J. van de Ven
- Genetics top 10%
- Physiology top 10%
- Emergency Medicine top 5%
- Molecular Biology
- Oncology
- Co-authors
- Saskia HoutermanS. Guid OeiBen W. MolAshley MeriénMarinus A. BlankensteinP. H. Th. J. SleeP.C. de JongJ.H.H. Thijssen
- Topics
- Estrogen and related hormone effects (7 papers)Simulation-Based Education in Healthcare (5 papers)Urbanization and City Planning (4 papers)
- Partner nations
- NetherlandsAustraliaPoland
In The Last Decade
J. van de Ven
25 papers receiving 938 citations
Peers
Comparison fields: 5 of 101
- Genetics 308
- Physiology 237
- Emergency Medicine 210
- Molecular Biology 170
- Oncology 144
Countries citing papers authored by J. van de Ven
This map shows the geographic impact of J. van de Ven'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. van de Ven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. van de Ven more than expected).
Fields of papers citing papers by J. van de Ven
This network shows the impact of papers produced by J. van de Ven. 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. van de Ven. The network helps show where J. van de Ven may publish in the future.
Co-authorship network of co-authors of J. van de Ven
This figure shows the co-authorship network connecting the top 25 collaborators of J. van de Ven. A scholar is included among the top collaborators of J. van de Ven 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. van de Ven. J. van de Ven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 29 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 102 | |
| 6 | 234 | |
| 7 | 34 | |
| 8 | Centrale doelen, decentrale uitvoering: Over de do's and don'ts van prestatieprikkels voor semi-publieke instellingen | 2 |
| 9 | Neue ökonomische Pole in der Peripherie von Berlin und der Randstad | 1 |
| 10 | 22 | |
| 11 | 26 | |
| 12 | 118 | |
| 13 | De stad als themapark? Over de groeiende betekenis van vrije tijdsbestedingen voor de economie van binnensteden | 1 |
| 14 | 63 | |
| 15 | Versterking van de economisch-ruimtelijke structuur van Nederland: economische ontwikkeling en sociale implicaties | 1 |
| 16 | 46 | |
| 17 | Low incidence of p53 mutations in UVA (365-nm)-induced skin tumors in hairless mice. | 47 |
| 18 | 44 | |
| 19 | 2 | |
| 20 | 8 |
About J. van de Ven
J. van de Ven is a scholar working on Urban Studies, Finance and Emergency Medicine, having authored 26 papers that have together received 992 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Simulation-Based Education in Healthcare (5 papers) and Urbanization and City Planning (4 papers). The work is most often cited by research in Emergency Medicine (210 citations), Obstetrics and Gynecology (111 citations) and Emergency Medical Services (86 citations). J. van de Ven has collaborated with scholars based in Netherlands, Australia and Poland. Frequent co-authors include Saskia Houterman, S. Guid Oei, Ben W. Mol, Ashley Merién, Marinus A. Blankenstein, P. H. Th. J. Slee, P.C. de Jong, J.H.H. Thijssen, SG Oei and BW Mol. Their work appears in journals such as Endocrinology, European Journal of Cancer and Obstetrics and Gynecology.
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.