R. ten Cate
- Hematology top 0.5%
- Speech and Hearing top 0.2%
- Rheumatology top 1%
- Surgery top 10%
- Molecular Biology
- Co-authors
- Marion A. J. van RossumLisette W. A. van Suijlekom‐SmitMarinka TwiltNico WulffraatEsther P A H HoppenreijsY. Koopman-KeeminkD. M. C. BrinkmanWineke Armbrust
- Topics
- Autoimmune and Inflammatory Disorders Research (66 papers)Adolescent and Pediatric Healthcare (36 papers)Rheumatoid Arthritis Research and Therapies (15 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
R. ten Cate
78 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 104
- Hematology 1.7k
- Speech and Hearing 771
- Rheumatology 708
- Surgery 530
- Molecular Biology 489
Countries citing papers authored by R. ten Cate
This map shows the geographic impact of R. 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 R. 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 R. ten Cate more than expected).
Fields of papers citing papers by R. ten Cate
This network shows the impact of papers produced by R. 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 R. ten Cate. The network helps show where R. ten Cate may publish in the future.
Co-authorship network of co-authors of R. ten Cate
This figure shows the co-authorship network connecting the top 25 collaborators of R. ten Cate. A scholar is included among the top collaborators of R. ten Cate 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 R. ten Cate. R. ten Cate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | Characterisation of Lipid Mediator Profile and Immune Cells in Synovial Fluid of Juvenile Idiopathic Arthritis | 1 |
| 4 | Three Treatment Strategies in Recent Onset DMARD Naive Juvenile Idiopathic Arthritis : First Results of Clinical Outcome after 24 Months | 0 |
| 5 | 58 | |
| 6 | 29 | |
| 7 | Intestinal Microbiome In Polyarticular Juvenile Idiopathic Arthritis : A PILOT Study | 2 |
| 8 | 28 | |
| 9 | Randomized Clinical Trial in Pediatric Rheumatology: Are Parents and Patients in Equipoise? | 1 |
| 10 | 117 | |
| 11 | 50 | |
| 12 | An analysis of the costs and treatment success of etanercept in Juvenile Idiopathic Arthritis | 1 |
| 13 | 54 | |
| 14 | 16 | |
| 15 | 35 | |
| 16 | 100 | |
| 17 | 108 | |
| 18 | 36 | |
| 19 | 15 | |
| 20 | 124 |
About R. ten Cate
R. ten Cate is a scholar working on Hematology, Speech and Hearing and Rheumatology, having authored 81 papers that have together received 2.5k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (66 papers), Adolescent and Pediatric Healthcare (36 papers) and Rheumatoid Arthritis Research and Therapies (15 papers). The work is most often cited by research in Hematology (1.7k citations), Speech and Hearing (771 citations) and Rheumatology (708 citations). R. ten Cate has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Marion A. J. van Rossum, Lisette W. A. van Suijlekom‐Smit, Marinka Twilt, Nico Wulffraat, Esther P A H Hoppenreijs, Y. Koopman-Keemink, D. M. C. Brinkman, Wineke Armbrust, Lidia R. Arends and M.H. Otten. Their work appears in journals such as JAMA, Journal of Allergy and Clinical Immunology and Annals of the Rheumatic Diseases.
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.