John-Paul Denson
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
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- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Protein Structure and Dynamics
- Protein Tyrosine Phosphatases
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Ion channel regulation and function 1
- Protein Degradation and Inhibitors 1
- Protein purification and stability 1
-
- SARS-CoV-2 and COVID-19 Research 2
- SARS-CoV-2 detection and testing 2
- Co-authors
- Dominic Esposito (6 shared papers)Troy Taylor (4 shared papers)Andrew G. Stephen (2 shared papers)Simon Messing (3 shared papers)Matthew Drew (3 shared papers)Dhirendra K. Simanshu (1 shared paper)Jennifer Mehalko (3 shared papers)William Gillette (3 shared papers)
- Journals
- Protein Expression and Purification (2 papers)FEMS Yeast Research (1 paper)Journal of Clinical Immunology (1 paper)Nature Communications (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United States
In The Last Decade
John-Paul Denson
8 papers receiving 390 citations
Peers
Comparison fields: 5 of 54
- Infectious Diseases 123
- Molecular Biology 265
- Cell Biology 56
- Modeling and Simulation 10
- Animal Science and Zoology 22
Countries citing papers authored by John-Paul Denson
This map shows the geographic impact of John-Paul Denson'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 John-Paul Denson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John-Paul Denson more than expected).
Fields of papers citing papers by John-Paul Denson
This network shows the impact of papers produced by John-Paul Denson. 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 John-Paul Denson. The network helps show where John-Paul Denson may publish in the future.
Co-authors
The 25 scholars most cited alongside John-Paul Denson, 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 | 2021 | 139 | |
| 2 | 2021 | 107 | |
| 3 | 2018 | 55 | |
| 4 | 2017 | 55 | |
| 5 | 2020 | 19 | |
| 6 | 2010 | 15 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 |
About John-Paul Denson
John-Paul Denson is a scholar working on Molecular Biology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Animal Science and Zoology, having authored 8 papers that have together received 392 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Ion channel regulation and function (1 paper), Protein Degradation and Inhibitors (1 paper), Protein purification and stability (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (123 citations), Molecular Biology (265 citations), Cell Biology (56 citations), Modeling and Simulation (10 citations) and Animal Science and Zoology (22 citations). John-Paul Denson has collaborated with scholars based in United States. Frequent co-authors include Dominic Esposito, Troy Taylor, Andrew G. Stephen, Simon Messing, Matthew Drew, Dhirendra K. Simanshu, Jennifer Mehalko, William Gillette, Albert H. Chan and Chris Neale. Their work appears in journals such as Protein Expression and Purification, FEMS Yeast Research, Journal of Clinical Immunology, Nature Communications and Biophysical Journal.
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.