Patrick D. Staber
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- Genetic Neurodegenerative Diseases 3
- Genetics top 5%
- Virus-based gene therapy research 7
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 5
- RNA Interference and Gene Delivery 4
- RNA Research and Splicing 2
- Pluripotent Stem Cells Research 1
- Neurology top 10%
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- Viral gastroenteritis research and epidemiology 3
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- Respiratory viral infections research 1
- Co-authors
- Beverly L. DavidsonScott Q. HarperInês MartinsSteven EliasonQinwen MaoHenry L. PaulsonRobert M. KotinXiaohua He
- Journals
- Molecular Therapy (3 papers)Journal of Virology (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesFranceRussia
In The Last Decade
Patrick D. Staber
11 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 485
- Genetics 554
- Molecular Biology 1.2k
- Cancer Research 157
- Neurology 148
Countries citing papers authored by Patrick D. Staber
This map shows the geographic impact of Patrick D. Staber'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 Patrick D. Staber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick D. Staber more than expected).
Fields of papers citing papers by Patrick D. Staber
This network shows the impact of papers produced by Patrick D. Staber. 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 Patrick D. Staber. The network helps show where Patrick D. Staber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick D. Staber, 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 | 2008 | 472 | |
| 2 | 2006 | 17 | |
| 3 | 2006 | 1 | |
| 4 | RNA interference improves motor and neuropathological abnormalities in a Huntington's disease mouse modelbreakdown → | 2005 | 528 |
| 5 | 2004 | 40 | |
| 6 | 2003 | 96 | |
| 7 | 2002 | 111 | |
| 8 | 2002 | 54 | |
| 9 | 2001 | 33 | |
| 10 | 2001 | 74 | |
| 11 | 2000 | 121 |
About Patrick D. Staber
Patrick D. Staber is a scholar working on Genetics, Biophysics and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (5 papers), RNA Interference and Gene Delivery (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Genetic Neurodegenerative Diseases (3 papers), RNA Research and Splicing (2 papers), Respiratory viral infections research (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (485 citations), Genetics (554 citations) and Molecular Biology (1.2k citations). Patrick D. Staber has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Beverly L. Davidson, Scott Q. Harper, Inês Martins, Steven Eliason, Qinwen Mao, Henry L. Paulson, Robert M. Kotin, Xiaohua He, Linda Yang and Jodi L. McBride. Their work appears in journals such as Molecular Therapy, Journal of Virology, Proceedings of the National Academy of Sciences, Hypertension and Neuroreport.
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.