Christopher Cowled
Impact in
- Infectious Diseases top 2%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
- Virology top 5%
- Rabies epidemiology and control
Papers in
-
- Viral Infections and Vectors 20
- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Outbreaks Research 3
- Immunology 16
- interferon and immune responses 13
- Immune Response and Inflammation 4
- Co-authors
- Lin‐Fa WangMichelle L. BakerPeng ZhouCameron R. StewartMary TachedjianAndrew G. D. BeanRyan J. FarrGlenn A. Marsh
- Journals
- PLoS ONE (4 papers)BMC Genomics (3 papers)Journal of General Virology (3 papers)Scientific Reports (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- AustraliaSingaporeUnited States
In The Last Decade
Christopher Cowled
36 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Infectious Diseases 873
- Virology 134
- Immunology 396
- Ecology, Evolution, Behavior and Systematics 280
- Cancer Research 191
Countries citing papers authored by Christopher Cowled
This map shows the geographic impact of Christopher Cowled'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 Christopher Cowled with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Cowled more than expected).
Fields of papers citing papers by Christopher Cowled
This network shows the impact of papers produced by Christopher Cowled. 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 Christopher Cowled. The network helps show where Christopher Cowled may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher Cowled, 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 | 2022 | 3 | |
| 2 | 2022 | 23 | |
| 3 | 2021 | 115 | |
| 4 | 2020 | 141 | |
| 5 | 2019 | 7 | |
| 6 | 2017 | 16 | |
| 7 | 2015 | 14 | |
| 8 | 2014 | 62 | |
| 9 | 2013 | 12 | |
| 10 | 2013 | 19 | |
| 11 | 2012 | 87 | |
| 12 | 2012 | 8 | |
| 13 | 2011 | 46 | |
| 14 | 2011 | 21 | |
| 15 | 2011 | 14 | |
| 16 | 2010 | 53 | |
| 17 | 2010 | 29 | |
| 18 | 2008 | 49 | |
| 19 | 2007 | 19 | |
| 20 | 2006 | 45 |
About Christopher Cowled
Christopher Cowled is a scholar working on Infectious Diseases, Immunology, Agronomy and Crop Science, Virology and Ecology, Evolution, Behavior and Systematics, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Vectors (20 papers), interferon and immune responses (13 papers), Vector-Borne Animal Diseases (8 papers), Animal Disease Management and Epidemiology (7 papers), Virology and Viral Diseases (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Immune Response and Inflammation (4 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Infectious Diseases (873 citations), Virology (134 citations), Immunology (396 citations), Ecology, Evolution, Behavior and Systematics (280 citations) and Cancer Research (191 citations). Christopher Cowled has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Lin‐Fa Wang, Michelle L. Baker, Peng Zhou, Cameron R. Stewart, Mary Tachedjian, Andrew G. D. Bean, Ryan J. Farr, Glenn A. Marsh, Alistair Noble and James W. Wells. Their work appears in journals such as PLoS ONE, BMC Genomics, Journal of General Virology, Scientific Reports and PLoS Pathogens.
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.