Agneta Nordberg

54.4k total citations · 5 hit papers
503 papers, 25.9k citations indexed

About

Agneta Nordberg is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Agneta Nordberg has authored 503 papers receiving a total of 25.9k indexed citations (citations by other indexed papers that have themselves been cited), including 232 papers in Molecular Biology, 227 papers in Physiology and 153 papers in Cellular and Molecular Neuroscience. Recurrent topics in Agneta Nordberg's work include Alzheimer's disease research and treatments (219 papers), Nicotinic Acetylcholine Receptors Study (166 papers) and Cholinesterase and Neurodegenerative Diseases (134 papers). Agneta Nordberg is often cited by papers focused on Alzheimer's disease research and treatments (219 papers), Nicotinic Acetylcholine Receptors Study (166 papers) and Cholinesterase and Neurodegenerative Diseases (134 papers). Agneta Nordberg collaborates with scholars based in Sweden, United States and United Kingdom. Agneta Nordberg's co-authors include Bengt Winblad, Ove Almkvist, Bengt Långström, Ewa Hellström‐Lindahl, Anders Wall, David Paterson, Konstantinos Chiotis, Anne‐Lie Svensson, Amelia Marutle and Taher Darreh‐Shori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Agneta Nordberg

493 papers receiving 25.3k citations

Hit Papers

Neuronal nicotinic receptors in the human brain 2000 2026 2008 2017 2000 2021 2007 2019 2020 200 400 600

Peers

Agneta Nordberg
Ann M. Saunders United States
John H. Growdon United States
Paul Aisen United States
Alison Goate United States
Leon J. Thal United States
Martin R. Farlow United States
Allen D. Roses United States
Vahram Haroutunian United States
Karen Duff United States
Ann M. Saunders United States
Agneta Nordberg
Citations per year, relative to Agneta Nordberg Agneta Nordberg (= 1×) peers Ann M. Saunders

Countries citing papers authored by Agneta Nordberg

Since Specialization
Citations

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

Fields of papers citing papers by Agneta Nordberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agneta Nordberg

This figure shows the co-authorship network connecting the top 25 collaborators of Agneta Nordberg. A scholar is included among the top collaborators of Agneta Nordberg 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 Agneta Nordberg. Agneta Nordberg 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.
Kirabali, Tunahan, Uwe Konietzko, Daniel Razansky, et al.. (2025). Reduced synaptic vesicle protein 2A in extracellular vesicles and brains of Alzheimer’s disease: associations with Aβ, tau, synaptic proteins and APOE ε4. Translational Neurodegeneration. 14(1). 48–48.
2.
García‐Ptacek, Sara, Nenad Bogdanović, Tobias Granberg, et al.. (2025). Find-DLB: a naturalistic cohort of patients presenting with clinical features of dementia with Lewy bodies to a specialized cognitive clinic. European Geriatric Medicine. 17(1). 309–321.
3.
Mohanty, Rosaleena, Konstantinos Poulakis, J‐Sebastian Muehlboeck, et al.. (2024). Divergent neurodegenerative patterns: Comparison of [18F] fluorodeoxyglucose-PET- and MRI-based Alzheimer’s disease subtypes. Brain Communications. 6(6). fcae426–fcae426.
5.
Mastenbroek, Sophie E, Arianna Sala, Juan Domingo Gispert, et al.. (2023). Biological and methodological factors underlying a continuous amyloid CSF/PET imbalance model and its association with longitudinal cognition. Alzheimer s & Dementia. 19(S10). 1 indexed citations
6.
Fontana, Igor C., et al.. (2023). Astrocyte Signature in Alzheimer’s Disease Continuum through a Multi-PET Tracer Imaging Perspective. Cells. 12(11). 1469–1469. 16 indexed citations
7.
Villemagne, Victor L., Frederik Barkhof, Valentina Garibotto, et al.. (2021). Molecular Imaging Approaches in Dementia. Radiology. 298(3). 517–530. 28 indexed citations
8.
Bellaver, Bruna, João Pedro Ferrari‐Souza, Stephen F. Carter, et al.. (2021). Astrocyte Biomarkers in Alzheimer Disease. Neurology. 96(24). e2944–e2955. 80 indexed citations
9.
Kuang, Guanglin, N. Arul Murugan, Yang Zhou, Agneta Nordberg, & Hans Ågren. (2020). Computational Insight into the Binding Profile of the Second-Generation PET Tracer PI2620 with Tau Fibrils. ACS Chemical Neuroscience. 11(6). 900–908. 38 indexed citations
10.
Almkvist, Ove, Elena Rodriguez‐Vieitez, Steinunn Þórðardóttir, et al.. (2019). Longitudinal cognitive decline in autosomal-dominant Alzheimer's disease varies with mutations in APP and PSEN1 genes. Neurobiology of Aging. 82. 40–47. 7 indexed citations
11.
Jonasson, My, Anders Wall, Konstantinos Chiotis, et al.. (2019). Optimal timing of tau pathology imaging and automatic extraction of a reference region using dynamic [18F]THK5317 PET. NeuroImage Clinical. 22. 101681–101681. 2 indexed citations
12.
Garibotto, Valentina, Karl Herholz, Marina Boccardi, et al.. (2017). Clinical validity of brain fluorodeoxyglucose positron emission tomography as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework. Neurobiology of Aging. 52. 183–195. 59 indexed citations
13.
Kuang, Guanglin, Yang Zhou, Rongfeng Zou, et al.. (2017). Characterization of the binding mode of the PET tracer [18F]ASEM to a chimera structure of the α7 nicotinic acetylcholine receptor. RSC Advances. 7(32). 19787–19793. 4 indexed citations
14.
Chiotis, Konstantinos, Laure Saint‐Aubert, Marina Boccardi, et al.. (2017). Clinical validity of increased cortical uptake of amyloid ligands on PET as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework. Neurobiology of Aging. 52. 214–227. 48 indexed citations
15.
Marutle, Amelia, Per‐Göran Gillberg, Wenfeng Yu, et al.. (2013). 3H-Deprenyl and 3H-PIB autoradiography show different laminar distributions of astroglia and fibrillar β-amyloid in Alzheimer brain. Journal of Neuroinflammation. 10(1). 90–90. 54 indexed citations
16.
Zhang, Xiao, Chuan Liu, Hui Miao, Ze‐Hui Gong, & Agneta Nordberg. (1998). Postnatal changes of nicotinic acetylcholine receptor α2, α3, α4, α7 and β2 subunits genes expression in rat brain. International Journal of Developmental Neuroscience. 16(6). 507–518. 111 indexed citations
17.
Berglund, Ulrika Warpman & Agneta Nordberg. (1995). Epibatidine and ABT 418 reveal selective losses of α4β2 nicotinic receptors in Alzheimer brains. Neuroreport. 6(17). 2419–2423. 123 indexed citations
18.
Nordberg, Agneta & Bengt Winblad. (1993). Cholinesterase inhibitors in Alzheimer's disease. Munksgaard eBooks. 1 indexed citations
19.
Cacabelos, Ramón, A. Hofman, Michael Mullan, et al.. (1993). Alzheimer's disease: Scientific progress for future trends. Drug News & Perspectives. 6. 242–244. 2 indexed citations
20.
Zhang, Xiao, Göran Wahlström, & Agneta Nordberg. (1990). Influence of development and aging on nicotinic receptor subtypes in rodent brain. International Journal of Developmental Neuroscience. 8(6). 715–721. 34 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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