Willem van Schaik
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria 39
- Clinical Biochemistry top 0.1%
- Bacterial Identification and Susceptibility Testing 22
- Infectious Diseases top 0.5%
- Antimicrobial Resistance in Staphylococcus 44
- Endocrinology top 0.5%
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- Bacterial Genetics and Biotechnology 20
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- Bacterial biofilms and quorum sensing 18
- Gut microbiota and health 15
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- Probiotics and Fermented Foods 17
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- Luminescence Properties of Advanced Materials 15
- Co-authors
- Rob J. L. WillemsTjakko AbeeMarc J. M. BontenJukka CoranderLisa E. LamberteG. BlasseFrançois LebretonMalbert R. C. Rogers
- Journals
- Nucleic Acids Research (1 paper)Nature Communications (4 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Willem van Schaik
137 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Medicine 1.9k
- Clinical Biochemistry 1.3k
- Infectious Diseases 2.7k
- Endocrinology 721
- Applied Microbiology and Biotechnology 255
Countries citing papers authored by Willem van Schaik
This map shows the geographic impact of Willem van Schaik'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 Willem van Schaik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willem van Schaik more than expected).
Fields of papers citing papers by Willem van Schaik
This network shows the impact of papers produced by Willem van Schaik. 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 Willem van Schaik. The network helps show where Willem van Schaik may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Willem van Schaik, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 16 | |
| 10 | 2021 | 36 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 38 | |
| 15 | 2019 | 27 | |
| 16 | 2019 | 72 | |
| 17 | 2019 | 29 | |
| 18 | 2019 | 21 | |
| 19 | 2017 | 175 | |
| 20 | 2013 | 314 |
About Willem van Schaik
Willem van Schaik is a scholar working on Molecular Medicine, Clinical Biochemistry and Infectious Diseases, having authored 142 papers that have together received 7.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (44 papers), Antibiotic Resistance in Bacteria (39 papers), Bacterial Identification and Susceptibility Testing (22 papers), Bacterial Genetics and Biotechnology (20 papers), Bacterial biofilms and quorum sensing (18 papers), Probiotics and Fermented Foods (17 papers), Luminescence Properties of Advanced Materials (15 papers) and Gut microbiota and health (15 papers). The work is most often cited by research in Molecular Medicine (1.9k citations), Clinical Biochemistry (1.3k citations) and Infectious Diseases (2.7k citations). Willem van Schaik has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Rob J. L. Willems, Tjakko Abee, Marc J. M. Bonten, Jukka Corander, Lisa E. Lamberte, G. Blasse, François Lebreton, Malbert R. C. Rogers, Michael S. Gilmore and Anita C. Schürch. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.