Allison Dane
Impact in
- Genetics top 2%
- Virus-based gene therapy research
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
- Genetics 15
- Virus-based gene therapy research 15
-
- RNA Interference and Gene Delivery 8
- CRISPR and Genetic Engineering 6
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- Ian E. Alexander (12 shared papers)Sharon C. Cunningham (9 shared papers)Leszek Lisowski (2 shared papers)Elizabeth M. Wilson (1 shared paper)Yue Zhang (1 shared paper)Markus Grompe (1 shared paper)Mark A. Kay (1 shared paper)Kirk Chu (1 shared paper)
- Journals
- Molecular Therapy (5 papers)Gene Therapy (3 papers)The Journal of Gene Medicine (3 papers)Blood (3 papers)Haemophilia (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Allison Dane
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 65
- Genetics 728
- Molecular Biology 683
- Clinical Biochemistry 63
- Hematology 88
- Infectious Diseases 128
Countries citing papers authored by Allison Dane
This map shows the geographic impact of Allison Dane'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 Allison Dane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison Dane more than expected).
Fields of papers citing papers by Allison Dane
This network shows the impact of papers produced by Allison Dane. 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 Allison Dane. The network helps show where Allison Dane may publish in the future.
Co-authors
The 25 scholars most cited alongside Allison Dane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 351 | |
| 2 | 2008 | 174 | |
| 3 | 2022 | 102 | |
| 4 | 2017 | 77 | |
| 5 | 2012 | 54 | |
| 6 | 2008 | 53 | |
| 7 | 2010 | 40 | |
| 8 | 2011 | 36 | |
| 9 | 2009 | 36 | |
| 10 | 2004 | 33 | |
| 11 | 2013 | 32 | |
| 12 | 2004 | 27 | |
| 13 | 2018 | 20 | |
| 14 | Application of the transgenic adenocarcinoma mouse prostate (TRAMP) model for pre-clinical therapeutic studies. | 2003 | 18 |
| 15 | 2012 | 13 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2018 | 2 |
About Allison Dane
Allison Dane is a scholar working on Genetics, Molecular Biology, Infectious Diseases, Biotechnology and Clinical Biochemistry, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (8 papers), CRISPR and Genetic Engineering (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Metabolism and Genetic Disorders (2 papers), Cancer Research and Treatments (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Genetics (728 citations), Molecular Biology (683 citations), Clinical Biochemistry (63 citations), Hematology (88 citations) and Infectious Diseases (128 citations). Allison Dane has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Ian E. Alexander, Sharon C. Cunningham, Leszek Lisowski, Elizabeth M. Wilson, Yue Zhang, Markus Grompe, Mark A. Kay, Kirk Chu, Sean Nygaard and Samantha L. Ginn. Their work appears in journals such as Molecular Therapy, Gene Therapy, The Journal of Gene Medicine, Blood and Haemophilia.
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.