Stephan A. Kaeser

6.9k total citations · 2 hit papers
33 papers, 4.0k citations indexed

About

Stephan A. Kaeser is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Stephan A. Kaeser has authored 33 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Physiology, 14 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in Stephan A. Kaeser's work include Alzheimer's disease research and treatments (28 papers), Prion Diseases and Protein Misfolding (10 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Stephan A. Kaeser is often cited by papers focused on Alzheimer's disease research and treatments (28 papers), Prion Diseases and Protein Misfolding (10 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Stephan A. Kaeser collaborates with scholars based in Germany, United States and Switzerland. Stephan A. Kaeser's co-authors include Mathias Jucker, Matthias Staufenbiel, Paul M. Mathews, Hartwig Wolburg, Tristan Bolmont, Janaky Coomaraswamy, Lary C. Walker, Rebecca Radde, Ellen Kilger and Yvonne S. Eisele and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Stephan A. Kaeser

32 papers receiving 3.9k citations

Hit Papers

Aβ42‐driven cerebral amyloidosis in transgenic mice revea... 2006 2026 2012 2019 2006 2006 200 400 600

Peers

Stephan A. Kaeser
Celeste M. Karch United States
Mary Beth Finn United States
Dick Terwel Belgium
Sarah L. DeVos United States
Urmi Sengupta United States
Diego Mastroeni United States
Yazi D. Ke Australia
Celeste M. Karch United States
Stephan A. Kaeser
Citations per year, relative to Stephan A. Kaeser Stephan A. Kaeser (= 1×) peers Celeste M. Karch

Countries citing papers authored by Stephan A. Kaeser

Since Specialization
Citations

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

Fields of papers citing papers by Stephan A. Kaeser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephan A. Kaeser. 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 Stephan A. Kaeser. The network helps show where Stephan A. Kaeser may publish in the future.

Co-authorship network of co-authors of Stephan A. Kaeser

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan A. Kaeser. A scholar is included among the top collaborators of Stephan A. Kaeser 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 Stephan A. Kaeser. Stephan A. Kaeser 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.
Eninger, Timo, Stephan A. Müller, Mehtap Bacioglu, et al.. (2022). Signatures of glial activity can be detected in the CSF proteome. Proceedings of the National Academy of Sciences. 119(24). e2119804119–e2119804119. 15 indexed citations
2.
Kaeser, Stephan A., Benoit Lehallier, Mikael Thinggaard, et al.. (2021). A neuronal blood marker is associated with mortality in old age. Nature Aging. 1(2). 218–225. 33 indexed citations
3.
Schittenhelm, Jens, Evelyn Dubois, Laura Neumann, et al.. (2021). Cerebrospinal fluid cytokine levels are associated with macrophage infiltration into tumor tissues of glioma patients. BMC Cancer. 21(1). 1108–1108. 13 indexed citations
4.
J., Maria Jose Perez, Dina Ivanyuk, Vasiliki Panagiotakopoulou, et al.. (2020). Loss of function of the mitochondrial peptidase PITRM1 induces proteotoxic stress and Alzheimer’s disease-like pathology in human cerebral organoids. Molecular Psychiatry. 26(10). 5733–5750. 112 indexed citations
5.
Schelle, Juliane, Bettina M. Wegenast‐Braun, Sarah K. Fritschi, et al.. (2019). Early Aβ reduction prevents progression of cerebral amyloid angiopathy. Annals of Neurology. 86(4). 561–571. 15 indexed citations
6.
Ye, Lan, Jay Rasmussen, Stephan A. Kaeser, et al.. (2017). Aβ seeding potency peaks in the early stages of cerebral β‐amyloidosis. EMBO Reports. 18(9). 1536–1544. 35 indexed citations
7.
Rasmussen, Jay, Jasmin Mahler, Natalie Beschörner, et al.. (2017). Amyloid polymorphisms constitute distinct clouds of conformational variants in different etiological subtypes of Alzheimer’s disease. Proceedings of the National Academy of Sciences. 114(49). 13018–13023. 162 indexed citations
8.
Langer, Franziska, Jasmin Mahler, Angelos Skodras, et al.. (2016). Conversion of Synthetic Aβ toIn VivoActive Seeds and Amyloid Plaque Formation in a Hippocampal Slice Culture Model. Journal of Neuroscience. 36(18). 5084–5093. 33 indexed citations
9.
Wilke, Carlo, Frank Gillardon, Christian Deuschle, et al.. (2016). Serum Levels of Progranulin Do Not Reflect Cerebrospinal Fluid Levels in Neurodegenerative Disease. Current Alzheimer Research. 13(6). 654–662. 26 indexed citations
10.
Ye, Lan, Sarah K. Fritschi, Juliane Schelle, et al.. (2015). Persistence of Aβ seeds in APP null mouse brain. Nature Neuroscience. 18(11). 1559–1561. 43 indexed citations
11.
Ísaksson, Helgi J., Stephan A. Kaeser, Angelos Skodras, et al.. (2015). Parenchymal cystatin C focal deposits and glial scar formation around brain arteries in Hereditary Cystatin C Amyloid Angiopathy. Brain Research. 1622. 149–162. 8 indexed citations
12.
Maia, Luı́s F., Stephan A. Kaeser, Julia Reichwald, et al.. (2015). Increased CSF Aβ during the very early phase of cerebral Aβ deposition in mouse models. EMBO Molecular Medicine. 7(7). 895–903. 37 indexed citations
13.
Ísaksson, Helgi J., Stephan A. Kaeser, Angelos Skodras, et al.. (2013). Deposition of collagen IV and aggrecan in leptomeningeal arteries of hereditary brain haemorrhage with amyloidosis. Brain Research. 1535. 106–114. 10 indexed citations
14.
Maia, Luı́s F., Stephan A. Kaeser, Julia Reichwald, et al.. (2013). Changes in Amyloid-β and Tau in the Cerebrospinal Fluid of Transgenic Mice Overexpressing Amyloid Precursor Protein. Science Translational Medicine. 5(194). 194re2–194re2. 152 indexed citations
15.
Grathwohl, Stefan, Roland E. Kälin, Tristan Bolmont, et al.. (2010). Formation and maintenance of Alzheimer’s disease beta-amyloid plaques in the absence of microglia. e-Neuroforum. 16(1). 164–167. 68 indexed citations
16.
Grathwohl, Stefan, Roland E. Kälin, Tristan Bolmont, et al.. (2009). Formation and maintenance of Alzheimer's disease β-amyloid plaques in the absence of microglia. Nature Neuroscience. 12(11). 1361–1363. 325 indexed citations
17.
Coomaraswamy, Janaky, Claudia Schaefer, Stephan A. Kaeser, et al.. (2008). P1‐076: Modeling Familial Danish dementia. Alzheimer s & Dementia. 4(4S_Part_7). 1 indexed citations
18.
Kaeser, Stephan A., Martin C. Herzig, Janaky Coomaraswamy, et al.. (2007). Cystatin C modulates cerebral β-amyloidosis. Nature Genetics. 39(12). 1437–1439. 150 indexed citations
19.
Calhoun, Michael E., Victor Howard, Luca Bondolfi, et al.. (2004). Neocortical synaptic bouton number is maintained despite robust amyloid deposition in APP23 transgenic mice. Neurobiology of Aging. 26(5). 607–613. 54 indexed citations
20.
Meyer‐Luehmann, Melanie, Martina Stalder, Martin C. Herzig, et al.. (2003). Extracellular amyloid formation and associated pathology in neural grafts. Nature Neuroscience. 6(4). 370–377. 109 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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