Natalie Spirason
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
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- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
- Epidemiology 12
- Influenza Virus Research Studies 12
- Respiratory viral infections research 7
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- Animal Disease Management and Epidemiology 2
- Co-authors
- Ian Barr (10 shared papers)Yi‐Mo Deng (9 shared papers)Lauren Jelley (2 shared papers)Pina Iannello (1 shared paper)Heidi Peck (3 shared papers)Sheena G. Sullivan (2 shared papers)Dhanasekaran Vijaykrishna (2 shared papers)Chantal Baas (1 shared paper)
- Journals
- Journal of Clinical Virology (2 papers)Influenza and Other Respiratory Viruses (1 paper)Journal of Clinical Microbiology (1 paper)PLoS Pathogens (1 paper)eLife (1 paper)
- Partner nations
- AustraliaUnited StatesSingapore
In The Last Decade
Natalie Spirason
12 papers receiving 391 citations
Peers
Comparison fields: 5 of 52
- Epidemiology 326
- Infectious Diseases 121
- Agronomy and Crop Science 52
- Modeling and Simulation 21
- Endocrinology 13
Countries citing papers authored by Natalie Spirason
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 175 | |
| 2 | 2016 | 50 | |
| 3 | 2015 | 42 | |
| 4 | 2017 | 38 | |
| 5 | 2015 | 27 | |
| 6 | 2019 | 20 | |
| 7 | 2016 | 16 | |
| 8 | 2024 | 13 | |
| 9 | 2020 | 11 | |
| 10 | 2023 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2017 | 3 |
About Natalie Spirason
Natalie Spirason is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Hematology and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 404 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (2 papers), Animal Disease Management and Epidemiology (2 papers), Blood groups and transfusion (1 paper), RNA and protein synthesis mechanisms (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Epidemiology (326 citations), Infectious Diseases (121 citations), Agronomy and Crop Science (52 citations), Modeling and Simulation (21 citations) and Endocrinology (13 citations). Natalie Spirason has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Ian Barr, Yi‐Mo Deng, Lauren Jelley, Pina Iannello, Heidi Peck, Sheena G. Sullivan, Dhanasekaran Vijaykrishna, Chantal Baas, Malet Aban and Daniel González‐Acuña. Their work appears in journals such as Journal of Clinical Virology, Influenza and Other Respiratory Viruses, Journal of Clinical Microbiology, PLoS Pathogens and eLife.
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.