H. Bea Kuiperij

4.1k total citations
75 papers, 2.5k citations indexed

About

H. Bea Kuiperij is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, H. Bea Kuiperij has authored 75 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Neurology, 40 papers in Physiology and 30 papers in Molecular Biology. Recurrent topics in H. Bea Kuiperij's work include Alzheimer's disease research and treatments (40 papers), Intracerebral and Subarachnoid Hemorrhage Research (22 papers) and Parkinson's Disease Mechanisms and Treatments (17 papers). H. Bea Kuiperij is often cited by papers focused on Alzheimer's disease research and treatments (40 papers), Intracerebral and Subarachnoid Hemorrhage Research (22 papers) and Parkinson's Disease Mechanisms and Treatments (17 papers). H. Bea Kuiperij collaborates with scholars based in Netherlands, United States and Germany. H. Bea Kuiperij's co-authors include Marcel M. Verbeek, Jurgen A.H.R. Claassen, Mareike Müller, Rianne A.J. Esselink, Johannes L. Bos, Johan de Rooij, Bastiaan R. Bloem, Savithri Rangarajan, Jorrit M. Enserink and Benno Küsters and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Neurology.

In The Last Decade

H. Bea Kuiperij

72 papers receiving 2.4k citations

Peers

H. Bea Kuiperij
An Snellinx Belgium
Catherine Pan United States
Tessandra Stewart United States
Donald Pizzo United States
Agueda Rostagno United States
Chadwick M. Hales United States
H. Bea Kuiperij
Citations per year, relative to H. Bea Kuiperij H. Bea Kuiperij (= 1×) peers Johan Lundkvist

Countries citing papers authored by H. Bea Kuiperij

Since Specialization
Citations

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

Fields of papers citing papers by H. Bea Kuiperij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Bea Kuiperij. 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 H. Bea Kuiperij. The network helps show where H. Bea Kuiperij may publish in the future.

Co-authorship network of co-authors of H. Bea Kuiperij

This figure shows the co-authorship network connecting the top 25 collaborators of H. Bea Kuiperij. A scholar is included among the top collaborators of H. Bea Kuiperij 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 H. Bea Kuiperij. H. Bea Kuiperij 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.
Berg, E. van den, Rian Roelofs, Lieke Jäkel, et al.. (2024). No replicating evidence for anti‐amyloid‐β autoantibodies in cerebral amyloid angiopathy‐related inflammation. Annals of Clinical and Translational Neurology. 11(10). 2563–2571. 2 indexed citations
2.
Koemans, Emma A., Sabine Voigt, Erik W. van Zwet, et al.. (2024). Temporal Ordering of Biomarkers in Dutch-Type Hereditary Cerebral Amyloid Angiopathy. Stroke. 55(4). 954–962. 2 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.
Hondius, David, Robert Veerhuis, Ka Wan Li, et al.. (2023). Full complement activation is associated with capillary cerebral amyloid angiopathy in Alzheimer’s disease.. Alzheimer s & Dementia. 19(S12).
7.
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
8.
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
9.
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
10.
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
11.
Marques, Tainá M., Anouke van Rumund, Iris Kersten, et al.. (2021). Identification of cerebrospinal fluid biomarkers for parkinsonism using a proteomics approach. npj Parkinson s Disease. 7(1). 107–107. 17 indexed citations
12.
Kleerekooper, Iris, Megan K. Herbert, H. Bea Kuiperij, et al.. (2020). CSF levels of glutamine synthetase and GFAP to explore astrocytic damage in seronegative NMOSD. Journal of Neurology Neurosurgery & Psychiatry. 91(6). 605–611. 21 indexed citations
13.
Kuiperij, H. Bea, Anouke van Rumund, Rianne A.J. Esselink, et al.. (2020). Inflammation biomarker discovery in Parkinson’s disease and atypical parkinsonisms. BMC Neurology. 20(1). 26–26. 58 indexed citations
14.
Marques, Tainá M., Anouke van Rumund, Patrick Oeckl, et al.. (2019). Serum NFL discriminates Parkinson disease from atypical parkinsonisms. Neurology. 92(13). e1479–e1486. 95 indexed citations
15.
Marques, Tainá M., Anouke van Rumund, H. Bea Kuiperij, & Marcel M. Verbeek. (2017). Biomarkers in cerebrospinal fluid for synucleinopathies, tauopathies, and other neurodegenerative disorders. Handbook of clinical neurology. 146. 99–113. 5 indexed citations
16.
Doorn, Linda Josephine Christine van Waalwijk van, Marleen J.A. Koel‐Simmelink, Ute Haußmann, et al.. (2016). Validation of soluble amyloid‐β precursor protein assays as diagnostic CSF biomarkers for neurodegenerative diseases. Journal of Neurochemistry. 137(1). 112–121. 17 indexed citations
17.
Verhoeven‐Duif, Nanda M., et al.. (2016). CSF d-serine concentrations are similar in Alzheimer's disease, other dementias, and elderly controls. Neurobiology of Aging. 42. 213–216. 38 indexed citations
18.
Herbert, Megan K., Marcel M. Verbeek, Benno Küsters, & H. Bea Kuiperij. (2015). A multifunctional ELISA to measure oxidised proteins: oxPin1 in Alzheimer's brain as an example. PubMed. 4. 1–6. 2 indexed citations
19.
Herbert, Megan K., et al.. (2014). Total glutamine synthetase levels in cerebrospinal fluid of Alzheimer's disease patients are unchanged. Neurobiology of Aging. 36(3). 1271–1273. 15 indexed citations
20.
Westra, Douwe F., et al.. (1999). Domains of Glycoprotein H of Herpes Simplex Virus Type 1 Involved in Complex Formation with Glycoprotein L. Virology. 261(1). 96–105. 9 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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