Zsὁfia Iglὁi

743 citations
9 papers · 422 · h-index 7

Impact in

Papers in

    • SARS-CoV-2 detection and testing 6
    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 1
    • Amoebic Infections and Treatments 1
    • Dermatological diseases and infestations 1

Zsὁfia Iglὁi

9 papers receiving 419 citations

Peers

Zsὁfia Iglὁi
Comparison fields: 5 of 53
  • Infectious Diseases 356
  • Modeling and Simulation 14
  • Parasitology 17
  • Biomedical Engineering 90
  • Obstetrics and Gynecology 8
Replace Jihye Um with:
Jihye Um South Korea
Ashley Bailey Canada
Maggie Li United States
Seth A. Hawks United States
Rebeca Santano Spain
Felicity J. Coulter United States
Swagata Kar United States
Sandrine Poujois Spain
Qiongshu Wang China
Guomei Kou China
Zsὁfia Iglὁi relative to Jihye Um South Korea Jihye Um's profile →
Citations per field
00.5×4.3×
Jihye Um · 1×
Citations per year

Countries citing papers authored by Zsὁfia Iglὁi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Zsὁfia Iglὁi Line = papers co-authored together Zsὁfia Iglὁi links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020235
2 202163
3 202061
4 201818
5 202115
6 202215
7 20229
8 20224
9 20232

About Zsὁfia Iglὁi

Zsὁfia Iglὁi is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 9 papers that have together received 422 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), Amoebic Infections and Treatments (1 paper), Dermatological diseases and infestations (1 paper), Zoonotic diseases and public health (1 paper), Biosensors and Analytical Detection (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Infectious Diseases (356 citations), Modeling and Simulation (14 citations), Parasitology (17 citations), Biomedical Engineering (90 citations) and Obstetrics and Gynecology (8 citations). Zsὁfia Iglὁi has collaborated with scholars based in Netherlands, Belgium and Uganda. Frequent co-authors include Marion Koopmans, Corine H. GeurtsvanKessel, Richard Molenkamp, Bart Rijnders, Lonneke Leijten, Casper Rokx, Nisreen M.A. Okba, Brigitta M. Laksono, Janette Rahamat‐Langendoen and Carmen W.E. Embregts. Their work appears in journals such as BMC Medicine, Nature Communications, Eurosurveillance, Emerging infectious diseases and Journal of Hospital Infection.

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.

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