Show-Li Chen
Impact in
- Genetics top 10%
- Virus-based gene therapy research
-
- Immunotherapy and Immune Responses
Papers in
-
- RNA Interference and Gene Delivery 3
- Retinal Development and Disorders 2
- RNA and protein synthesis mechanisms 1
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- Yeou‐Ping Tsao (16 shared papers)Dai-Wei Liu (5 shared papers)Xiao Xiao (3 shared papers)Ru-Yu Pan (2 shared papers)Xiao Xiao (4 shared papers)Yu-An Ding (1 shared paper)Huey‐Kang Sytwu (1 shared paper)John T. Kung (1 shared paper)
- Journals
- Journal of Virology (4 papers)Investigative Ophthalmology & Visual Science (2 papers)Cancer Letters (1 paper)Biochemical and Biophysical Research Communications (1 paper)Neuroreport (1 paper)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Show-Li Chen
15 papers receiving 574 citations
Peers
Comparison fields: 5 of 53
- Genetics 207
- Immunology 145
- Oncology 152
- Epidemiology 127
- Molecular Biology 249
Countries citing papers authored by Show-Li Chen
This map shows the geographic impact of Show-Li 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 Show-Li Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Show-Li Chen more than expected).
Fields of papers citing papers by Show-Li Chen
This network shows the impact of papers produced by Show-Li 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 Show-Li Chen. The network helps show where Show-Li Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Show-Li 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
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 123 | |
| 2 | 2000 | 102 | |
| 3 | 1999 | 90 | |
| 4 | 1999 | 81 | |
| 5 | 1999 | 30 | |
| 6 | 2009 | 21 | |
| 7 | 2007 | 20 | |
| 8 | 2002 | 19 | |
| 9 | 1997 | 18 | |
| 10 | 2003 | 16 | |
| 11 | 2016 | 15 | |
| 12 | 2005 | 14 | |
| 13 | 2002 | 13 | |
| 14 | 2015 | 12 | |
| 15 | 2005 | 10 | |
| 16 | 2025 | 0 |
About Show-Li Chen
Show-Li Chen is a scholar working on Molecular Biology, Genetics, Epidemiology, Immunology and Oncology, having authored 16 papers that have together received 584 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Immunotherapy and Immune Responses (3 papers), RNA Interference and Gene Delivery (3 papers), Retinal Diseases and Treatments (2 papers), Retinal Development and Disorders (2 papers), Corneal Surgery and Treatments (2 papers), Cervical Cancer and HPV Research (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Genetics (207 citations), Immunology (145 citations), Oncology (152 citations), Epidemiology (127 citations) and Molecular Biology (249 citations). Show-Li Chen has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Yeou‐Ping Tsao, Dai-Wei Liu, Xiao Xiao, Ru-Yu Pan, Xiao Xiao, Yu-An Ding, Huey‐Kang Sytwu, John T. Kung, Jer‐Tsong Hsieh and Rey-Chen Pong. Their work appears in journals such as Journal of Virology, Investigative Ophthalmology & Visual Science, Cancer Letters, Biochemical and Biophysical Research Communications and Neuroreport.
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.