Phillip W.L. Tai

6.2k citations
53 papers · 4.1k indexed · 2 hit papers · h-index 25
  • Genetics top 0.5%
    • Virus-based gene therapy research 34
    • CRISPR and Genetic Engineering 19
    • RNA Interference and Gene Delivery 14
    • Viral Infectious Diseases and Gene Expression in Insects 12
    • RNA Research and Splicing 8
    • Bone Metabolism and Diseases 5
    • Molecular Biology Techniques and Applications 4
  • Oncology top 5%
    • CAR-T cell therapy research 5
  • Genetics top 5%
    • Virus-based gene therapy research 34

Phillip W.L. Tai

50 papers receiving 4.0k citations

Hit Papers

Viral vector platforms within the gene therapy landscape902201920262021202350010001.5k

Peers

Phillip W.L. Tai
Comparison fields: 5 of 121
  • Genetics 2.1k
  • Molecular Biology 3.2k
  • Business and International Management 53
  • Oncology 542
  • Genetics 183
Replace Anja Ehrhardt with:
Anja Ehrhardt Germany
Eugenio Montini Italy
Thierry VandenDriessche Belgium
Marinee Chuah Belgium
Cynthia C. Bartholomae Germany
Chengwen Li United States
Jacob Giehm Mikkelsen Denmark
Peter Bell United States
Fuminori Sakurai Japan
Leszek Lisowski Australia
Phillip W.L. Tai relative to Anja Ehrhardt Germany Anja Ehrhardt's profile →
Citations per field
00.5×3.5×
Anja Ehrhardt · 1×
Citations per year

Countries citing papers authored by Phillip W.L. Tai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Phillip W.L. Tai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phillip W.L. Tai Line = papers co-authored together Phillip W.L. Tai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20244
5 20245
6 20234
7 202250
8 2021134
9 202180
10 202111
11 202136
12
Viral vector platforms within the gene therapy landscapebreakdown →
2021902
13 202040
14 202037
15 2019101
16 201862
17 201732
18 201755
19 201722
20 201771

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), RNA Interference and Gene Delivery (14 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), RNA Research and Splicing (8 papers), CAR-T cell therapy research (5 papers), Bone Metabolism and Diseases (5 papers) and Molecular Biology Techniques and Applications (4 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.

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