Natalie Spirason

552 citations
10 papers · 190 · h-index 8

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors

Papers in

    • Influenza Virus Research Studies 10
    • Respiratory viral infections research 10
    • Pneumonia and Respiratory Infections 1
    • Animal Disease Management and Epidemiology 4

Natalie Spirason

10 papers receiving 188 citations

Peers

Natalie Spirason
Comparison fields: 5 of 43
  • Epidemiology 157
  • Infectious Diseases 77
  • Agronomy and Crop Science 41
  • Modeling and Simulation 9
  • Animal Science and Zoology 11
Replace Ketaki Ganti with:
Ketaki Ganti United States
Chung-Young Lee South Korea
Miruna E. Rosu Netherlands
Christine Eng Singapore
Erin Hodges United States
Randall Dahn Japan
Udayan Joseph Singapore
Anne Günther Germany
Yipu Lin United Kingdom
Caroline Picard France
Natalie Spirason relative to Ketaki Ganti United States Ketaki Ganti's profile →
Citations per field
00.5×5.5×
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Citations per year

Countries citing papers authored by Natalie Spirason

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Spirason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie Spirason. 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 Natalie Spirason. The network helps show where Natalie Spirason may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201540
2 201633
3 201733
4 201525
5 201918
6 201614
7 202011
8 20249
9 20235
10 20172

About Natalie Spirason

Natalie Spirason is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 190 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Respiratory viral infections research (10 papers), Animal Disease Management and Epidemiology (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Blood groups and transfusion (1 paper), RNA and protein synthesis mechanisms (1 paper), Viral Infections and Immunology Research (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Epidemiology (157 citations), Infectious Diseases (77 citations), Agronomy and Crop Science (41 citations), Modeling and Simulation (9 citations) and Animal Science and Zoology (11 citations). Natalie Spirason has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Ian Barr, Yi‐Mo Deng, Lauren Jelley, Pina Iannello, Sheena G. Sullivan, Dhanasekaran Vijaykrishna, Heidi Peck, Heath Kelly, Malet Aban and Edward C. Holmes. Their work appears in journals such as Journal of Clinical Virology, PLoS Pathogens, Influenza and Other Respiratory Viruses, Journal of Clinical Microbiology and Journal of Virology.

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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