Cathy Charlier

999 citations
25 papers · 722 indexed · h-index 12

Impact in

Papers in

Cathy Charlier

23 papers receiving 693 citations

Peers

Cathy Charlier
Comparison fields: 5 of 90
  • Food Science 353
  • Biotechnology 152
  • Microbiology 59
  • Infectious Diseases 141
  • Molecular Biology 377
Replace Christophe Gitton with:
Christophe Gitton France
Tom Grunert Austria
Clarisse Perrin France
Andrea Didier Germany
Magdalena Kostrzynska Canada
Juan A. Gutierrez United States
Magdalena Dąbrowska Poland
Giuseppina Cacace Italy
Marlena A. Moors United States
Elnaz Ohadi Iran
Cathy Charlier relative to Christophe Gitton France Christophe Gitton's profile →
Citations per field
00.5×3.5×
Christophe Gitton · 1×
Citations per year

Countries citing papers authored by Cathy Charlier

Since Specialization
Citations

This map shows the geographic impact of Cathy Charlier'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 Cathy Charlier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy Charlier more than expected).

Fields of papers citing papers by Cathy Charlier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cathy Charlier. 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 Cathy Charlier. The network helps show where Cathy Charlier may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Cathy Charlier, 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 Cathy Charlier Line = papers co-authored together Cathy Charlier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20232
4 20234
5 20221
6 202111
7 20205
8 20193
9 20184
10 20181
11 201729
12 20130
13 201216
14 201240
15 20111
16 201080
17 200958
18 200934
19 2008159
20 2005167

About Cathy Charlier

Cathy Charlier is a scholar working on Food Science, Radiology, Nuclear Medicine and Imaging, Biotechnology, Infectious Diseases and Hematology, having authored 25 papers that have together received 722 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Probiotics and Fermented Foods (6 papers), Advanced Biosensing Techniques and Applications (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Chemical Synthesis and Analysis (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Microbial Metabolites in Food Biotechnology (2 papers). The work is most often cited by research in Food Science (353 citations), Biotechnology (152 citations), Microbiology (59 citations), Infectious Diseases (141 citations) and Molecular Biology (377 citations). Cathy Charlier has collaborated with scholars based in France, Russia and United States. Frequent co-authors include Yves Le Loir, Sergine Even, Marina Cretenet, Michel Gautier, Sébastien Nouaille, Nouri L. Ben Zakour, Philippe Langella, Sérgio C. Oliveira, Maricê Nogueira de Oliveira and Vasco Azevedo. Their work appears in journals such as International Journal of Food Microbiology, Applied and Environmental Microbiology, Langmuir, Blood and Scientific Reports.

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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