Yok‐Ai Que
- Microbiology top 0.5%
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 18
- Infectious Diseases top 0.5%
- Antimicrobial Resistance in Staphylococcus 21
- Epidemiology top 1%
- Infective Endocarditis Diagnosis and Management 13
- Burn Injury Management and Outcomes 11
- Sepsis Diagnosis and Treatment 10
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- Bacterial biofilms and quorum sensing 19
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- Bacteriophages and microbial interactions 16
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- Streptococcal Infections and Treatments 14
- Co-authors
- Philippe MoreillonJosé M. EntenzaLaurence G. RahmeGrégory ReschRonen HazanJacques‐Antoine HaefligerPhilippe EggimannJérôme Gabard
- Journals
- Antimicrobial Agents and Chemotherapy (5 papers)Infection and Immunity (5 papers)The Journal of Infectious Diseases (4 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Yok‐Ai Que
104 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Microbiology 784
- Molecular Medicine 561
- Infectious Diseases 1.9k
- Applied Microbiology and Biotechnology 137
- Epidemiology 1.8k
Countries citing papers authored by Yok‐Ai Que
This map shows the geographic impact of Yok‐Ai Que'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 Yok‐Ai Que with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yok‐Ai Que more than expected).
Fields of papers citing papers by Yok‐Ai Que
This network shows the impact of papers produced by Yok‐Ai Que. 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 Yok‐Ai Que. The network helps show where Yok‐Ai Que may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yok‐Ai Que, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 60 | |
| 15 | 2018 | 32 | |
| 16 | 2016 | 31 | |
| 17 | 2015 | 27 | |
| 18 | 2015 | 13 | |
| 19 | 2015 | 26 | |
| 20 | 1998 | 23 |
About Yok‐Ai Que
Yok‐Ai Que is a scholar working on Molecular Medicine, Critical Care and Intensive Care Medicine and Applied Microbiology and Biotechnology, having authored 104 papers that have together received 5.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (21 papers), Bacterial biofilms and quorum sensing (19 papers), Antibiotic Resistance in Bacteria (18 papers), Bacteriophages and microbial interactions (16 papers), Streptococcal Infections and Treatments (14 papers), Infective Endocarditis Diagnosis and Management (13 papers), Burn Injury Management and Outcomes (11 papers) and Sepsis Diagnosis and Treatment (10 papers). The work is most often cited by research in Microbiology (784 citations), Molecular Medicine (561 citations) and Infectious Diseases (1.9k citations). Yok‐Ai Que has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Philippe Moreillon, Philippe Moreillon, José M. Entenza, Laurence G. Rahme, Grégory Resch, Ronen Hazan, Jacques‐Antoine Haefliger, Philippe Eggimann, Jérôme Gabard and Patrice François. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Infection and Immunity, The Journal of Infectious Diseases, Burns and Critical Care.
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.