Anna M. de Kort

646 total citations · 1 hit paper
22 papers, 327 citations indexed

About

Anna M. de Kort is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Anna M. de Kort has authored 22 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 17 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Anna M. de Kort's work include Intracerebral and Subarachnoid Hemorrhage Research (21 papers), Alzheimer's disease research and treatments (17 papers) and Cerebrovascular and genetic disorders (9 papers). Anna M. de Kort is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (21 papers), Alzheimer's disease research and treatments (17 papers) and Cerebrovascular and genetic disorders (9 papers). Anna M. de Kort collaborates with scholars based in Netherlands, United States and United Kingdom. Anna M. de Kort's co-authors include Marcel M. Verbeek, Floris H.B.M. Schreuder, Catharina J.M. Klijn, Lieke Jäkel, H. Bea Kuiperij, Iris Kersten, Isabel Santana, Markus Otto, Patrick Oeckl and Alexander E. Volk and has published in prestigious journals such as Journal of Neurochemistry, Journal of Neurology Neurosurgery & Psychiatry and Journal of Alzheimer s Disease.

In The Last Decade

Anna M. de Kort

21 papers receiving 326 citations

Hit Papers

Prevalence of cerebral amyloid angiopathy: A systematic r... 2021 2026 2022 2024 2021 50 100 150

Peers

Anna M. de Kort
Anna M. de Kort
Citations per year, relative to Anna M. de Kort Anna M. de Kort (= 1×) peers Jasmin Rahimi

Countries citing papers authored by Anna M. de Kort

Since Specialization
Citations

This map shows the geographic impact of Anna M. de Kort'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 Anna M. de Kort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna M. de Kort more than expected).

Fields of papers citing papers by Anna M. de Kort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. de Kort. 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 Anna M. de Kort. The network helps show where Anna M. de Kort may publish in the future.

Co-authorship network of co-authors of Anna M. de Kort

This figure shows the co-authorship network connecting the top 25 collaborators of Anna M. de Kort. A scholar is included among the top collaborators of Anna M. de Kort 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 Anna M. de Kort. Anna M. de Kort is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kort, Anna M. de, Bob Siegerink, Sabine Voigt, et al.. (2024). Neuropsychiatric symptoms with focus on apathy and irritability in sporadic and hereditary cerebral amyloid angiopathy. Alzheimer s Research & Therapy. 16(1). 74–74. 3 indexed citations
3.
Berg, E. van den, Iris Kersten, Gunnar Brinkmalm, et al.. (2024). Profiling amyloid‐β peptides as biomarkers for cerebral amyloid angiopathy. Journal of Neurochemistry. 168(7). 1254–1264. 3 indexed citations
4.
Kort, Anna M. de, Iris Kersten, Hans J. C. T. Wessels, et al.. (2024). Cerebrospinal fluid shotgun proteomics identifies distinct proteomic patterns in cerebral amyloid angiopathy rodent models and human patients. Acta Neuropathologica Communications. 12(1). 6–6. 7 indexed citations
5.
Jäkel, Lieke, Anna M. de Kort, Iris Kersten, et al.. (2024). Altered brain expression and cerebrospinal fluid levels of TIMP4 in cerebral amyloid angiopathy. Acta Neuropathologica Communications. 12(1). 103–103. 3 indexed citations
6.
Kuiperij, H. Bea, Anna M. de Kort, Iris Kersten, et al.. (2024). Proximity extension assay in cerebrospinal fluid identifies neurofilament light chain as biomarker of neurodegeneration in sporadic cerebral amyloid angiopathy. Alzheimer s Research & Therapy. 16(1). 108–108.
7.
Kort, Anna M. de, H. Bea Kuiperij, Lieke Jäkel, et al.. (2024). The relation of a cerebrospinal fluid profile associated with Alzheimer’s disease with cognitive function and neuropsychiatric symptoms in sporadic cerebral amyloid angiopathy. Alzheimer s Research & Therapy. 16(1). 99–99. 2 indexed citations
8.
Voigt, Sabine, Emma A. Koemans, Anna M. de Kort, et al.. (2024). Serum and cerebrospinal fluid neurofilament light chain and glial fibrillary acid protein levels in early and advanced stages of cerebral amyloid Angiopathy. Alzheimer s Research & Therapy. 16(1). 86–86. 8 indexed citations
9.
Berg, E. van den, Johanna Nilsson, Iris Kersten, et al.. (2023). Cerebrospinal Fluid Panel of Synaptic Proteins in Cerebral Amyloid Angiopathy and Alzheimer’s Disease. Journal of Alzheimer s Disease. 92(2). 467–475. 4 indexed citations
10.
Kort, Anna M. de, Lieke Jäkel, Iris Kersten, et al.. (2023). Decreased ratios of matrix metalloproteinases to tissue-type inhibitors in cerebrospinal fluid in sporadic and hereditary cerebral amyloid angiopathy. Alzheimer s Research & Therapy. 15(1). 26–26. 6 indexed citations
11.
Kort, Anna M. de, H. Bea Kuiperij, Lieke Jäkel, et al.. (2023). Plasma amyloid beta 42 is a biomarker for patients with hereditary, but not sporadic, cerebral amyloid angiopathy. Alzheimer s Research & Therapy. 15(1). 102–102. 8 indexed citations
12.
Oeckl, Patrick, Sarah Anderl‐Straub, Christine A. F. Von Arnim, et al.. (2022). Serum GFAP differentiates Alzheimer’s disease from frontotemporal dementia and predicts MCI-to-dementia conversion. Journal of Neurology Neurosurgery & Psychiatry. 93(6). 659–667. 64 indexed citations
13.
Zhu, Xiaoyue, Anna M. de Kort, Tainá M. Marques, et al.. (2022). Elevated expression of urokinase plasminogen activator in rodent models and patients with cerebral amyloid angiopathy. Neuropathology and Applied Neurobiology. 48(5). e12804–e12804. 2 indexed citations
14.
Kort, Anna M. de, H. Bea Kuiperij, Daniel Alcolea, et al.. (2021). Cerebrospinal fluid levels of the neurotrophic factor neuroleukin are increased in early Alzheimer’s disease, but not in cerebral amyloid angiopathy. Alzheimer s Research & Therapy. 13(1). 160–160. 6 indexed citations
15.
Marazuela, Paula, Montse Solé, Jessica Camacho, et al.. (2021). MFG-E8 (LACTADHERIN): a novel marker associated with cerebral amyloid angiopathy. Acta Neuropathologica Communications. 9(1). 154–154. 14 indexed citations
16.
Zhu, Xiaoyue, Anna M. de Kort, Tainá M. Marques, et al.. (2021). Urokinase plasminogen activator (uPA) as a novel biomarker for cerebral amyloid angiopathy. Alzheimer s & Dementia. 17(S4). 1 indexed citations
17.
Verbeek, Marcel M., Anna M. de Kort, Marieke J.H. Wermer, et al.. (2021). Amyloid‐βeta peptides in CSF and plasma discriminate cerebral amyloid angiopathy from controls. Alzheimer s & Dementia. 17(S4). 1 indexed citations
18.
Kort, Anna M. de, Lieke Jäkel, Catharina J.M. Klijn, Floris H.B.M. Schreuder, & Marcel M. Verbeek. (2021). Prevalence of sporadic cerebral amyloid angiopathy: A systematic review and meta‐analysis. Alzheimer s & Dementia. 17(S10). 2 indexed citations
19.
Kort, Anna M. de, et al.. (2020). Urokinase plasminogen activator (uPA) as a novel biomarker for cerebral amyloid angiopathy. Alzheimer s & Dementia. 16(S4). 1 indexed citations
20.
Kuiperij, H. Bea, Anna M. de Kort, Iris Kersten, et al.. (2020). Platelet‐derived growth factor receptor‐beta as a potential CSF biomarker for Alzheimer’s disease. Alzheimer s & Dementia. 16(S5). 1 indexed citations

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.

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