Anouk van der Hoorn
- Radiology, Nuclear Medicine and Imaging top 2%
- Genetics top 2%
- Physiology top 10%
- Neurology top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Peter Jan van LaarGea A. HoltmanBart R. J. van DijkenBauke M. de JongGeertruida H. de BockKlaus L. LeendersGyörgy B. HalmosNatalie R. Boonzaier
- Topics
- Glioma Diagnosis and Treatment (33 papers)MRI in cancer diagnosis (20 papers)Radiomics and Machine Learning in Medical Imaging (18 papers)
- Journals
- PLoS ONENeuroImageScientific Reports
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Anouk van der Hoorn
71 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 623
- Genetics 577
- Physiology 307
- Neurology 201
- Pulmonary and Respiratory Medicine 195
Countries citing papers authored by Anouk van der Hoorn
This map shows the geographic impact of Anouk van der Hoorn'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 Anouk van der Hoorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anouk van der Hoorn more than expected).
Fields of papers citing papers by Anouk van der Hoorn
This network shows the impact of papers produced by Anouk van der Hoorn. 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 Anouk van der Hoorn. The network helps show where Anouk van der Hoorn may publish in the future.
Co-authorship network of co-authors of Anouk van der Hoorn
This figure shows the co-authorship network connecting the top 25 collaborators of Anouk van der Hoorn. A scholar is included among the top collaborators of Anouk van der Hoorn 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 Anouk van der Hoorn. Anouk van der Hoorn 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 79 | |
| 16 | 6 | |
| 17 | 81 | |
| 18 | 107 | |
| 19 | 21 | |
| 20 | 5 |
About Anouk van der Hoorn
Anouk van der Hoorn is a scholar working on Genetics, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (33 papers), MRI in cancer diagnosis (20 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). The work is most often cited by research in Genetics (577 citations), Otorhinolaryngology (161 citations) and Geriatrics and Gerontology (107 citations). Anouk van der Hoorn has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Peter Jan van Laar, Gea A. Holtman, Bart R. J. van Dijken, Bauke M. de Jong, Geertruida H. de Bock, Klaus L. Leenders, György B. Halmos, Natalie R. Boonzaier, Stephen J. Price and Jiun‐Lin Yan. Their work appears in journals such as PLoS ONE, NeuroImage and Scientific Reports.
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.