Jason O’Donnell
Impact in
- Structural Biology top 10%
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 3
- RNA Interference and Gene Delivery 2
- Lipid Membrane Structure and Behavior 1
- Genetics 4
- Virus-based gene therapy research 4
- Co-authors
- Michael S. Chapman (4 shared papers)Kenneth A. Taylor (3 shared papers)Scott M. Stagg (6 shared papers)Nilakshee Bhattacharya (3 shared papers)Ralph A. Tripp (2 shared papers)Olivia Perwitasari (1 shared paper)Scott K. Johnson (1 shared paper)Xiuzhen Yan (1 shared paper)
- Journals
- Virology (2 papers)Assay and Drug Development Technologies (1 paper)Journal of Structural Biology (1 paper)Nature Structural & Molecular Biology (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Jason O’Donnell
11 papers receiving 438 citations
Peers
Comparison fields: 5 of 66
- Structural Biology 22
- Genetics 223
- Animal Science and Zoology 57
- Infectious Diseases 84
- Cell Biology 63
Countries citing papers authored by Jason O’Donnell
This map shows the geographic impact of Jason O’Donnell'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 Jason O’Donnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason O’Donnell more than expected).
Fields of papers citing papers by Jason O’Donnell
This network shows the impact of papers produced by Jason O’Donnell. 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 Jason O’Donnell. The network helps show where Jason O’Donnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason O’Donnell, 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 | 2009 | 101 | |
| 2 | 2012 | 72 | |
| 3 | 2012 | 68 | |
| 4 | 2015 | 60 | |
| 5 | 2012 | 48 | |
| 6 | 2015 | 37 | |
| 7 | 2012 | 31 | |
| 8 | 2010 | 16 | |
| 9 | 2006 | 6 | |
| 10 | 2011 | 1 | |
| 11 | Examination of the Validity of Submaximal Exercise Tests to Assess Maximal Oxygen Uptake | 2018 | 1 |
About Jason O’Donnell
Jason O’Donnell is a scholar working on Molecular Biology, Genetics, Structural Biology, Cell Biology and Infectious Diseases, having authored 11 papers that have together received 441 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), RNA Interference and Gene Delivery (2 papers), Cellular transport and secretion (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Urologic and reproductive health conditions (1 paper), Animal Virus Infections Studies (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Structural Biology (22 citations), Genetics (223 citations), Animal Science and Zoology (57 citations), Infectious Diseases (84 citations) and Cell Biology (63 citations). Jason O’Donnell has collaborated with scholars based in United States. Frequent co-authors include Michael S. Chapman, Kenneth A. Taylor, Scott M. Stagg, Nilakshee Bhattacharya, Ralph A. Tripp, Olivia Perwitasari, Scott K. Johnson, Xiuzhen Yan, Thomas F. Lerch and Qing Xie. Their work appears in journals such as Virology, Assay and Drug Development Technologies, Journal of Structural Biology, Nature Structural & Molecular Biology and Journal of Molecular Biology.
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.