Elizabeth A. Austin

1.5k citations
19 papers · 1.2k indexed · h-index 12
    • Cancer Research and Treatments 3
  • Genetics top 2%
    • Virus-based gene therapy research 5
    • Bacterial Genetics and Biotechnology 3
  • Oncology top 10%
    • RNA Interference and Gene Delivery 2
    • Biochemical and Molecular Research 2
    • CRISPR and Genetic Engineering 2
    • Bacteriophages and microbial interactions 2
    • Cytomegalovirus and herpesvirus research 2

Elizabeth A. Austin

19 papers receiving 1.2k citations

Peers

Elizabeth A. Austin
Comparison fields: 5 of 87
  • Biotechnology 406
  • Genetics 845
  • Oncology 394
  • Molecular Biology 702
  • Endocrinology 32
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Citations per year

Countries citing papers authored by Elizabeth A. Austin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Elizabeth A. Austin, 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 Elizabeth A. Austin Line = papers co-authored together Elizabeth A. Austin links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20184
2 20162
3 20128
4 20071
5 199911
6 199716
7 1995130
8 199521
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.
1995150
10 199437
11 1994340
12 199343
13 1993143
14 19933
15
In vivo antitumor activity of 5-fluorocytosine on human colorectal carcinoma cells genetically modified to express cytosine deaminase.
1993189
16 199016
17 199089
18 19806
19 197815

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), Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (2 papers), RNA Interference and Gene Delivery (2 papers), Biochemical and Molecular Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Cytomegalovirus and herpesvirus research (2 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.

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