M Guibert

1.0k citations
45 papers · 799 · h-index 14

Impact in

Papers in

M Guibert

42 papers receiving 755 citations

Peers

M Guibert
Comparison fields: 5 of 85
  • Molecular Medicine 405
  • Endocrinology 217
  • Applied Microbiology and Biotechnology 25
  • Infectious Diseases 126
  • Pollution 73
Replace Mariana Catalano with:
Mariana Catalano Argentina
Lifen Hu China
Nadia Hidri France
Carol Webster United Kingdom
Claire Heney Australia
Gerhard F. Weldhagen South Africa
Lucien Brasme France
A Elaichouni Belgium
Sibel Gündeş Türkiye
Claire Perry United Kingdom
M Guibert relative to Mariana Catalano Argentina Mariana Catalano's profile →
Citations per field
00.5×1.6×
Mariana Catalano · 1×
Citations per year

Countries citing papers authored by M Guibert

Since Specialization
Citations

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

Fields of papers citing papers by M Guibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999196
2 1999102
3 200572
4 199960
5 200232
6 200930
7 200727
8 201021
9 199721
10 200020
11 200619
12 200318
13 199516
14 200016
15 201212
16 202012
17 198611
18 201311
19 199011
20 200111

About M Guibert

M Guibert is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Plant Science, Molecular Medicine and Infectious Diseases, having authored 45 papers that have together received 799 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Streptococcal Infections and Treatments (5 papers), Neonatal and Maternal Infections (5 papers), Pneumonia and Respiratory Infections (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Genetic and Environmental Crop Studies (4 papers), Plant Disease Resistance and Genetics (4 papers) and Plant Pathogens and Resistance (4 papers). The work is most often cited by research in Molecular Medicine (405 citations), Endocrinology (217 citations), Applied Microbiology and Biotechnology (25 citations), Infectious Diseases (126 citations) and Pollution (73 citations). M Guibert has collaborated with scholars based in France, Türkiye and United Kingdom. Frequent co-authors include Patrice Nordmann, Thierry Naas, Laurent Poirel, Roger Labia, El Bachir Chaibi, Delphine Girlich, Jean‐Fabien Zazzo, Gilles Troché, Samuel Bellais and Frédéric Suffert. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Plant Pathology, Acta Paediatrica, Journal of Clinical Microbiology and Applied and Environmental 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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