Rivka van den Boom
- Neurology top 2%
- Rheumatology top 5%
- Neurology top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Epidemiology
- Co-authors
- Mark A. van BuchemMichel D. FerrariSaskia A.J. Lesnik ObersteinJoost HaanJeroen van der GrondJ. HaanHans C. van HouwelingenMartijn H. Breuning
- Topics
- Cerebrovascular and genetic disorders (10 papers)Moyamoya disease diagnosis and treatment (7 papers)Metalloenzymes and iron-sulfur proteins (4 papers)
- Cited by
- NeurologyRheumatology
- Partner nations
- NetherlandsGermanyGreece
In The Last Decade
Rivka van den Boom
17 papers receiving 781 citations
Peers
Comparison fields: 5 of 53
- Neurology 658
- Rheumatology 289
- Neurology 162
- Renewable Energy, Sustainability and the Environment 141
- Epidemiology 118
Countries citing papers authored by Rivka van den Boom
This map shows the geographic impact of Rivka van den Boom'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 Rivka van den Boom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rivka van den Boom more than expected).
Fields of papers citing papers by Rivka van den Boom
This network shows the impact of papers produced by Rivka van den Boom. 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 Rivka van den Boom. The network helps show where Rivka van den Boom may publish in the future.
Co-authorship network of co-authors of Rivka van den Boom
This figure shows the co-authorship network connecting the top 25 collaborators of Rivka van den Boom. A scholar is included among the top collaborators of Rivka van den Boom 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 Rivka van den Boom. Rivka van den Boom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 9 | |
| 3 | The effect of a supplement containing sunflower oil, vitamins, amino acids, and peptides on the severity of symptoms in horses suffering insect bite hypersensitivity. | 5 |
| 4 | 42 | |
| 5 | 85 | |
| 6 | 23 | |
| 7 | 82 | |
| 8 | Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy: structural MR imaging changes and apolipoprotein E genotype. | 6 |
| 9 | 25 | |
| 10 | 57 | |
| 11 | 119 | |
| 12 | 40 | |
| 13 | 27 | |
| 14 | 53 | |
| 15 | 46 | |
| 16 | 19 | |
| 17 | 150 |
About Rivka van den Boom
Rivka van den Boom is a scholar working on Neurology, Immunology and Allergy and Rheumatology, having authored 17 papers that have together received 800 indexed citations. Recurring topics across this work include Cerebrovascular and genetic disorders (10 papers), Moyamoya disease diagnosis and treatment (7 papers) and Metalloenzymes and iron-sulfur proteins (4 papers). The work is most often cited by research in Neurology (658 citations), Neurology (162 citations) and Rheumatology (289 citations). Rivka van den Boom has collaborated with scholars based in Netherlands, Germany and Greece. Frequent co-authors include Mark A. van Buchem, Michel D. Ferrari, Saskia A.J. Lesnik Oberstein, Joost Haan, Jeroen van der Grond, J. Haan, Hans C. van Houwelingen, Martijn H. Breuning, Egbert Bakker and M.H. Breuning. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Neurology and Stroke.
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.