Karine Praud

1.4k citations
23 papers · 1.0k · h-index 16

Impact in

    • Antibiotic Resistance in Bacteria
    • Vibrio bacteria research studies
    • Escherichia coli research studies
    • Enterobacteriaceae and Cronobacter Research

Papers in

Karine Praud

22 papers receiving 972 citations

Peers

Karine Praud
Comparison fields: 5 of 47
  • Molecular Medicine 748
  • Endocrinology 377
  • Food Science 603
  • Pollution 206
  • Ecology 193
Replace Vanesa García with:
Vanesa García Spain
Elisabeth Chaslus-Dancla France
Ana Herrero-Fresno Denmark
Stuart A. Gaines United States
Yves Millemann France
Janine Beutlich Germany
Mohammed Elbediwi China
Ama Szmolka Hungary
Daniel F. M. Monte Brazil
Migma Dorji Tamang South Korea
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Citations per field
00.5×6.7×
Vanesa García · 1×
Citations per year

Countries citing papers authored by Karine Praud

Since Specialization
Citations

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

Fields of papers citing papers by Karine Praud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006118
2 2004118
3 2010102
4 200799
5 200481
6 200866
7 200855
8 200554
9 200753
10 201048
11 201245
12 201230
13 201326
14 201923
15 200623
16 201922
17
The use of molecular markers for durable resistance breeding in the cultivated strawberry (Fragaria x ananassa)
200012
18 202210
19 200210
20 20168

About Karine Praud

Karine Praud is a scholar working on Molecular Medicine, Food Science, Endocrinology, Ecology and Molecular Biology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Salmonella and Campylobacter epidemiology (16 papers), Bacteriophages and microbial interactions (5 papers), Vibrio bacteria research studies (5 papers), Berry genetics and cultivation research (3 papers), Bacterial biofilms and quorum sensing (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers) and Plant Physiology and Cultivation Studies (3 papers). The work is most often cited by research in Molecular Medicine (748 citations), Endocrinology (377 citations), Food Science (603 citations), Pollution (206 citations) and Ecology (193 citations). Karine Praud has collaborated with scholars based in France, Belgium and Canada. Frequent co-authors include Axel Cloeckaert, Benoît Doublet, François‐Xavier Weill, Sophie Bertrand, Jean‐Marc Collard, Patrick A. D. Grimont, Patrick Butaye, Anne Brisabois, Hein Imberechts and Alessia Bertini. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Journal of Clinical Microbiology, International Journal of Antimicrobial Agents and PLoS ONE.

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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