J W ten Cate
- Hematology top 0.2%
- Internal Medicine top 0.1%
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 1%
- Epidemiology top 2%
- Co-authors
- Marcel LeviTom van der PollS J van DeventerHugo Ten CateSander J. H. van DeventerH R BüllerA.W.A. LensingAlberto Cogo
- Topics
- Blood Coagulation and Thrombosis Mechanisms (44 papers)Venous Thromboembolism Diagnosis and Management (34 papers)Immune Response and Inflammation (20 papers)
- Partner nations
- NetherlandsRussiaUnited Kingdom
In The Last Decade
J W ten Cate
166 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Hematology 2.2k
- Internal Medicine 1.9k
- Surgery 1.5k
- Cardiology and Cardiovascular Medicine 1.4k
- Epidemiology 988
Countries citing papers authored by J W ten Cate
This map shows the geographic impact of J W 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 J W 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 J W ten Cate more than expected).
Fields of papers citing papers by J W ten Cate
This network shows the impact of papers produced by J W 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 J W ten Cate. The network helps show where J W ten Cate may publish in the future.
Co-authorship network of co-authors of J W ten Cate
This figure shows the co-authorship network connecting the top 25 collaborators of J W ten Cate. A scholar is included among the top collaborators of J W 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 J W ten Cate. J W 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 | 163 | |
| 2 | 7 | |
| 3 | 327 | |
| 4 | 317 | |
| 5 | 18 | |
| 6 | 160 | |
| 7 | 359 | |
| 8 | Clinical experience with a new antithrombotic (dermatan sulfate) in chronic hemodialysis patients. | 9 |
| 9 | 5 | |
| 10 | 93 | |
| 11 | 6 | |
| 12 | 38 | |
| 13 | 10 | |
| 14 | 32 | |
| 15 | 38 | |
| 16 | A randomized blind study comparing standard heparin and a new low molecular weight heparinoid in cardiopulmonary bypass surgery in dogs. | 27 |
| 17 | 18 | |
| 18 | 8 | |
| 19 | 49 | |
| 20 | 1 |
About J W ten Cate
J W ten Cate is a scholar working on Internal Medicine, Hematology and Cardiology and Cardiovascular Medicine, having authored 168 papers that have together received 6.3k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (44 papers), Venous Thromboembolism Diagnosis and Management (34 papers) and Immune Response and Inflammation (20 papers). The work is most often cited by research in Internal Medicine (1.9k citations), Hematology (2.2k citations) and Critical Care and Intensive Care Medicine (396 citations). J W ten Cate has collaborated with scholars based in Netherlands, Russia and United Kingdom. Frequent co-authors include Marcel Levi, Tom van der Poll, S J van Deventer, Hugo Ten Cate, Sander J. H. van Deventer, H R Büller, A.W.A. Lensing, Alberto Cogo, G. N. J. Tytgat and Harry R. Büller. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Investigation.
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.