Pei‐Lain Chen
Impact in
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- Polyomavirus and related diseases
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- Electrospun Nanofibers in Biomedical Applications
Papers in
- Oncology 21
- Polyomavirus and related diseases 21
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- RNA Interference and Gene Delivery 5
- Co-authors
- Deching Chang (20 shared papers)Meilin Wang (20 shared papers)Chiung‐Yao Fang (16 shared papers)Cheng‐Huang Shen (16 shared papers)Chiung-Hua Huang (2 shared papers)Chi-Fang Chang (6 shared papers)Chun‐Hsu Yao (1 shared paper)Kuo‐Yu Chen (1 shared paper)
- Journals
- Cancer Gene Therapy (2 papers)Virology (2 papers)Human Gene Therapy (2 papers)Virus Genes (2 papers)Expert Opinion on Biological Therapy (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Pei‐Lain Chen
27 papers receiving 378 citations
Peers
Comparison fields: 5 of 60
- Oncology 164
- Biomaterials 54
- Ecology 67
- Genetics 66
- Infectious Diseases 36
Countries citing papers authored by Pei‐Lain Chen
This map shows the geographic impact of Pei‐Lain Chen'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 Pei‐Lain Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Lain Chen more than expected).
Fields of papers citing papers by Pei‐Lain Chen
This network shows the impact of papers produced by Pei‐Lain Chen. 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 Pei‐Lain Chen. The network helps show where Pei‐Lain Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Lain Chen, 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 | 2012 | 46 | |
| 2 | 2001 | 44 | |
| 3 | 2018 | 37 | |
| 4 | 2010 | 31 | |
| 5 | 2019 | 22 | |
| 6 | 2016 | 22 | |
| 7 | 2011 | 22 | |
| 8 | 2004 | 20 | |
| 9 | 2012 | 18 | |
| 10 | 2014 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2015 | 12 | |
| 13 | 2013 | 12 | |
| 14 | 2015 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2011 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2017 | 5 |
About Pei‐Lain Chen
Pei‐Lain Chen is a scholar working on Oncology, Molecular Biology, Electrical and Electronic Engineering, Physiology and Genetics, having authored 27 papers that have together received 380 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (21 papers), RNA Interference and Gene Delivery (5 papers), Full-Duplex Wireless Communications (4 papers), Antenna Design and Analysis (3 papers), Energy Harvesting in Wireless Networks (3 papers), Plant Virus Research Studies (3 papers), Virus-based gene therapy research (3 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Oncology (164 citations), Biomaterials (54 citations), Ecology (67 citations), Genetics (66 citations) and Infectious Diseases (36 citations). Pei‐Lain Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Deching Chang, Meilin Wang, Chiung‐Yao Fang, Cheng‐Huang Shen, Chiung-Hua Huang, Chi-Fang Chang, Chun‐Hsu Yao, Kuo‐Yu Chen, Yueh-Sheng Chen and Chong‐Kuei Lii. Their work appears in journals such as Cancer Gene Therapy, Virology, Human Gene Therapy, Virus Genes and Expert Opinion on Biological Therapy.
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.