Melissa Ayers
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
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- Hepatitis B Virus Studies 2
- Respiratory viral infections research 2
- Cytomegalovirus and herpesvirus research 1
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- Viral gastroenteritis research and epidemiology 2
- COVID-19 Clinical Research Studies 1
- Co-authors
- Raymond Tellier (10 shared papers)Dena Adachi (3 shared papers)Grant Johnson (5 shared papers)Ryan Draker (2 shared papers)Martin Petric (3 shared papers)Mel Krajden (2 shared papers)Susan M. Poutanen (1 shared paper)David Rose (1 shared paper)
- Journals
- Journal of Clinical Microbiology (4 papers)American Journal of Transplantation (1 paper)Hepatology (1 paper)New England Journal of Medicine (1 paper)Journal of Virological Methods (3 papers)
- Partner nations
- CanadaUnited StatesCzechia
In The Last Decade
Melissa Ayers
11 papers receiving 1.3k citations
Melissa Ayers's Hit Papers
Peers
Comparison fields: 5 of 99
- Infectious Diseases 847
- Modeling and Simulation 152
- Parasitology 107
- Epidemiology 505
- Animal Science and Zoology 122
Countries citing papers authored by Melissa Ayers
This map shows the geographic impact of Melissa Ayers'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 Melissa Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Ayers more than expected).
Fields of papers citing papers by Melissa Ayers
This network shows the impact of papers produced by Melissa Ayers. 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 Melissa Ayers. The network helps show where Melissa Ayers may publish in the future.
Co-authors
The 25 scholars most cited alongside Melissa Ayers, 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 | Identification of Severe Acute Respiratory Syndrome in Canada Hit paper breakdown → | 2003 | 867 |
| 2 | 2005 | 192 | |
| 3 | 2003 | 101 | |
| 4 | 2007 | 64 | |
| 5 | 2006 | 54 | |
| 6 | 2004 | 44 | |
| 7 | 2008 | 15 | |
| 8 | 2007 | 8 | |
| 9 | 2002 | 8 | |
| 10 | 2003 | 4 | |
| 11 | 2009 | 1 |
About Melissa Ayers
Melissa Ayers is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Virology and Oncology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), HIV Research and Treatment (2 papers), Hepatitis B Virus Studies (2 papers), Respiratory viral infections research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 Clinical Research Studies (1 paper), Bartonella species infections research (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Infectious Diseases (847 citations), Modeling and Simulation (152 citations), Parasitology (107 citations), Epidemiology (505 citations) and Animal Science and Zoology (122 citations). Melissa Ayers has collaborated with scholars based in Canada, United States and Czechia. Frequent co-authors include Raymond Tellier, Dena Adachi, Grant Johnson, Ryan Draker, Martin Petric, Mel Krajden, Susan M. Poutanen, David Rose, Andrew E. Simor and Danuta M. Skowronski. Their work appears in journals such as Journal of Clinical Microbiology, American Journal of Transplantation, Hepatology, New England Journal of Medicine and Journal of Virological Methods.
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.