Ta Jen Liu
- Molecular Biology
- Oncology top 10%
- Genetics top 10%
- Biotechnology top 5%
- Cancer Research
- Co-authors
- Gary L. ClaymanJack A. RothWei Wei ZhangAdel K. El‐NaggarHelmuth GoepfertDorothy TaylorGregory N. FullerJohn de Groot
- Topics
- Virus-based gene therapy research (4 papers)Cancer Research and Treatments (4 papers)RNA Interference and Gene Delivery (3 papers)
- Cited by
- BiotechnologyGeneticsOncology
- Partner nations
- United States
In The Last Decade
Ta Jen Liu
9 papers receiving 636 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 371
- Oncology 260
- Genetics 198
- Biotechnology 144
- Cancer Research 113
Countries citing papers authored by Ta Jen Liu
This map shows the geographic impact of Ta Jen Liu'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 Ta Jen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ta Jen Liu more than expected).
Fields of papers citing papers by Ta Jen Liu
This network shows the impact of papers produced by Ta Jen Liu. 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 Ta Jen Liu. The network helps show where Ta Jen Liu may publish in the future.
Co-authorship network of co-authors of Ta Jen Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ta Jen Liu. A scholar is included among the top collaborators of Ta Jen Liu 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 Ta Jen Liu. Ta Jen Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 62 | |
| 2 | 82 | |
| 3 | 86 | |
| 4 | Antiangiogenesis treatment for gliomas: transfer of antisense-vascular endothelial growth factor inhibits tumor growth in vivo. | 102 |
| 5 | Combination E2F-1 and p53 gene transfer does not enhance growth inhibition in human squamous cell carcinoma of the head and neck. | 11 |
| 6 | Bystander effect in the adenovirus-mediated wild-type p53 gene therapy model of human squamous cell carcinoma of the head and neck. | 40 |
| 7 | Evaluation of topical gene therapy for head and neck squamous cell carcinoma in an organotypic model. | 29 |
| 8 | In vivo molecular therapy with p53 adenovirus for microscopic residual head and neck squamous carcinoma. | 214 |
| 9 | 26 |
About Ta Jen Liu
Ta Jen Liu is a scholar working on Biotechnology, Immunology and Allergy and Oncology, having authored 9 papers that have together received 652 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Cancer Research and Treatments (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Biotechnology (144 citations), Genetics (107 citations) and Oncology (260 citations). Ta Jen Liu has collaborated with scholars based in United States. Frequent co-authors include Gary L. Clayman, Jack A. Roth, Wei Wei Zhang, Adel K. El‐Naggar, Helmuth Goepfert, Dorothy Taylor, Gregory N. Fuller, John de Groot, W.K. Alfred Yung and W. K. Alfred Yung. Their work appears in journals such as Molecular and Cellular Biology, Cancer Research and Molecular Cancer Therapeutics.
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.