David Oyen
Impact in
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Protein Structure and Dynamics 6
- Glycosylation and Glycoproteins Research 3
- RNA and protein synthesis mechanisms 3
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Ian A. Wilson (11 shared papers)Andrew B. Ward (6 shared papers)R. Bryn Fenwick (5 shared papers)Peter E. Wright (6 shared papers)C. Richter King (6 shared papers)Nicholas C. Wu (2 shared papers)Scott E. Hensley (1 shared paper)H. Jane Dyson (5 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)Journal of Molecular Biology (3 papers)PLoS Pathogens (2 papers)Nature Communications (2 papers)ACS Chemical Neuroscience (1 paper)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
David Oyen
20 papers receiving 689 citations
Peers
Comparison fields: 5 of 72
- Virology 130
- Immunology 166
- Epidemiology 227
- Infectious Diseases 110
- Public Health, Environmental and Occupational Health 173
Countries citing papers authored by David Oyen
This map shows the geographic impact of David Oyen'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 David Oyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Oyen more than expected).
Fields of papers citing papers by David Oyen
This network shows the impact of papers produced by David Oyen. 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 David Oyen. The network helps show where David Oyen may publish in the future.
Co-authors
The 25 scholars most cited alongside David Oyen, 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 | 2017 | 175 | |
| 2 | 2018 | 113 | |
| 3 | 2017 | 90 | |
| 4 | 2018 | 53 | |
| 5 | 2015 | 44 | |
| 6 | 2011 | 30 | |
| 7 | 2013 | 28 | |
| 8 | 2021 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2017 | 23 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2015 | 8 | |
| 18 | 2020 | 5 | |
| 19 | 2014 | 2 | |
| 20 | 2024 | 1 |
About David Oyen
David Oyen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Spectroscopy and Immunology, having authored 20 papers that have together received 707 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Malaria Research and Control (4 papers), Glycosylation and Glycoproteins Research (3 papers), RNA and protein synthesis mechanisms (3 papers), HIV Research and Treatment (2 papers), Molecular spectroscopy and chirality (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Virology (130 citations), Immunology (166 citations), Epidemiology (227 citations), Infectious Diseases (110 citations) and Public Health, Environmental and Occupational Health (173 citations). David Oyen has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Ian A. Wilson, Andrew B. Ward, R. Bryn Fenwick, Peter E. Wright, C. Richter King, Nicholas C. Wu, Scott E. Hensley, H. Jane Dyson, Seth J. Zost and Andrew J. Thompson. Their work appears in journals such as Journal of the American Chemical Society, Journal of Molecular Biology, PLoS Pathogens, Nature Communications and ACS Chemical Neuroscience.
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.