Lucy Catteau
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 12
- COVID-19 Clinical Research Studies 4
- Health 8
- Vaccine Coverage and Hesitancy 8
- Co-authors
- Joëlle Quetin‐Leclercq (9 shared papers)Françoise Van Bambeke (7 shared papers)Toon Braeye (9 shared papers)Veerle Stouten (9 shared papers)Joris Adriaan Frank van Loenhout (12 shared papers)Ruben Brondeel (8 shared papers)Chloé Wyndham-Thomas (8 shared papers)Herman Van Oyen (10 shared papers)
- Journals
- Viruses (4 papers)Eurosurveillance (3 papers)Vaccine (3 papers)Journal of Antimicrobial Chemotherapy (2 papers)Planta Medica (2 papers)
- Partner nations
- BelgiumBeninUnited States
In The Last Decade
Lucy Catteau
35 papers receiving 406 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 55
- Applied Microbiology and Biotechnology 17
- Infectious Diseases 149
- Health 51
- Molecular Medicine 21
Countries citing papers authored by Lucy Catteau
This map shows the geographic impact of Lucy Catteau'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 Lucy Catteau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy Catteau more than expected).
Fields of papers citing papers by Lucy Catteau
This network shows the impact of papers produced by Lucy Catteau. 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 Lucy Catteau. The network helps show where Lucy Catteau may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucy Catteau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 58 | |
| 2 | 2022 | 44 | |
| 3 | 2017 | 43 | |
| 4 | 2023 | 32 | |
| 5 | 2021 | 30 | |
| 6 | 2022 | 30 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2020 | 13 | |
| 11 | 2013 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2015 | 10 | |
| 16 | 2023 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 5 |
About Lucy Catteau
Lucy Catteau is a scholar working on Infectious Diseases, Health, Applied Microbiology and Biotechnology, Modeling and Simulation and Molecular Biology, having authored 37 papers that have together received 415 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Vaccine Coverage and Hesitancy (8 papers), COVID-19 epidemiological studies (7 papers), Antibiotic Use and Resistance (7 papers), Essential Oils and Antimicrobial Activity (6 papers), Natural product bioactivities and synthesis (5 papers), COVID-19 Clinical Research Studies (4 papers) and Ethnobotanical and Medicinal Plants Studies (3 papers). The work is most often cited by research in Modeling and Simulation (55 citations), Applied Microbiology and Biotechnology (17 citations), Infectious Diseases (149 citations), Health (51 citations) and Molecular Medicine (21 citations). Lucy Catteau has collaborated with scholars based in Belgium, Benin and United States. Frequent co-authors include Joëlle Quetin‐Leclercq, Françoise Van Bambeke, Toon Braeye, Veerle Stouten, Joris Adriaan Frank van Loenhout, Ruben Brondeel, Chloé Wyndham-Thomas, Herman Van Oyen, Koen Blot and Joshua Olson. Their work appears in journals such as Viruses, Eurosurveillance, Vaccine, Journal of Antimicrobial Chemotherapy and Planta Medica.
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.