Jason O’Neill
Impact in
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Protein Structure and Dynamics
- Glycosylation and Glycoproteins Research
- Enzyme function and inhibition
- Biotechnology top 5%
Papers in
- Co-authors
- Ethan BierKam Y. J. ZhangDavid M. HockenberyMichael K. ManionV. FrançoisMark J. SollowayArnd SturmMaarten J. Chrispeels
- Journals
- Protein Science (2 papers)Journal of Biological Chemistry (2 papers)Molecular Pharmaceutics (1 paper)PLANT PHYSIOLOGY (1 paper)Current Medicinal Chemistry (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jason O’Neill
29 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.6k
- Biotechnology 127
- Immunology 248
- Cell Biology 181
- Cancer Research 159
Countries citing papers authored by Jason O’Neill
This map shows the geographic impact of Jason O’Neill'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’Neill 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’Neill more than expected).
Fields of papers citing papers by Jason O’Neill
This network shows the impact of papers produced by Jason O’Neill. 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’Neill. The network helps show where Jason O’Neill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason O’Neill, 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 | 2018 | 68 | |
| 2 | 2016 | 47 | |
| 3 | 2016 | 4 | |
| 4 | 2015 | 90 | |
| 5 | 2014 | 137 | |
| 6 | 2010 | 16 | |
| 7 | 2009 | 22 | |
| 8 | 2005 | 80 | |
| 9 | 2004 | 72 | |
| 10 | 2004 | 122 | |
| 11 | 2004 | 65 | |
| 12 | 2003 | 13 | |
| 13 | 2002 | 46 | |
| 14 | 2001 | 122 | |
| 15 | 2001 | 63 | |
| 16 | 2001 | 47 | |
| 17 | 2001 | 55 | |
| 18 | 2000 | 3 | |
| 19 | 1996 | 47 | |
| 20 | Double-label in situ hybridization using biotin and digoxigenin-tagged RNA probes. | 1994 | 148 |
About Jason O’Neill
Jason O’Neill is a scholar working on Discrete Mathematics and Combinatorics, Biotechnology, Molecular Biology, Cancer Research and Immunology, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Enzyme Structure and Function (4 papers), Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (3 papers), Protein Structure and Dynamics (2 papers), Neurobiology and Insect Physiology Research (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Biotechnology (127 citations), Immunology (248 citations), Cell Biology (181 citations) and Cancer Research (159 citations). Jason O’Neill has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ethan Bier, Kam Y. J. Zhang, David M. Hockenbery, Michael K. Manion, V. François, Mark J. Solloway, Arnd Sturm, Maarten J. Chrispeels, Antje von Schaewen and David E. Kim. Their work appears in journals such as Protein Science, Journal of Biological Chemistry, Molecular Pharmaceutics, PLANT PHYSIOLOGY and Current Medicinal Chemistry.
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.