Y Michel-Briand
- Molecular Biology
- Molecular Medicine top 0.5%
- Endocrinology top 1%
- Infectious Diseases top 5%
- Epidemiology top 10%
- Co-authors
- Christine BaysseD. TalonMichelle ThouverezPatrick PlésiatCatherine DuportPatrice NordmannThierry NaasE Ronco
- Topics
- Antibiotic Resistance in Bacteria (22 papers)Bacterial biofilms and quorum sensing (10 papers)Bacterial Genetics and Biotechnology (7 papers)
In The Last Decade
Y Michel-Briand
57 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 676
- Molecular Medicine 587
- Endocrinology 346
- Infectious Diseases 339
- Epidemiology 284
Countries citing papers authored by Y Michel-Briand
This map shows the geographic impact of Y Michel-Briand'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 Y Michel-Briand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y Michel-Briand more than expected).
Fields of papers citing papers by Y Michel-Briand
This network shows the impact of papers produced by Y Michel-Briand. 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 Y Michel-Briand. The network helps show where Y Michel-Briand may publish in the future.
Co-authorship network of co-authors of Y Michel-Briand
This figure shows the co-authorship network connecting the top 25 collaborators of Y Michel-Briand. A scholar is included among the top collaborators of Y Michel-Briand 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 Y Michel-Briand. Y Michel-Briand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 416 | |
| 4 | 44 | |
| 5 | 62 | |
| 6 | 4 | |
| 7 | 44 | |
| 8 | 105 | |
| 9 | 29 | |
| 10 | 14 | |
| 11 | 50 | |
| 12 | 8 | |
| 13 | 27 | |
| 14 | 187 | |
| 15 | Persistence of Pseudomonas aeruginosa strains in seven cystic fibrosis patients followed over 20 months. | 15 |
| 16 | 12 | |
| 17 | 6 | |
| 18 | 12 | |
| 19 | Extracellular neuraminidase production by a strain of Pseudomonas aeruginosa isolated from cystic fibrosis. | 28 |
| 20 | [Bacterial flora of the conjunctiva in enucleated subjects]. | 3 |
About Y Michel-Briand
Y Michel-Briand is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Bacterial biofilms and quorum sensing (10 papers) and Bacterial Genetics and Biotechnology (7 papers). The work is most often cited by research in Molecular Medicine (587 citations), Endocrinology (346 citations) and Applied Microbiology and Biotechnology (84 citations). Y Michel-Briand has collaborated with scholars based in France, Belgium and Mali. Frequent co-authors include Christine Baysse, D. Talon, Michelle Thouverez, Patrick Plésiat, Catherine Duport, Patrice Nordmann, Thierry Naas, E Ronco, Roger Labia and Michel Monod. Their work appears in journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Clinical Infectious Diseases.
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.