Ta-Jen Liu
- Molecular Biology
- Oncology top 10%
- Genetics top 10%
- Biotechnology top 5%
- Cancer Research
- Co-authors
- W.K. Alfred YungGary L. ClaymanDimpy KoulWeiwei ZhangJack A. RothHelmuth GoepfertDorothy TaylorNingyi Tiao
- Topics
- Cancer-related Molecular Pathways (11 papers)Virus-based gene therapy research (9 papers)Cancer Research and Treatments (9 papers)
- Cited by
- BiotechnologyOncologyGenetics
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Ta-Jen Liu
20 papers receiving 868 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 620
- Oncology 373
- Genetics 234
- Biotechnology 191
- Cancer Research 137
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 | 28 | |
| 2 | 203 | |
| 3 | 10 | |
| 4 | p16 gene therapy: a potentially efficacious modality for nasopharyngeal carcinoma. | 15 |
| 5 | 45 | |
| 6 | Apoptosis induced by adenovirus-mediated p53 gene transfer in human glioma correlates with site-specific phosphorylation. | 57 |
| 7 | 12 | |
| 8 | 23 | |
| 9 | Transfer of E2F-1 to human glioma cells results in transcriptional up-regulation of Bcl-2. | 42 |
| 10 | 12 | |
| 11 | 36 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 28 | |
| 15 | 2 | |
| 16 | 56 | |
| 17 | Adenovirus-mediated p16/CDKN2 gene transfer induces growth arrest and modifies the transformed phenotype of glioma cells. | 69 |
| 18 | Growth suppression of human head and neck cancer cells by the introduction of a wild-type p53 gene via a recombinant adenovirus. | 212 |
| 19 | 15 | |
| 20 | 14 |
About Ta-Jen Liu
Ta-Jen Liu is a scholar working on Biotechnology, Oncology and Genetics, having authored 20 papers that have together received 894 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (11 papers), Virus-based gene therapy research (9 papers) and Cancer Research and Treatments (9 papers). The work is most often cited by research in Biotechnology (191 citations), Oncology (373 citations) and Genetics (98 citations). Ta-Jen Liu has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include W.K. Alfred Yung, Gary L. Clayman, Dimpy Koul, Weiwei Zhang, Jack A. Roth, Helmuth Goepfert, Dorothy Taylor, Ningyi Tiao, Sauveur-Michel Maira and Tiffany A. LaFortune. Their work appears in journals such as Circulation, PLoS ONE and Molecular and Cellular Biology.
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.