Sara Powell
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA Interference and Gene Delivery
- RNA Research and Splicing
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- RNA Interference and Gene Delivery 5
- Genomics and Chromatin Dynamics 3
- DNA Repair Mechanisms 2
- Renal and related cancers 2
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 2
- Genetics 6
- Virus-based gene therapy research 5
- Co-authors
- David M. MacAlpine (4 shared papers)Heather K. MacAlpine (2 shared papers)Deborah Lang (3 shared papers)R. Plummer (2 shared papers)Bruce Ruggeri (2 shared papers)Raluca Gordân (1 shared paper)Alexander J. Hartemink (1 shared paper)Steven J. Gray (2 shared papers)
- Journals
- Molecular Therapy (2 papers)The Journal of Cell Biology (2 papers)Genome biology (1 paper)Molecular Carcinogenesis (1 paper)Gene Therapy (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Sara Powell
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 903
- Genetics 309
- Aging 19
- Developmental Neuroscience 35
- Cell Biology 141
Countries citing papers authored by Sara Powell
This map shows the geographic impact of Sara Powell'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 Sara Powell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Powell more than expected).
Fields of papers citing papers by Sara Powell
This network shows the impact of papers produced by Sara Powell. 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 Sara Powell. The network helps show where Sara Powell may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Powell, 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 | 2006 | 229 | |
| 2 | 2009 | 220 | |
| 3 | 2010 | 136 | |
| 4 | Viral expression cassette elements to enhance transgene target specificity and expression in gene therapy. | 2015 | 92 |
| 5 | 2014 | 76 | |
| 6 | 2016 | 69 | |
| 7 | 2015 | 67 | |
| 8 | 1993 | 62 | |
| 9 | 1988 | 56 | |
| 10 | 2020 | 50 | |
| 11 | 2008 | 42 | |
| 12 | 2017 | 42 | |
| 13 | 2020 | 29 | |
| 14 | 2007 | 20 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 1 |
About Sara Powell
Sara Powell is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Immunology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Virus-based gene therapy research (5 papers), Genomics and Chromatin Dynamics (3 papers), DNA Repair Mechanisms (2 papers), Renal and related cancers (2 papers), Pancreatic function and diabetes (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (903 citations), Genetics (309 citations), Aging (19 citations), Developmental Neuroscience (35 citations) and Cell Biology (141 citations). Sara Powell has collaborated with scholars based in United States, Italy and China. Frequent co-authors include David M. MacAlpine, Heather K. MacAlpine, Deborah Lang, R. Plummer, Bruce Ruggeri, Raluca Gordân, Alexander J. Hartemink, Steven J. Gray, Thomas J. McCown and R. Jude Samulski. Their work appears in journals such as Molecular Therapy, The Journal of Cell Biology, Genome biology, Molecular Carcinogenesis and Gene Therapy.
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.