Adriana Peci
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 4
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 6
- SARS-CoV-2 and COVID-19 Research 2
- Tuberculosis Research and Epidemiology 2
- Epidemiology top 10%
- Respiratory viral infections research 13
- Influenza Virus Research Studies 11
- Pneumonia and Respiratory Infections 3
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- Viral Infections and Immunology Research 4
- Co-authors
- Jonathan B. GubbayAnne‐Luise WinterAndrea GranadosDaniel S. FarrarChristina BancejPierre‐Philippe Piché‐RenaudShaun K. MorrisAllison McGeer
- Journals
- PLoS ONE (2 papers)Applied and Environmental Microbiology (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Adriana Peci
24 papers receiving 586 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 96
- Infectious Diseases 249
- Epidemiology 375
- Endocrinology 30
- Health 38
Countries citing papers authored by Adriana Peci
This map shows the geographic impact of Adriana Peci'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 Adriana Peci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriana Peci more than expected).
Fields of papers citing papers by Adriana Peci
This network shows the impact of papers produced by Adriana Peci. 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 Adriana Peci. The network helps show where Adriana Peci may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adriana Peci, 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 | 2021 | 5 | |
| 2 | 2021 | 28 | |
| 3 | Decreased hepatitis B and C testing in Ontario, Canada during the first wave of the COVID-19 pandemic | 2021 | 1 |
| 4 | The impact of the COVID-19 pandemic on influenza, respiratory syncytial virus, and other seasonal respiratory virus circulation in Canada: A population-based studybreakdown → | 2021 | 168 |
| 5 | 2021 | 3 | |
| 6 | 2019 | 83 | |
| 7 | 2018 | 5 | |
| 8 | 2018 | 4 | |
| 9 | 2017 | 28 | |
| 10 | 2016 | 32 | |
| 11 | 2016 | 68 | |
| 12 | 2015 | 9 | |
| 13 | 2015 | 12 | |
| 14 | 2015 | 10 | |
| 15 | 2014 | 6 | |
| 16 | 2013 | 48 | |
| 17 | 2013 | 0 | |
| 18 | 2012 | 5 | |
| 19 | 2012 | 19 | |
| 20 | 2012 | 1 |
About Adriana Peci
Adriana Peci is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 25 papers that have together received 597 indexed citations. Recurring topics across this work include Respiratory viral infections research (13 papers), Influenza Virus Research Studies (11 papers), Viral gastroenteritis research and epidemiology (6 papers), COVID-19 epidemiological studies (4 papers), Viral Infections and Immunology Research (4 papers), Pneumonia and Respiratory Infections (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (96 citations), Infectious Diseases (249 citations) and Epidemiology (375 citations). Adriana Peci has collaborated with scholars based in Canada and United States. Frequent co-authors include Jonathan B. Gubbay, Anne‐Luise Winter, Andrea Granados, Daniel S. Farrar, Christina Bancej, Pierre‐Philippe Piché‐Renaud, Shaun K. Morris, Allison McGeer, Helen Groves and Claire Sevenhuysen. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Clinical Infectious Diseases.
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.