Yan‐Ping Shih
Impact in
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- Protein purification and stability
- Viral Infectious Diseases and Gene Expression in Insects
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 5
- Protein purification and stability 2
- Lipid Membrane Structure and Behavior 2
- Ion channel regulation and function 1
- DNA and Nucleic Acid Chemistry 1
- Genetics 5
- Venomous Animal Envenomation and Studies 2
- Virus-based gene therapy research 2
- Co-authors
- Andrew H.‐J. Wang (4 shared papers)Ting‐Fang Wang (2 shared papers)Su‐Ming Hu (2 shared papers)Hui‐Chung Wu (1 shared paper)Po‐Huang Liang (3 shared papers)C.L. Ho (2 shared papers)Chun-Nan Hsu (1 shared paper)Wen‐chang Lin (1 shared paper)
- Journals
- Protein Science (2 papers)Biophysical Journal (2 papers)Biotechnology Progress (1 paper)BioTechniques (1 paper)Insect Biochemistry and Molecular Biology (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Yan‐Ping Shih
11 papers receiving 305 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 238
- Radiology, Nuclear Medicine and Imaging 61
- Immunology and Allergy 15
- Genetics 60
- Biotechnology 19
Countries citing papers authored by Yan‐Ping Shih
This map shows the geographic impact of Yan‐Ping Shih'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 Yan‐Ping Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Ping Shih more than expected).
Fields of papers citing papers by Yan‐Ping Shih
This network shows the impact of papers produced by Yan‐Ping Shih. 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 Yan‐Ping Shih. The network helps show where Yan‐Ping Shih may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan‐Ping Shih, 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 | 2002 | 139 | |
| 2 | 2005 | 48 | |
| 3 | 2010 | 31 | |
| 4 | 2014 | 26 | |
| 5 | 2015 | 17 | |
| 6 | 2001 | 15 | |
| 7 | 2009 | 14 | |
| 8 | 2019 | 12 | |
| 9 | 2018 | 9 | |
| 10 | 2019 | 2 | |
| 11 | 2009 | 2 |
About Yan‐Ping Shih
Yan‐Ping Shih is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Ecology and Oncology, having authored 11 papers that have together received 315 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Protein purification and stability (2 papers), Lipid Membrane Structure and Behavior (2 papers), Venomous Animal Envenomation and Studies (2 papers), Virus-based gene therapy research (2 papers), Ion channel regulation and function (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Molecular Biology (238 citations), Radiology, Nuclear Medicine and Imaging (61 citations), Immunology and Allergy (15 citations), Genetics (60 citations) and Biotechnology (19 citations). Yan‐Ping Shih has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Andrew H.‐J. Wang, Ting‐Fang Wang, Su‐Ming Hu, Hui‐Chung Wu, Po‐Huang Liang, C.L. Ho, Chun-Nan Hsu, Wen‐chang Lin, Yi‐Ling Chen and Chi‐Chi Chou. Their work appears in journals such as Protein Science, Biophysical Journal, Biotechnology Progress, BioTechniques and Insect Biochemistry and Molecular Biology.
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.