Alexander Svanbergsson

429 total citations
10 papers, 208 citations indexed

About

Alexander Svanbergsson is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alexander Svanbergsson has authored 10 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alexander Svanbergsson's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Alzheimer's disease research and treatments (4 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Alexander Svanbergsson is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Alzheimer's disease research and treatments (4 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Alexander Svanbergsson collaborates with scholars based in Sweden, China and Germany. Alexander Svanbergsson's co-authors include Jiayi Li, Caroline Haikal, Wen Li, Gunnar K. Gouras, Tiago F. Outeiro, Zhan‐You Wang, Omar M. A. El‐Agnaf, Mustafa T. Ardah, Nishant N. Vaikath and Jiazhen Wu and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Aging Neuroscience.

In The Last Decade

Alexander Svanbergsson

10 papers receiving 204 citations

Peers

Alexander Svanbergsson
Justin O’Leary United States
He-Jin Lee South Korea
Sasja Heetveld United States
Pia Jensen Denmark
Alexander Svanbergsson
Citations per year, relative to Alexander Svanbergsson Alexander Svanbergsson (= 1×) peers Nai‐Jia Xue

Countries citing papers authored by Alexander Svanbergsson

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Svanbergsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Svanbergsson. 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 Alexander Svanbergsson. The network helps show where Alexander Svanbergsson may publish in the future.

Co-authorship network of co-authors of Alexander Svanbergsson

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

All Works

10 of 10 papers shown
1.
Haikal, Caroline, Inês Caldeira Brás, Ellen Gerhardt, et al.. (2022). Monitoring the interactions between alpha-synuclein and Tau in vitro and in vivo using bimolecular fluorescence complementation. Scientific Reports. 12(1). 2987–2987. 15 indexed citations
2.
Martinsson, Isak, Luís Quintino, Sabine C Konings, et al.. (2022). Aβ/Amyloid Precursor Protein-Induced Hyperexcitability and Dysregulation of Homeostatic Synaptic Plasticity in Neuron Models of Alzheimer’s Disease. Frontiers in Aging Neuroscience. 14. 946297–946297. 21 indexed citations
3.
Svanbergsson, Alexander, et al.. (2022). Brain region-specific microglial and astrocytic activation in response to systemic lipopolysaccharides exposure. Frontiers in Aging Neuroscience. 14. 910988–910988. 17 indexed citations
4.
Paulus, Agnes, Anders Engdahl, Yiyi Yang, et al.. (2021). Amyloid Structural Changes Studied by Infrared Microspectroscopy in Bigenic Cellular Models of Alzheimer’s Disease. International Journal of Molecular Sciences. 22(7). 3430–3430. 7 indexed citations
5.
Guo, Jianjun, Alexander Svanbergsson, Lin Yuan, et al.. (2021). Differential seeding and propagating efficiency of α-synuclein strains generated in different conditions. Translational Neurodegeneration. 10(1). 20–20. 23 indexed citations
6.
Haikal, Caroline, Katja Bernfur, Alexander Svanbergsson, et al.. (2021). The Bacterial Amyloids Phenol Soluble Modulins from Staphylococcus aureus Catalyze Alpha-Synuclein Aggregation. International Journal of Molecular Sciences. 22(21). 11594–11594. 13 indexed citations
7.
Svanbergsson, Alexander, Fredrik Ek, Isak Martinsson, et al.. (2021). FRET-Based Screening Identifies p38 MAPK and PKC Inhibition as Targets for Prevention of Seeded α-Synuclein Aggregation. Neurotherapeutics. 18(3). 1692–1709. 5 indexed citations
8.
Davidsson, Marcus, et al.. (2020). A comparison of AAV-vector production methods for gene therapy and preclinical assessment. Scientific Reports. 10(1). 21532–21532. 19 indexed citations
9.
Wu, Jiazhen, Mustafa T. Ardah, Caroline Haikal, et al.. (2019). Dihydromyricetin and Salvianolic acid B inhibit alpha-synuclein aggregation and enhance chaperone-mediated autophagy. Translational Neurodegeneration. 8(1). 18–18. 63 indexed citations
10.
Haikal, Caroline, et al.. (2017). Age-Dependent Alpha-Synuclein Accumulation and Phosphorylation in the Enteric Nervous System in a Transgenic Mouse Model of Parkinson’s Disease. Neuroscience Bulletin. 33(5). 483–492. 25 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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