Celine E. Snedden
Impact in
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
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- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
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- SARS-CoV-2 and COVID-19 Research 2
- SARS-CoV-2 detection and testing 1
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- Zoonotic diseases and public health 2
- Mathematical and Theoretical Epidemiology and Ecology Models 1
- Co-authors
- Sonia Altizer (1 shared paper)Daniel J. Becker (1 shared paper)Richard J. Hall (1 shared paper)James O. Lloyd‐Smith (3 shared papers)Amandine Gamble (2 shared papers)Yao Yu Yeo (1 shared paper)Hector C. Aguilar (1 shared paper)John Bingham (1 shared paper)
- Journals
- Scientific Reports (1 paper)Viruses (1 paper)Trends in Microbiology (1 paper)PLoS Pathogens (1 paper)The American Naturalist (1 paper)
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
Celine E. Snedden
6 papers receiving 264 citations
Celine E. Snedden's Hit Papers
Peers
Comparison fields: 5 of 46
- Animal Science and Zoology 67
- Infectious Diseases 100
- Parasitology 20
- Public Health, Environmental and Occupational Health 73
- Ecology, Evolution, Behavior and Systematics 29
Countries citing papers authored by Celine E. Snedden
This map shows the geographic impact of Celine E. Snedden'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 Celine E. Snedden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celine E. Snedden more than expected).
Fields of papers citing papers by Celine E. Snedden
This network shows the impact of papers produced by Celine E. Snedden. 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 Celine E. Snedden. The network helps show where Celine E. Snedden may publish in the future.
Co-authors
The 11 scholars most cited alongside Celine E. Snedden, 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 | Ecology, evolution and spillover of coronaviruses from bats Hit paper breakdown → | 2021 | 195 |
| 2 | 2018 | 19 | |
| 3 | 2023 | 19 | |
| 4 | 2021 | 17 | |
| 5 | 2021 | 14 | |
| 6 | 2024 | 1 |
About Celine E. Snedden
Celine E. Snedden is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Parasitology, Animal Science and Zoology and Ecology, having authored 6 papers that have together received 265 indexed citations. Recurring topics across this work include Zoonotic diseases and public health (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (1 paper), Wildlife Ecology and Conservation (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Animal Virus Infections Studies (1 paper), Leptospirosis research and findings (1 paper) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Animal Science and Zoology (67 citations), Infectious Diseases (100 citations), Parasitology (20 citations), Public Health, Environmental and Occupational Health (73 citations) and Ecology, Evolution, Behavior and Systematics (29 citations). Celine E. Snedden has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Sonia Altizer, Daniel J. Becker, Richard J. Hall, James O. Lloyd‐Smith, Amandine Gamble, Yao Yu Yeo, Hector C. Aguilar, John Bingham, Michael E. Alfaro and Rachel V. Blakey. Their work appears in journals such as Scientific Reports, Viruses, Trends in Microbiology, PLoS Pathogens and The American Naturalist.
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.