Kim O’Riley

401 citations
9 papers · 214 · h-index 8

Impact in

Papers in

    • Viral Infections and Vectors 4
    • Viral gastroenteritis research and epidemiology 3
    • Influenza Virus Research Studies 5
    • Virology and Viral Diseases 3
    • Respiratory viral infections research 1

Kim O’Riley

9 papers receiving 207 citations

Peers

Kim O’Riley
Comparison fields: 5 of 24
  • Agronomy and Crop Science 133
  • Infectious Diseases 126
  • Epidemiology 156
  • Animal Science and Zoology 33
  • Modeling and Simulation 13
Replace Akiko Kamata with:
Akiko Kamata Italy
Audrey Schmitz France
Kazuaki Miyagishima Switzerland
Karthik Shanmuganatham United States
Atanaska Marinova‐Petkova United States
Gui‐Rong Bai Japan
C. Benigno Thailand
Sylvia B.E. Pritz-Verschuren Netherlands
Alessandra Drago Italy
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Kim O’Riley relative to Akiko Kamata Italy Akiko Kamata's profile →
Citations per field
00.5×3.7×
Akiko Kamata · 1×
Citations per year

Countries citing papers authored by Kim O’Riley

Since Specialization
Citations

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

Fields of papers citing papers by Kim O’Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201058
2 200432
3 201630
4 201328
5 202020
6 201317
7 202213
8 20029
9 20217

About Kim O’Riley

Kim O’Riley is a scholar working on Infectious Diseases, Epidemiology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 9 papers that have together received 214 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Animal Disease Management and Epidemiology (4 papers), Viral Infections and Vectors (4 papers), Virology and Viral Diseases (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Vector-Borne Animal Diseases (2 papers), Animal Virus Infections Studies (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Agronomy and Crop Science (133 citations), Infectious Diseases (126 citations), Epidemiology (156 citations), Animal Science and Zoology (33 citations) and Modeling and Simulation (13 citations). Kim O’Riley has collaborated with scholars based in Australia, Singapore and Timor-Leste. Frequent co-authors include Simone Warner, Aeron C. Hurt, Philip M. Hansbro, Dhanasekaran Vijaykrishna, Peter D. Kirkland, KE ARZEY, John P. Tracey, Björn Olsén, Emma Beckett and Paul Selleck. Their work appears in journals such as Australian Veterinary Journal, Viruses, Scientific Reports, Journal of Veterinary Diagnostic Investigation and Emerging infectious diseases.

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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