Dirk Eggink
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 33
- HIV/AIDS drug development and treatment 9
- SARS-CoV-2 detection and testing 7
- COVID-19 Clinical Research Studies 5
- Virology 22
- HIV Research and Treatment 22
- Co-authors
- Peter Palese (8 shared papers)Rogier W. Sanders (25 shared papers)Ben Berkhout (18 shared papers)Gene S. Tan (4 shared papers)Florian Krammer (6 shared papers)Peter H. Goff (4 shared papers)Rong Hai (4 shared papers)Jad Maamary (2 shared papers)
- Journals
- Journal of Virology (17 papers)Eurosurveillance (9 papers)Scientific Reports (4 papers)Virus Evolution (4 papers)Retrovirology (3 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Dirk Eggink
102 papers receiving 4k citations
Peers
Comparison fields: 5 of 89
- Virology 895
- Infectious Diseases 1.4k
- Epidemiology 1.3k
- Modeling and Simulation 142
- Microbiology 59
Countries citing papers authored by Dirk Eggink
This map shows the geographic impact of Dirk Eggink'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 Dirk Eggink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Eggink more than expected).
Fields of papers citing papers by Dirk Eggink
This network shows the impact of papers produced by Dirk Eggink. 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 Dirk Eggink. The network helps show where Dirk Eggink may publish in the future.
Co-authors
The 25 scholars most cited alongside Dirk Eggink, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 297 | |
| 2 | 2012 | 249 | |
| 3 | 2012 | 229 | |
| 4 | 2021 | 176 | |
| 5 | 2021 | 171 | |
| 6 | 2013 | 160 | |
| 7 | 2012 | 150 | |
| 8 | 2013 | 131 | |
| 9 | 2010 | 120 | |
| 10 | 2015 | 104 | |
| 11 | 2022 | 102 | |
| 12 | 2022 | 96 | |
| 13 | 2021 | 91 | |
| 14 | 2021 | 83 | |
| 15 | 2019 | 79 | |
| 16 | 2010 | 76 | |
| 17 | 2013 | 74 | |
| 18 | 2012 | 72 | |
| 19 | 2022 | 70 | |
| 20 | 2010 | 68 |
About Dirk Eggink
Dirk Eggink is a scholar working on Infectious Diseases, Virology, Epidemiology, Modeling and Simulation and Microbiology, having authored 106 papers that have together received 4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (33 papers), Influenza Virus Research Studies (30 papers), HIV Research and Treatment (22 papers), HIV/AIDS drug development and treatment (9 papers), COVID-19 epidemiological studies (8 papers), SARS-CoV-2 detection and testing (7 papers), Glycosylation and Glycoproteins Research (6 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Virology (895 citations), Infectious Diseases (1.4k citations), Epidemiology (1.3k citations), Modeling and Simulation (142 citations) and Microbiology (59 citations). Dirk Eggink has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Peter Palese, Rogier W. Sanders, Ben Berkhout, Gene S. Tan, Florian Krammer, Peter H. Goff, Rong Hai, Jad Maamary, Natalie Pica and Thomas M. Moran. Their work appears in journals such as Journal of Virology, Eurosurveillance, Scientific Reports, Virus Evolution and Retrovirology.
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.