Mickaël Fleury

1.1k total citations · 1 hit paper
9 papers, 781 citations indexed

About

Mickaël Fleury is a scholar working on Molecular Medicine, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Mickaël Fleury has authored 9 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Medicine, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Mickaël Fleury's work include Antibiotic Resistance in Bacteria (6 papers), Gut microbiota and health (3 papers) and Animal Nutrition and Physiology (2 papers). Mickaël Fleury is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Gut microbiota and health (3 papers) and Animal Nutrition and Physiology (2 papers). Mickaël Fleury collaborates with scholars based in France and Belgium. Mickaël Fleury's co-authors include Stéphanie Blanquet‐Diot, Tom Van de Wiele, Évelyne Forano, Raphaële Gresse, Éric Jouy, Isabelle Kempf, Jean-Yves Madec, Pascal Sandérs, Djamel Drider and Claire Chauvin and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Applied Microbiology and Biotechnology and Trends in Microbiology.

In The Last Decade

Mickaël Fleury

8 papers receiving 764 citations

Hit Papers

Gut Microbiota Dysbiosis in Postweaning Piglets: Understa... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mickaël Fleury France 6 399 321 225 186 138 9 781
Lenka Dávidová‐Geržová Czechia 13 327 0.8× 290 0.9× 222 1.0× 182 1.0× 121 0.9× 18 681
Xianhua Yin Canada 18 239 0.6× 203 0.6× 276 1.2× 178 1.0× 127 0.9× 40 820
Wafaa A. Abd El‐Ghany Egypt 15 168 0.4× 314 1.0× 240 1.1× 86 0.5× 137 1.0× 86 801
Daniela Karasová Czechia 19 420 1.1× 339 1.1× 497 2.2× 280 1.5× 61 0.4× 39 954
L. Heres Netherlands 16 160 0.4× 504 1.6× 413 1.8× 130 0.7× 47 0.3× 40 929
Bert A.P. Urlings Netherlands 12 244 0.6× 516 1.6× 391 1.7× 140 0.8× 38 0.3× 23 898
Narciso M. Quijada Spain 17 366 0.9× 86 0.3× 254 1.1× 126 0.7× 132 1.0× 32 859
C. Schneitz Finland 17 161 0.4× 500 1.6× 464 2.1× 194 1.0× 52 0.4× 20 872
Hana Havlíčková Czechia 21 404 1.0× 556 1.7× 799 3.6× 394 2.1× 117 0.8× 37 1.3k
Magdaléna Crhánová Czechia 14 359 0.9× 427 1.3× 367 1.6× 214 1.2× 27 0.2× 30 822

Countries citing papers authored by Mickaël Fleury

Since Specialization
Citations

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

Fields of papers citing papers by Mickaël Fleury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mickaël Fleury

This figure shows the co-authorship network connecting the top 25 collaborators of Mickaël Fleury. A scholar is included among the top collaborators of Mickaël Fleury based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mickaël Fleury. Mickaël Fleury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Gresse, Raphaële, et al.. (2017). Gut Microbiota Dysbiosis in Postweaning Piglets: Understanding the Keys to Health. Trends in Microbiology. 25(10). 851–873. 599 indexed citations breakdown →
2.
Pétry, Sandrine, Corinne Sévin, Mickaël Fleury, et al.. (2017). Differential distribution of vapA ‐positive Rhodococcus equi in affected and unaffected horse‐breeding farms. Veterinary Record. 181(6). 145–145. 4 indexed citations
3.
Fleury, Mickaël, Olivier Le Goff, Sylvain Denis, et al.. (2017). Development and validation of a new dynamic in vitro model of the piglet colon (PigutIVM): application to the study of probiotics. Applied Microbiology and Biotechnology. 101(6). 2533–2547. 16 indexed citations
4.
Fleury, Mickaël, Éric Jouy, F. Eono, et al.. (2016). Impact of two different colistin dosing strategies on healthy piglet fecal microbiota. Research in Veterinary Science. 107. 152–160. 17 indexed citations
5.
Touzain, Fabrice, et al.. (2016). Rare Spontaneous Loss of Multiresistance Gene Carrying IncI/ST12 Plasmid in Escherichia coli in Pig Microbiota. Antimicrobial Agents and Chemotherapy. 60(10). 6046–6049. 5 indexed citations
6.
Fleury, Mickaël, et al.. (2016). Escherichia coli Probiotic Strain ED1a in Pigs Has a Limited Impact on the Gut Carriage of Extended-Spectrum-β-Lactamase-Producing E. coli. Antimicrobial Agents and Chemotherapy. 61(1). 8 indexed citations
7.
Fleury, Mickaël, Éric Jouy, Fabrice Touzain, et al.. (2015). Impact of Ceftiofur Injection on Gut Microbiota and Escherichia coli Resistance in Pigs. Antimicrobial Agents and Chemotherapy. 59(9). 5171–5180. 20 indexed citations
8.
Kempf, Isabelle, Mickaël Fleury, Djamel Drider, et al.. (2013). What do we know about resistance to colistin in Enterobacteriaceae in avian and pig production in Europe?. International Journal of Antimicrobial Agents. 42(5). 379–383. 112 indexed citations

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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