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
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- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 detection and testing 6
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 1
- Dermatological diseases and infestations 1
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- COVID-19 epidemiological studies 1
- Co-authors
- Marion Koopmans (4 shared papers)Corine Geurts van Kessel (3 shared papers)Carmen W.E. Embregts (1 shared paper)Annemiek A. van der Eijk (1 shared paper)Casper Rokx (1 shared paper)Jeroen J. A. van Kampen (1 shared paper)Lonneke M. E. Leijten (1 shared paper)Nisreen M.A. Okba (1 shared paper)
- Journals
- BMC Medicine (2 papers)European Journal of Clinical Microbiology & Infectious Diseases (1 paper)Journal of Hospital Infection (1 paper)Nature Communications (1 paper)Eurosurveillance (1 paper)
- Partner nations
- NetherlandsBelgiumLuxembourg
In The Last Decade
Zsὁfia Iglὁi
9 papers receiving 475 citations
Peers
Comparison fields: 5 of 52
- Infectious Diseases 402
- Modeling and Simulation 18
- Parasitology 17
- Biomedical Engineering 95
- Animal Science and Zoology 13
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 | 285 | |
| 2 | 2021 | 64 | |
| 3 | 2020 | 63 | |
| 4 | 2018 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 2 |
About Zsὁfia Iglὁi
Zsὁfia Iglὁi is a scholar working on Infectious Diseases, Modeling and Simulation, Parasitology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 9 papers that have together received 482 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), Dermatological diseases and infestations (1 paper), Zoonotic diseases and public health (1 paper), Respiratory viral infections research (1 paper) and Parasitic Infections and Diagnostics (1 paper). The work is most often cited by research in Infectious Diseases (402 citations), Modeling and Simulation (18 citations), Parasitology (17 citations), Biomedical Engineering (95 citations) and Animal Science and Zoology (13 citations). Zsὁfia Iglὁi has collaborated with scholars based in Netherlands, Belgium and Luxembourg. Frequent co-authors include Marion Koopmans, Corine Geurts van Kessel, Carmen W.E. Embregts, Annemiek A. van der Eijk, Casper Rokx, Jeroen J. A. van Kampen, Lonneke M. E. Leijten, Nisreen M.A. Okba, Brigitta M. Laksono and Johannes P. C. van den Akker. Their work appears in journals such as BMC Medicine, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Hospital Infection, Nature Communications and Eurosurveillance.
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.