Wim J. Quax
- Biotechnology top 0.2%
- Molecular Biology top 0.5%
- Enzyme Catalysis and Immobilization 29
- Microbial Metabolic Engineering and Bioproduction 29
- Cell death mechanisms and regulation 28
- Plant biochemistry and biosynthesis 27
- Bacterial biofilms and quorum sensing 21
- RNA Interference and Gene Delivery 19
- Molecular Medicine top 1%
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology 47
- Endocrinology top 1%
-
- Bacteriophages and microbial interactions 23
- Co-authors
- Robbert H. CoolHelga WestersH. BloemendalPol Nadal‐JimenezJan Maarten van DijlLidia WestersYvonne Quax‐JeukenGudrun Koch
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (6 papers)Journal of Biological Chemistry (8 papers)
- Partner nations
- NetherlandsGermanyCzechia
In The Last Decade
Wim J. Quax
238 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Biotechnology 1.1k
- Molecular Biology 7.4k
- Molecular Medicine 483
- Genetics 2.1k
- Endocrinology 339
Countries citing papers authored by Wim J. Quax
This map shows the geographic impact of Wim J. Quax'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 Wim J. Quax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wim J. Quax more than expected).
Fields of papers citing papers by Wim J. Quax
This network shows the impact of papers produced by Wim J. Quax. 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 Wim J. Quax. The network helps show where Wim J. Quax may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wim J. Quax, 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 | 2024 | 4 | |
| 2 | 2024 | 7 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 37 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 20 | |
| 7 | 2016 | 8 | |
| 8 | 2014 | 36 | |
| 9 | 2013 | 27 | |
| 10 | The Multiple Signaling Systems Regulating Virulence in Pseudomonas aeruginosabreakdown → | 2012 | 551 |
| 11 | 2012 | 59 | |
| 12 | 2011 | 86 | |
| 13 | 2010 | 19 | |
| 14 | 2009 | 41 | |
| 15 | Decoy-insensitive TRAIL variants kill tumour cells more efficiently without damaging non-transformed cells | 2007 | 1 |
| 16 | 2006 | 244 | |
| 17 | 2006 | 136 | |
| 18 | 2004 | 380 | |
| 19 | 2002 | 57 | |
| 20 | 1985 | 3 |
About Wim J. Quax
Wim J. Quax is a scholar working on Molecular Biology, Molecular Medicine and Biotechnology, having authored 239 papers that have together received 9.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (47 papers), Enzyme Catalysis and Immobilization (29 papers), Microbial Metabolic Engineering and Bioproduction (29 papers), Cell death mechanisms and regulation (28 papers), Plant biochemistry and biosynthesis (27 papers), Bacteriophages and microbial interactions (23 papers), Bacterial biofilms and quorum sensing (21 papers) and RNA Interference and Gene Delivery (19 papers). The work is most often cited by research in Biotechnology (1.1k citations), Molecular Biology (7.4k citations) and Molecular Medicine (483 citations). Wim J. Quax has collaborated with scholars based in Netherlands, Germany and Czechia. Frequent co-authors include Robbert H. Cool, Helga Westers, H. Bloemendal, Pol Nadal‐Jimenez, Jan Maarten van Dijl, Lidia Westers, Yvonne Quax‐Jeuken, Gudrun Koch, Niesko Pras and Sierd Bron. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.