Willem van Schaik
- Molecular Biology top 2%
- Infectious Diseases top 0.5%
- Molecular Medicine top 0.1%
- Clinical Biochemistry top 0.1%
- Food Science top 0.5%
- Co-authors
- Rob J. L. WillemsTjakko AbeeMarc J. M. BontenJukka CoranderLisa E. LamberteG. BlasseFrançois LebretonMalbert R. C. Rogers
- Topics
- Antimicrobial Resistance in Staphylococcus (44 papers)Antibiotic Resistance in Bacteria (39 papers)Bacterial Identification and Susceptibility Testing (22 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
- 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 Biology 3.2k
- Infectious Diseases 2.7k
- Molecular Medicine 1.9k
- Clinical Biochemistry 1.3k
- Food Science 1.3k
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 of co-authors of Willem van Schaik
This figure shows the co-authorship network connecting the top 25 collaborators of Willem van Schaik. A scholar is included among the top collaborators of Willem van Schaik 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 Willem van Schaik. Willem van Schaik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 16 | |
| 10 | 36 | |
| 11 | 16 | |
| 12 | 20 | |
| 13 | 16 | |
| 14 | 38 | |
| 15 | 27 | |
| 16 | 72 | |
| 17 | 29 | |
| 18 | 21 | |
| 19 | 175 | |
| 20 | 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) and Bacterial Identification and Susceptibility Testing (22 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.