JW ten Cate

8 papers and 1.1k indexed citations i.

About

JW ten Cate is a scholar working on Immunology, Hematology and Epidemiology. According to data from OpenAlex, JW ten Cate has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 4 papers in Hematology and 3 papers in Epidemiology. Recurrent topics in JW ten Cate’s work include Immune Response and Inflammation (3 papers), S100 Proteins and Annexins (2 papers) and Blood transfusion and management (2 papers). JW ten Cate is often cited by papers focused on Immune Response and Inflammation (3 papers), S100 Proteins and Annexins (2 papers) and Blood transfusion and management (2 papers). JW ten Cate collaborates with scholars based in The Netherlands and United Kingdom. JW ten Cate's co-authors include SJ van Deventer, L Aarden, A. Sturk, C. Erik Hack, Tom van der Poll, Marcel Levi, Gertjan Wolbink, Alessandra Borchiellini, Karin Fijnvandraat and Dasja Pajkrt and has published in prestigious journals such as Blood, British Journal of Clinical Pharmacology and Transfusion.

In The Last Decade

Co-authorship network of co-authors of JW ten Cate i

Fields of papers citing papers by JW ten Cate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JW ten Cate. 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 JW ten Cate. The network helps show where JW ten Cate may publish in the future.

Countries citing papers authored by JW ten Cate

Since Specialization
Citations

This map shows the geographic impact of JW ten Cate'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 JW ten Cate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JW ten Cate more than expected).

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.

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