Philippe Gueudet

736 citations
11 papers · 499 · 1 hit paper · h-index 6

Impact in

    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods
  • Microbiology top 10%
    • Bacterial Infections and Vaccines

Papers in

Philippe Gueudet

11 papers receiving 485 citations

Philippe Gueudet's Hit Papers

Clinical features and prognostic factors of listeriosis: the MONALISA national prospective cohort study 2017 · 391 citations
3910+3+6Years since publication100200300

Peers

Philippe Gueudet
Comparison fields: 5 of 72
  • Biotechnology 258
  • Microbiology 55
  • Food Science 151
  • Endocrinology 31
  • Molecular Medicine 26
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Marie-Claude Demachy France
Marie-Nadège Bachelier France
Christelle Guillet-Caruba France
Thierry Levent France
Geneviève Grise France
Michel Leneveu France
Pascale Penn France
Isabelle Frédénucci France
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Gueudet

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Gueudet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Clinical features and prognostic factors of listeriosis: the MONALISA national prospective cohort study
Hit paper breakdown →
2017391
2 200128
3 202125
4 200617
5 202111
6 20028
7 19935
8 20095
9 19964
10 19934
11 20211

About Philippe Gueudet

Philippe Gueudet is a scholar working on Molecular Medicine, Infectious Diseases, Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Epidemiology, having authored 11 papers that have together received 499 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Urinary Tract Infections Management (3 papers), Nosocomial Infections in ICU (2 papers), Antibiotic Use and Resistance (2 papers), Enterobacteriaceae and Cronobacter Research (1 paper), Biochemical and Structural Characterization (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Biotechnology (258 citations), Microbiology (55 citations), Food Science (151 citations), Endocrinology (31 citations) and Molecular Medicine (26 citations). Philippe Gueudet has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include Hugues Aumaître, Matthieu Saada, Marcelino T. Suzuki, Dominique Blanc, Alain Le Coustumier, Jérôme Etienne, François Vandenesch, Patrick B. Francioli, Roderau Outh and Sébastien Neuville. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Journal of Clinical Microbiology, BMJ Open, The Lancet Infectious Diseases and Médecine et Maladies Infectieuses.

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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