Zsὁfia Iglὁi
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 detection and testing 8
- SARS-CoV-2 and COVID-19 Research 8
- Viral Infections and Outbreaks Research 2
- Viral Infections and Vectors 2
-
- Hepatitis C virus research 4
- Co-authors
- Marion Koopmans (7 shared papers)Corine H. GeurtsvanKessel (4 shared papers)Richard Molenkamp (7 shared papers)Jeroen J. A. van Kampen (2 shared papers)Annemiek A. van der Eijk (2 shared papers)Brigitta M. Laksono (1 shared paper)Carmen W.E. Embregts (1 shared paper)Casper Rokx (1 shared paper)
- Journals
- BMC Medicine (2 papers)Emerging infectious diseases (2 papers)Journal of Clinical Virology (2 papers)Nature Communications (1 paper)Journal of Global Health (1 paper)
- Partner nations
- NetherlandsUnited KingdomFinland
In The Last Decade
Zsὁfia Iglὁi
18 papers receiving 541 citations
Peers
Comparison fields: 5 of 78
- Infectious Diseases 421
- Modeling and Simulation 27
- Hepatology 35
- Biomedical Engineering 133
- Parasitology 18
Countries citing papers authored by Zsὁfia Iglὁi
This map shows the geographic impact of Zsὁfia Iglὁi'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 Zsὁfia Iglὁi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsὁfia Iglὁi more than expected).
Fields of papers citing papers by Zsὁfia Iglὁi
This network shows the impact of papers produced by Zsὁfia Iglὁi. 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 Zsὁfia Iglὁi. The network helps show where Zsὁfia Iglὁi may publish in the future.
Co-authors
The 25 scholars most cited alongside Zsὁfia Iglὁi, 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 | 2020 | 231 | |
| 2 | 2021 | 63 | |
| 3 | 2020 | 61 | |
| 4 | 2008 | 29 | |
| 5 | 2014 | 26 | |
| 6 | 2013 | 25 | |
| 7 | 2015 | 17 | |
| 8 | 2018 | 17 | |
| 9 | 2015 | 17 | |
| 10 | 2021 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 9 | |
| 13 | From more testing to smart testing:data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020 | 2022 | 7 |
| 14 | 2022 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 1 |
About Zsὁfia Iglὁi
Zsὁfia Iglὁi is a scholar working on Infectious Diseases, Hepatology, Biomedical Engineering, Molecular Biology and Epidemiology, having authored 18 papers that have together received 544 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Hepatitis C virus research (4 papers), Biosensors and Analytical Detection (4 papers), Zoonotic diseases and public health (2 papers), Viral Infections and Outbreaks Research (2 papers), Respiratory viral infections research (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (421 citations), Modeling and Simulation (27 citations), Hepatology (35 citations), Biomedical Engineering (133 citations) and Parasitology (18 citations). Zsὁfia Iglὁi has collaborated with scholars based in Netherlands, United Kingdom and Finland. Frequent co-authors include Marion Koopmans, Corine H. GeurtsvanKessel, Richard Molenkamp, Jeroen J. A. van Kampen, Annemiek A. van der Eijk, Brigitta M. Laksono, Carmen W.E. Embregts, Casper Rokx, Rob van Binnendijk and Lonneke Leijten. Their work appears in journals such as BMC Medicine, Emerging infectious diseases, Journal of Clinical Virology, Nature Communications and Journal of Global Health.
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.