Elizabeth A. Austin
- Genetics top 2%
- Molecular Biology top 10%
- Biotechnology top 1%
- Oncology top 10%
- Epidemiology
- Co-authors
- Brian E. HuberC A RichardsSteven S. GoodStephen T. DavisCynthia A. RichardsV C KnickDoris M. MurrayCarl A. Schnaitman
- Topics
- Virus-based gene therapy research (5 papers)Cancer Research and Treatments (3 papers)Bacterial Genetics and Biotechnology (3 papers)
- Cited by
- BiotechnologyGeneticsOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAdvanced Drug Delivery Reviews
- Partner nations
- United StatesPanama
In The Last Decade
Elizabeth A. Austin
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Genetics 845
- Molecular Biology 702
- Biotechnology 406
- Oncology 394
- Epidemiology 123
Countries citing papers authored by Elizabeth A. Austin
This map shows the geographic impact of Elizabeth A. Austin'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 Elizabeth A. Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth A. Austin more than expected).
Fields of papers citing papers by Elizabeth A. Austin
This network shows the impact of papers produced by Elizabeth A. Austin. 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 Elizabeth A. Austin. The network helps show where Elizabeth A. Austin may publish in the future.
Co-authorship network of co-authors of Elizabeth A. Austin
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth A. Austin. A scholar is included among the top collaborators of Elizabeth A. Austin 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 Elizabeth A. Austin. Elizabeth A. Austin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 16 | |
| 7 | 130 | |
| 8 | 21 | |
| 9 | Enzyme/prodrug gene therapy: comparison of cytosine deaminase/5-fluorocytosine versus thymidine kinase/ganciclovir enzyme/prodrug systems in a human colorectal carcinoma cell line. | 150 |
| 10 | 37 | |
| 11 | 340 | |
| 12 | 43 | |
| 13 | 143 | |
| 14 | 3 | |
| 15 | In vivo antitumor activity of 5-fluorocytosine on human colorectal carcinoma cells genetically modified to express cytosine deaminase. | 189 |
| 16 | 16 | |
| 17 | 89 | |
| 18 | 6 | |
| 19 | 15 |
About Elizabeth A. Austin
Elizabeth A. Austin is a scholar working on Endocrinology, Biotechnology and Genetics, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Cancer Research and Treatments (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Biotechnology (406 citations), Genetics (845 citations) and Oncology (394 citations). Elizabeth A. Austin has collaborated with scholars based in United States and Panama. Frequent co-authors include Brian E. Huber, C A Richards, Steven S. Good, Stephen T. Davis, Cynthia A. Richards, V C Knick, Doris M. Murray, Carl A. Schnaitman, David Porter and Craig T. Parker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Advanced Drug Delivery Reviews.
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.