Christine Eucher
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 14
- SARS-CoV-2 detection and testing 10
- COVID-19 Clinical Research Studies 7
-
- Animal Virus Infections Studies 2
- Co-authors
- Julien Favresse (18 shared papers)Marc Elsen (18 shared papers)Jonathan Douxfils (15 shared papers)Jean‐Michel Dogné (10 shared papers)Sandrine Van Eeckhoudt (7 shared papers)Constant Gillot (7 shared papers)Jean-Michel Dogné (5 shared papers)Marie Tré‐Hardy (4 shared papers)
- Journals
- Clinical Chemistry and Laboratory Medicine (CCLM) (5 papers)Journal of Clinical Medicine (2 papers)Viruses (2 papers)Journal of Medical Virology (2 papers)Emerging Microbes & Infections (1 paper)
- Partner nations
- Belgium
In The Last Decade
Christine Eucher
18 papers receiving 606 citations
Peers
Comparison fields: 5 of 46
- Infectious Diseases 519
- Modeling and Simulation 33
- Health 39
- Animal Science and Zoology 46
- Obstetrics and Gynecology 12
Countries citing papers authored by Christine Eucher
This map shows the geographic impact of Christine Eucher'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 Christine Eucher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Eucher more than expected).
Fields of papers citing papers by Christine Eucher
This network shows the impact of papers produced by Christine Eucher. 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 Christine Eucher. The network helps show where Christine Eucher may publish in the future.
Co-authors
The 25 scholars most cited alongside Christine Eucher, 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 | 120 | |
| 2 | 2020 | 86 | |
| 3 | 2021 | 86 | |
| 4 | 2021 | 64 | |
| 5 | 2021 | 58 | |
| 6 | 2021 | 35 | |
| 7 | 2020 | 29 | |
| 8 | 2021 | 27 | |
| 9 | 2020 | 21 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 1 |
About Christine Eucher
Christine Eucher is a scholar working on Infectious Diseases, Animal Science and Zoology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 18 papers that have together received 614 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), SARS-CoV-2 detection and testing (10 papers), COVID-19 Clinical Research Studies (7 papers), Biosensors and Analytical Detection (3 papers), Animal Virus Infections Studies (2 papers), Biotin and Related Studies (2 papers), CAR-T cell therapy research (1 paper) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Infectious Diseases (519 citations), Modeling and Simulation (33 citations), Health (39 citations), Animal Science and Zoology (46 citations) and Obstetrics and Gynecology (12 citations). Christine Eucher has collaborated with scholars based in Belgium. Frequent co-authors include Julien Favresse, Marc Elsen, Jonathan Douxfils, Jean‐Michel Dogné, Sandrine Van Eeckhoudt, Constant Gillot, Jean-Michel Dogné, Marie Tré‐Hardy, Grégoire Wieërs and Tatiana Roy. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Medicine, Viruses, Journal of Medical Virology and Emerging Microbes & Infections.
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.