Quentin Kaas
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Molecular Biology top 1%
- Nicotinic Acetylcholine Receptors Study
- Biochemical and Structural Characterization
- Receptor Mechanisms and Signaling
- Glycosylation and Glycoproteins Research
- Chemical Synthesis and Analysis
- Ion channel regulation and function
Papers in
-
- Nicotinic Acetylcholine Receptors Study 42
- Biochemical and Structural Characterization 36
- Receptor Mechanisms and Signaling 30
- Glycosylation and Glycoproteins Research 21
- Ion channel regulation and function 16
- Chemical Synthesis and Analysis 11
- Co-authors
- David J. CraikMarie‐Paule LefrancSébastien DutertreConan K. WangRilei YuAihua JinPaul F. AlewoodRichard J. Lewis
In The Last Decade
Quentin Kaas
104 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Microbiology 595
- Molecular Biology 4.8k
- Immunology 1.3k
- Biotechnology 365
- Radiology, Nuclear Medicine and Imaging 939
Countries citing papers authored by Quentin Kaas
This map shows the geographic impact of Quentin Kaas'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 Quentin Kaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quentin Kaas more than expected).
Fields of papers citing papers by Quentin Kaas
This network shows the impact of papers produced by Quentin Kaas. 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 Quentin Kaas. The network helps show where Quentin Kaas may publish in the future.
Co-authors
The 25 scholars most cited alongside Quentin Kaas, 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 | 2023 | 4 | |
| 3 | 2022 | 12 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 63 | |
| 8 | 2018 | 13 | |
| 9 | 2018 | 23 | |
| 10 | 2018 | 98 | |
| 11 | 2015 | 207 | |
| 12 | 2015 | 15 | |
| 13 | 2012 | 174 | |
| 14 | 2011 | 72 | |
| 15 | 2010 | 44 | |
| 16 | 2007 | 235 | |
| 17 | 2007 | 115 | |
| 18 | 2007 | 44 | |
| 19 | 2005 | 79 | |
| 20 | 2001 | 10 |
About Quentin Kaas
Quentin Kaas is a scholar working on Molecular Biology, Microbiology, Cellular and Molecular Neuroscience, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 105 papers that have together received 5.9k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (42 papers), Biochemical and Structural Characterization (36 papers), Receptor Mechanisms and Signaling (30 papers), Glycosylation and Glycoproteins Research (21 papers), Ion channel regulation and function (16 papers), Phytoplasmas and Hemiptera pathogens (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and Chemical Synthesis and Analysis (11 papers). The work is most often cited by research in Microbiology (595 citations), Molecular Biology (4.8k citations), Immunology (1.3k citations), Biotechnology (365 citations) and Radiology, Nuclear Medicine and Imaging (939 citations). Quentin Kaas has collaborated with scholars based in Australia, France and China. Frequent co-authors include David J. Craik, Marie‐Paule Lefranc, Sébastien Dutertre, Conan K. Wang, Rilei Yu, Aihua Jin, Paul F. Alewood, Richard J. Lewis, François Ehrenmann and Élodie Duprat. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Nucleic Acids Research, Scientific Reports and Nature Communications.
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.