Pin Ling
Impact in
- Immunology top 10%
- interferon and immune responses
Papers in
- Immunology 10
- interferon and immune responses 5
- Immune Response and Inflammation 3
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- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Vectors 3
- Co-authors
- Shun‐Hua Chen (7 shared papers)Ming-Derg Lai (2 shared papers)Te‐Jung Lu (4 shared papers)Tse‐Hua Tan (6 shared papers)Chiun-Jye Yuan (1 shared paper)Shao‐Chun Wang (1 shared paper)Mohamed Ali‐Seyed (1 shared paper)Mien‐Chie Hung (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Biomedical Science (4 papers)Molecular and Cellular Biology (2 papers)Viruses (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Pin Ling
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Immunology 262
- Molecular Biology 604
- Infectious Diseases 158
- Oncology 216
- Cell Biology 132
Countries citing papers authored by Pin Ling
This map shows the geographic impact of Pin Ling'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 Pin Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Ling more than expected).
Fields of papers citing papers by Pin Ling
This network shows the impact of papers produced by Pin Ling. 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 Pin Ling. The network helps show where Pin Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin Ling, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 200 | |
| 2 | 2008 | 126 | |
| 3 | 2008 | 115 | |
| 4 | 2008 | 85 | |
| 5 | 2012 | 78 | |
| 6 | 1999 | 77 | |
| 7 | 2001 | 77 | |
| 8 | 2001 | 50 | |
| 9 | 2014 | 48 | |
| 10 | 2015 | 40 | |
| 11 | 2010 | 28 | |
| 12 | 2019 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2012 | 24 | |
| 15 | 2019 | 24 | |
| 16 | 2012 | 24 | |
| 17 | 2000 | 20 | |
| 18 | 2021 | 20 | |
| 19 | 2011 | 20 | |
| 20 | 2018 | 16 |
About Pin Ling
Pin Ling is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (5 papers), interferon and immune responses (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Vectors (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Autism Spectrum Disorder Research (3 papers), Immune Response and Inflammation (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Immunology (262 citations), Molecular Biology (604 citations), Infectious Diseases (158 citations), Oncology (216 citations) and Cell Biology (132 citations). Pin Ling has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Shun‐Hua Chen, Ming-Derg Lai, Te‐Jung Lu, Tse‐Hua Tan, Chiun-Jye Yuan, Shao‐Chun Wang, Mohamed Ali‐Seyed, Mien‐Chie Hung, Dipak Kumar Giri and Long‐Yuan Li. Their work appears in journals such as Journal of Biological Chemistry, Journal of Biomedical Science, Molecular and Cellular Biology, Viruses and Biochemical and Biophysical Research Communications.
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.