C. Lapeyre

454 citations
18 papers · 339 · h-index 10

Impact in

    • Microbial Inactivation Methods
    • Listeria monocytogenes in Food Safety
    • Probiotics and Fermented Foods
    • Food Safety and Hygiene

Papers in

C. Lapeyre

18 papers receiving 311 citations

Peers

C. Lapeyre
Comparison fields: 5 of 52
  • Biotechnology 129
  • Food Science 169
  • Infectious Diseases 104
  • Agronomy and Crop Science 47
  • Endocrinology 14
Replace Florence Guillier with:
Florence Guillier France
L. Petit France
Concordia R. Borja United States
Lucille M. Phillippe Canada
Christian A. Lenz Germany
V. Michel France
Kevin J. Shefcheck United States
Pascal Quénée France
Christopher Tauer Austria
Arturo Ramírez-Peralta Mexico
C. Lapeyre relative to Florence Guillier France Florence Guillier's profile →
Citations per field
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Florence Guillier · 1×
Citations per year

Countries citing papers authored by C. Lapeyre

Since Specialization
Citations

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

Fields of papers citing papers by C. Lapeyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside C. Lapeyre, 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 C. Lapeyre Line = papers co-authored together C. Lapeyre links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 199678
2 199864
3 199838
4 198727
5 198823
6 199719
7 199616
8 200313
9 199610
10 199610
11 19989
12 19879
13 20017
14 19876
15 20004
16 19854
17 19881
18
Methodology of study of the bioleaching of a cement matrix
20061

About C. Lapeyre

C. Lapeyre is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biotechnology, Agronomy and Crop Science and Food Science, having authored 18 papers that have together received 339 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Milk Quality and Mastitis in Dairy Cows (4 papers), Bacillus and Francisella bacterial research (3 papers), Probiotics and Fermented Foods (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Mycotoxins in Agriculture and Food (2 papers), Protein purification and stability (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Biotechnology (129 citations), Food Science (169 citations), Infectious Diseases (104 citations), Agronomy and Crop Science (47 citations) and Endocrinology (14 citations). C. Lapeyre has collaborated with scholars based in France. Frequent co-authors include C. Vernozy‐Rozand, C. Mazuy, Srini V. Kaveri, G. Perrin, J Fleurette, Michèle Bes, Y Brun, Gilles Prévost, Jean-Marc Frémy and Maurice Claisse. Their work appears in journals such as Journal of AOAC International, Analusis, International Journal of Food Microbiology, Journal of Dairy Research and Letters in Applied Microbiology.

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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