Fiona O’Rourke

630 citations
9 papers · 357 · h-index 7

Impact in

    • Bartonella species infections research
    • Vector-borne infectious diseases
  • Virology top 5%
    • Rabies epidemiology and control

Papers in

    • Viral Infections and Vectors 4
    • SARS-CoV-2 and COVID-19 Research 2
    • SARS-CoV-2 detection and testing 2
    • COVID-19 Clinical Research Studies 2
    • Bartonella species infections research 4

Fiona O’Rourke

8 papers receiving 348 citations

Peers

Fiona O’Rourke
Comparison fields: 5 of 62
  • Parasitology 209
  • Virology 80
  • Applied Microbiology and Biotechnology 33
  • Molecular Medicine 71
  • Infectious Diseases 181
Replace Kye‐Hyung Kim with:
Kye‐Hyung Kim South Korea
M V Borobio Spain
B. Font Spain
Üner Kayabaş Türkiye
Makhtar Camara Senegal
R Poirier France
Rajesh Bhatia India
Paul‐Henri Consigny France
Pablo Bachiller‐Luque Spain
Endalew Yizengaw Ethiopia
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Citations per field
00.5×1.5×2.4×
Kye‐Hyung Kim · 1×
Citations per year

Countries citing papers authored by Fiona O’Rourke

Since Specialization
Citations

This map shows the geographic impact of Fiona O’Rourke'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 Fiona O’Rourke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona O’Rourke more than expected).

Fields of papers citing papers by Fiona O’Rourke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona O’Rourke. 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 Fiona O’Rourke. The network helps show where Fiona O’Rourke may publish in the future.

Co-authors

The 25 scholars most cited alongside Fiona O’Rourke, 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 Fiona O’Rourke Line = papers co-authored together Fiona O’Rourke links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201697
2 201086
3 201677
4 201740
5 201121
6 201517
7 201914
8 20215
9
A Comparison of the Performance of SARS-CoV-2 Antibody Assays in Healthcare Workers with COVID-19.
20210

About Fiona O’Rourke

Fiona O’Rourke is a scholar working on Infectious Diseases, Parasitology, Virology, Molecular Medicine and Molecular Biology, having authored 9 papers that have together received 357 indexed citations. Recurring topics across this work include Bartonella species infections research (4 papers), Viral Infections and Vectors (4 papers), Rabies epidemiology and control (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 Clinical Research Studies (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Parasitology (209 citations), Virology (80 citations), Applied Microbiology and Biotechnology (33 citations), Molecular Medicine (71 citations) and Infectious Diseases (181 citations). Fiona O’Rourke has collaborated with scholars based in Germany and Ireland. Frequent co-authors include Volkhard A. J. Kempf, Dirk Linke, Patrick Kaiser, Claudia Reinheimer, Michael Hogardt, Tanja Rieß, Christian Brandt, Thomas A. Wichelhaus, Stephan Göttig and Colm Kerr. Their work appears in journals such as FEMS Microbiology Reviews, Advances in experimental medicine and biology, International Journal of Medical Microbiology, BMC Infectious Diseases 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.

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