Christine Eucher

960 citations
14 papers · 500 · h-index 11

Impact in

Papers in

Christine Eucher

14 papers receiving 493 citations

Peers

Christine Eucher
Comparison fields: 5 of 39
  • Infectious Diseases 435
  • Modeling and Simulation 33
  • Health 38
  • Animal Science and Zoology 42
  • Obstetrics and Gynecology 10
Replace Sandrine Van Eeckhoudt with:
Sandrine Van Eeckhoudt Belgium
Constant Gillot Belgium
Diane Yang United States
Yannick Galipeau Canada
Samuel Rigby United Kingdom
Einav Sapir Israel
Stéphane Marot France
Wai Hung Chan Hong Kong
Saman Saadat United States
Disha Bhavsar United States
Christine Eucher relative to Sandrine Van Eeckhoudt Belgium Sandrine Van Eeckhoudt's profile →
Citations per field
00.5×10×17×
Sandrine Van Eeckhoudt · 1×
Citations per year

Countries citing papers authored by Christine Eucher

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Christine Eucher Line = papers co-authored together Christine Eucher links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2021115
2 202185
3 202165
4 202159
5 202137
6 202127
7 202027
8 202021
9 202021
10 202014
11 202212
12 20209
13 20215
14 20223

About Christine Eucher

Christine Eucher is a scholar working on Infectious Diseases, Animal Science and Zoology, Biomedical Engineering, Surgery and Molecular Biology, having authored 14 papers that have together received 500 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), SARS-CoV-2 detection and testing (9 papers), COVID-19 Clinical Research Studies (7 papers), Biosensors and Analytical Detection (2 papers), Animal Virus Infections Studies (2 papers), Vitamin D Research Studies (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Infectious Diseases (435 citations), Modeling and Simulation (33 citations), Health (38 citations), Animal Science and Zoology (42 citations) and Obstetrics and Gynecology (10 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, Grégoire Wieërs, Tatiana Roy, Jean‐Louis Bayart and François Mullier. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Medical Virology, Viruses, Journal of Clinical Medicine and Vaccines.

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.

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