Constance d’Aubarede
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 4
- Viral gastroenteritis research and epidemiology 1
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- COVID-19 epidemiological studies 1
- Co-authors
- Quentin Semanas (1 shared paper)Geneviève Billaud (1 shared paper)Yahia Mekki (1 shared paper)Grégory Destras (1 shared paper)Sébastien Eymieux (1 shared paper)Catherine Gaudy‐Graffin (1 shared paper)Julien Marlet (1 shared paper)Laurence Josset (1 shared paper)
In The Last Decade
Constance d’Aubarede
6 papers receiving 355 citations
Peers
Comparison fields: 5 of 43
- Infectious Diseases 305
- Animal Science and Zoology 44
- Health 27
- Modeling and Simulation 13
- Immunology 27
Countries citing papers authored by Constance d’Aubarede
This map shows the geographic impact of Constance d’Aubarede'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 Constance d’Aubarede with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Constance d’Aubarede more than expected).
Fields of papers citing papers by Constance d’Aubarede
This network shows the impact of papers produced by Constance d’Aubarede. 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 Constance d’Aubarede. The network helps show where Constance d’Aubarede may publish in the future.
Co-authors
The 24 scholars most cited alongside Constance d’Aubarede, 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 | 167 | |
| 2 | 2021 | 159 | |
| 3 | 2021 | 13 | |
| 4 | 2021 | 9 | |
| 5 | 2015 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2025 | 0 |
About Constance d’Aubarede
Constance d’Aubarede is a scholar working on Infectious Diseases, Modeling and Simulation, Radiology, Nuclear Medicine and Imaging, Epidemiology and Sociology and Political Science, having authored 7 papers that have together received 362 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 detection and testing (4 papers), Viral gastroenteritis research and epidemiology (1 paper), Influenza Virus Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Workplace Violence and Bullying (1 paper). The work is most often cited by research in Infectious Diseases (305 citations), Animal Science and Zoology (44 citations), Health (27 citations), Modeling and Simulation (13 citations) and Immunology (27 citations). Constance d’Aubarede has collaborated with scholars based in France and Belgium. Frequent co-authors include Quentin Semanas, Geneviève Billaud, Yahia Mekki, Grégory Destras, Sébastien Eymieux, Catherine Gaudy‐Graffin, Julien Marlet, Laurence Josset, Claudia González and Martine Valette. Their work appears in journals such as Clinical Microbiology and Infection, Nature, npj Vaccines, Eurosurveillance and Clinical Chemistry.
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.