Phillip W.L. Tai
- Molecular Biology top 2%
- Genetics top 0.5%
- Oncology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Infectious Diseases top 5%
- Co-authors
- Guangping GaoDan WangHong MaYi WangJote BulchaJun XieJanet L. SteinJane B. Lian
- Topics
- Virus-based gene therapy research (34 papers)CRISPR and Genetic Engineering (19 papers)RNA Interference and Gene Delivery (14 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Phillip W.L. Tai
50 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 3.2k
- Genetics 2.1k
- Oncology 542
- Cardiology and Cardiovascular Medicine 341
- Infectious Diseases 315
Countries citing papers authored by Phillip W.L. Tai
This map shows the geographic impact of Phillip W.L. Tai'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 Phillip W.L. Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip W.L. Tai more than expected).
Fields of papers citing papers by Phillip W.L. Tai
This network shows the impact of papers produced by Phillip W.L. Tai. 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 Phillip W.L. Tai. The network helps show where Phillip W.L. Tai may publish in the future.
Co-authorship network of co-authors of Phillip W.L. Tai
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip W.L. Tai. A scholar is included among the top collaborators of Phillip W.L. Tai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phillip W.L. Tai. Phillip W.L. Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 50 | |
| 8 | 134 | |
| 9 | 80 | |
| 10 | 11 | |
| 11 | 36 | |
| 12 | Viral vector platforms within the gene therapy landscapebreakdown → | 902 |
| 13 | 40 | |
| 14 | 37 | |
| 15 | 101 | |
| 16 | 62 | |
| 17 | 32 | |
| 18 | 55 | |
| 19 | 22 | |
| 20 | 71 |
About Phillip W.L. Tai
Phillip W.L. Tai is a scholar working on Genetics, Molecular Biology and Oncology, having authored 53 papers that have together received 4.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (34 papers), CRISPR and Genetic Engineering (19 papers) and RNA Interference and Gene Delivery (14 papers). The work is most often cited by research in Genetics (2.1k citations), Molecular Biology (3.2k citations) and Business and International Management (53 citations). Phillip W.L. Tai has collaborated with scholars based in United States, China and France. Frequent co-authors include Guangping Gao, Dan Wang, Hong Ma, Yi Wang, Jote Bulcha, Jun Xie, Janet L. Stein, Jane B. Lian, André J. van Wijnen and Hai Wu. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature 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.