Daniëlle Kerkhofs
Impact in
- Neurology top 5%
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Barrier Structure and Function Studies
- Cerebrovascular and genetic disorders
Papers in
-
- Cerebrovascular and Carotid Artery Diseases 5
-
- Neurological Disease Mechanisms and Treatments 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Cerebrovascular and genetic disorders 3
- Co-authors
- Robert J. van Oostenbrugge (5 shared papers)Sébastien Foulquier (3 shared papers)Julie Staals (7 shared papers)Walter H. Backes (6 shared papers)Sau May Wong (2 shared papers)Jacobus F.A. Jansen (3 shared papers)Toshiki Mizuno (1 shared paper)Harry W.M. Steinbusch (1 shared paper)
- Journals
- Neurology (2 papers)GeroScience (1 paper)Journal of Hypertension (1 paper)Frontiers in Neuroscience (1 paper)Theranostics (1 paper)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Daniëlle Kerkhofs
9 papers receiving 269 citations
Peers
Comparison fields: 5 of 52
- Neurology 164
- Neurology 73
- Biological Psychiatry 9
- Radiology, Nuclear Medicine and Imaging 48
- Developmental Neuroscience 8
Countries citing papers authored by Daniëlle Kerkhofs
This map shows the geographic impact of Daniëlle Kerkhofs'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 Daniëlle Kerkhofs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniëlle Kerkhofs more than expected).
Fields of papers citing papers by Daniëlle Kerkhofs
This network shows the impact of papers produced by Daniëlle Kerkhofs. 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 Daniëlle Kerkhofs. The network helps show where Daniëlle Kerkhofs may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniëlle Kerkhofs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 61 | |
| 2 | 2020 | 56 | |
| 3 | 2021 | 49 | |
| 4 | 2021 | 44 | |
| 5 | 2023 | 18 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 12 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 8 |
About Daniëlle Kerkhofs
Daniëlle Kerkhofs is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Neurology, Epidemiology and Rheumatology, having authored 9 papers that have together received 271 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (5 papers), Neurological Disease Mechanisms and Treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cerebrovascular and genetic disorders (3 papers), Moyamoya disease diagnosis and treatment (2 papers), Acute Ischemic Stroke Management (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper) and Pain Management and Placebo Effect (1 paper). The work is most often cited by research in Neurology (164 citations), Neurology (73 citations), Biological Psychiatry (9 citations), Radiology, Nuclear Medicine and Imaging (48 citations) and Developmental Neuroscience (8 citations). Daniëlle Kerkhofs has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Robert J. van Oostenbrugge, Sébastien Foulquier, Julie Staals, Walter H. Backes, Sau May Wong, Jacobus F.A. Jansen, Toshiki Mizuno, Harry W.M. Steinbusch, Takashi Koizumi and Erik I. Hoff. Their work appears in journals such as Neurology, GeroScience, Journal of Hypertension, Frontiers in Neuroscience and Theranostics.
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.