Cathy Charlier

1.0k citations
24 papers · 731 · h-index 12

Impact in

Papers in

Cathy Charlier

23 papers receiving 702 citations

Peers

Cathy Charlier
Comparison fields: 5 of 88
  • Food Science 339
  • Biotechnology 144
  • Microbiology 52
  • Infectious Diseases 132
  • Molecular Biology 350
Replace Marie‐Françoise Cochet with:
Marie‐Françoise Cochet France
Tom Grunert Austria
Christophe Gitton France
Clarisse Perrin France
Magdalena Kostrzynska Canada
Shuangxi Ren China
Magdalena Dąbrowska Poland
Elnaz Ohadi Iran
Daisei Miyamoto Japan
Juan A. Gutierrez United States
Cathy Charlier relative to Marie‐Françoise Cochet France Marie‐Françoise Cochet's profile →
Citations per field
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Marie‐Françoise Cochet · 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-authors

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

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005169
2 2008160
3 201081
4 200958
5 200755
6 201240
7 200934
8 201731
9 202131
10 201216
11 201412
12 202111
13 20206
14 20205
15 20234
16 20184
17 20193
18 20243
19 20163
20 20232

About Cathy Charlier

Cathy Charlier is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Food Science, Infectious Diseases and Hematology, having authored 24 papers that have together received 731 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Biosensing Techniques and Applications (6 papers), Probiotics and Fermented Foods (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Chemical Synthesis and Analysis (2 papers), Microbial Inactivation Methods (2 papers) and Microbial Metabolites in Food Biotechnology (2 papers). The work is most often cited by research in Food Science (339 citations), Biotechnology (144 citations), Microbiology (52 citations), Infectious Diseases (132 citations) and Molecular Biology (350 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, Vasco Azevedo, Anderson Miyoshi, Valeria Guimarães and Sérgio C. Oliveira. Their work appears in journals such as Langmuir, Blood, Applied and Environmental Microbiology, International Journal of Food Microbiology and International Dairy Journal.

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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