kei Haga, Victoria R. Tenge, Robert L. Atmar, Umesh C. Karandikar, B. Vijayalakshmi Ayyar, Khalil Ettayebi, Sasirekha Ramani and Frederick H. Neill. Their work appears in journals such as Proceedings of the National Academy of Sciences, Viruses, Nature Communications, Glycobiology and mBio.
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.