Michaël Mourez
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Molecular Biology top 5%
- Bacillus and Francisella bacterial research
- Bacterial biofilms and quorum sensing
- Protein Structure and Dynamics
Papers in
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- Escherichia coli research studies 25
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- Antimicrobial Peptides and Activities 3
- Co-authors
- R. John Collier (10 shared papers)Jeremy Mogridge (5 shared papers)Kenneth A. Bradley (1 shared paper)John A. T. Young (1 shared paper)Elie Dassa (6 shared papers)Bret R. Sellman (3 shared papers)Marie‐Ève Charbonneau (10 shared papers)Dana Borden Lacy (4 shared papers)
- Journals
- Journal of Bacteriology (9 papers)Molecular Microbiology (5 papers)Journal of Biological Chemistry (4 papers)Research in Microbiology (4 papers)PLoS ONE (3 papers)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Michaël Mourez
61 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 104
- Endocrinology 358
- Molecular Biology 1.8k
- Microbiology 108
- Immunology 297
- Genetics 427
Countries citing papers authored by Michaël Mourez
This map shows the geographic impact of Michaël Mourez'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 Michaël Mourez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Mourez more than expected).
Fields of papers citing papers by Michaël Mourez
This network shows the impact of papers produced by Michaël Mourez. 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 Michaël Mourez. The network helps show where Michaël Mourez may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaël Mourez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 730 | |
| 2 | 2001 | 228 | |
| 3 | 1997 | 173 | |
| 4 | 2002 | 162 | |
| 5 | 2001 | 157 | |
| 6 | 2003 | 100 | |
| 7 | 2002 | 87 | |
| 8 | 2000 | 76 | |
| 9 | 2001 | 76 | |
| 10 | 2003 | 76 | |
| 11 | 2013 | 75 | |
| 12 | 2011 | 72 | |
| 13 | 2004 | 69 | |
| 14 | 2007 | 63 | |
| 15 | 2002 | 60 | |
| 16 | 2012 | 51 | |
| 17 | 2017 | 49 | |
| 18 | 2006 | 48 | |
| 19 | 2014 | 47 | |
| 20 | 2006 | 43 |
About Michaël Mourez
Michaël Mourez is a scholar working on Endocrinology, Microbiology, Genetics, Molecular Medicine and Oncology, having authored 62 papers that have together received 3.2k indexed citations. Recurring topics across this work include Escherichia coli research studies (25 papers), Bacterial Genetics and Biotechnology (11 papers), Bacillus and Francisella bacterial research (10 papers), Drug Transport and Resistance Mechanisms (9 papers), Antibiotic Resistance in Bacteria (5 papers), Antimicrobial Peptides and Activities (3 papers), Biochemical and Structural Characterization (3 papers) and Antibiotic Use and Resistance (2 papers). The work is most often cited by research in Endocrinology (358 citations), Molecular Biology (1.8k citations), Microbiology (108 citations), Immunology (297 citations) and Genetics (427 citations). Michaël Mourez has collaborated with scholars based in Canada, France and United States. Frequent co-authors include R. John Collier, Jeremy Mogridge, Kenneth A. Bradley, John A. T. Young, Elie Dassa, Bret R. Sellman, Marie‐Ève Charbonneau, Dana Borden Lacy, Frédéric Berthiaume and Maurice J. Hofnung. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Journal of Biological Chemistry, Research in Microbiology 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.