Robert Shaw
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 12
- Influenza Virus Research Studies 12
- Respiratory viral infections research 12
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- Viral gastroenteritis research and epidemiology 3
- Co-authors
- Ian Barr (11 shared papers)Naomi Komadina (4 shared papers)Alan Hampson (3 shared papers)Aeron C. Hurt (5 shared papers)Natalie Caldwell (2 shared papers)R.T.P. Lin (2 shared papers)Yi‐Mo Deng (3 shared papers)Tuckweng Kok (1 shared paper)
- Journals
- Influenza and Other Respiratory Viruses (2 papers)Eurosurveillance (2 papers)Journal of Clinical Virology (2 papers)Virus Research (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- AustraliaUnited KingdomSingapore
In The Last Decade
Robert Shaw
19 papers receiving 465 citations
Peers
Comparison fields: 5 of 77
- Epidemiology 368
- Modeling and Simulation 35
- Agronomy and Crop Science 75
- Infectious Diseases 114
- Anatomy 5
Countries citing papers authored by Robert Shaw
This map shows the geographic impact of Robert Shaw'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 Robert Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Shaw more than expected).
Fields of papers citing papers by Robert Shaw
This network shows the impact of papers produced by Robert Shaw. 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 Robert Shaw. The network helps show where Robert Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Shaw, 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 | 2004 | 72 | |
| 2 | 2010 | 63 | |
| 3 | 2011 | 54 | |
| 4 | 2010 | 45 | |
| 5 | 2003 | 42 | |
| 6 | 2012 | 40 | |
| 7 | 2008 | 32 | |
| 8 | 2021 | 28 | |
| 9 | 2006 | 26 | |
| 10 | 2020 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2011 | 15 | |
| 13 | 2003 | 10 | |
| 14 | 1984 | 6 | |
| 15 | 2013 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2017 | 2 | |
| 18 | 1967 | 2 | |
| 19 | 2024 | 1 |
About Robert Shaw
Robert Shaw is a scholar working on Epidemiology, Infectious Diseases, Immunology, Agronomy and Crop Science and Family Practice, having authored 19 papers that have together received 485 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (12 papers), Animal Disease Management and Epidemiology (3 papers), Immune Response and Inflammation (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Mental Health and Psychiatry (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Epidemiology (368 citations), Modeling and Simulation (35 citations), Agronomy and Crop Science (75 citations), Infectious Diseases (114 citations) and Anatomy (5 citations). Robert Shaw has collaborated with scholars based in Australia, United Kingdom and Singapore. Frequent co-authors include Ian Barr, Naomi Komadina, Alan Hampson, Aeron C. Hurt, Natalie Caldwell, R.T.P. Lin, Yi‐Mo Deng, Tuckweng Kok, Geoff Higgins and Christopher Durrant. Their work appears in journals such as Influenza and Other Respiratory Viruses, Eurosurveillance, Journal of Clinical Virology, Virus Research and Advances in experimental medicine and biology.
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.