Nadia Liassine
- Infectious Diseases top 0.5%
- Clinical Biochemistry top 0.2%
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 2%
- Epidemiology top 10%
- Co-authors
- Jérôme ÉtienneMichèle BesFrançois VandeneschMark C. EnrightGérard LinaHelen HeffernanTimothy GreenlandGraeme R. Nimmo
- Topics
- Antimicrobial Resistance in Staphylococcus (15 papers)Antibiotic Resistance in Bacteria (8 papers)Bacterial biofilms and quorum sensing (5 papers)
- Journals
- Clinical Infectious DiseasesJournal of Clinical MicrobiologyAntimicrobial Agents and Chemotherapy
- Partner nations
- SwitzerlandFranceUnited Kingdom
In The Last Decade
Nadia Liassine
31 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Infectious Diseases 2.1k
- Clinical Biochemistry 1.1k
- Molecular Biology 1.0k
- Public Health, Environmental and Occupational Health 624
- Epidemiology 410
Countries citing papers authored by Nadia Liassine
This map shows the geographic impact of Nadia Liassine'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 Nadia Liassine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Liassine more than expected).
Fields of papers citing papers by Nadia Liassine
This network shows the impact of papers produced by Nadia Liassine. 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 Nadia Liassine. The network helps show where Nadia Liassine may publish in the future.
Co-authorship network of co-authors of Nadia Liassine
This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Liassine. A scholar is included among the top collaborators of Nadia Liassine 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 Nadia Liassine. Nadia Liassine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 61 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | Pneumonia and new methicillin-resistant Staphylococcus aureus clone. | 4 |
| 10 | 4 | |
| 11 | 107 | |
| 12 | 15 | |
| 13 | 4 | |
| 14 | 157 | |
| 15 | 14 | |
| 16 | 227 | |
| 17 | 49 | |
| 18 | 55 | |
| 19 | 8 | |
| 20 | 4 |
About Nadia Liassine
Nadia Liassine is a scholar working on Microbiology, Molecular Medicine and Infectious Diseases, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (15 papers), Antibiotic Resistance in Bacteria (8 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Clinical Biochemistry (1.1k citations), Infectious Diseases (2.1k citations) and Molecular Medicine (229 citations). Nadia Liassine has collaborated with scholars based in Switzerland, France and United Kingdom. Frequent co-authors include Jérôme Étienne, Michèle Bes, François Vandenesch, Mark C. Enright, Gérard Lina, Helen Heffernan, Timothy Greenland, Graeme R. Nimmo, M.E. Reverdy and Timothy S. Naimi. Their work appears in journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.
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.