David Bäckström

1.7k total citations
22 papers, 589 citations indexed

About

David Bäckström is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Bäckström has authored 22 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Neurology, 7 papers in Physiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Bäckström's work include Parkinson's Disease Mechanisms and Treatments (18 papers), Neurological disorders and treatments (11 papers) and Nuclear Receptors and Signaling (5 papers). David Bäckström is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (18 papers), Neurological disorders and treatments (11 papers) and Nuclear Receptors and Signaling (5 papers). David Bäckström collaborates with scholars based in Sweden, United Kingdom and United States. David Bäckström's co-authors include Lars Forsgren, Jan Linder, Kaj Blennow, Henrik Zetterberg, Magnus Domellöf, Susanna Jakobson Mo, Katrine Riklund, Gabriel Granåsen, Miles Trupp and Annika Öhrfelt and has published in prestigious journals such as Nature Communications, Neurology and Movement Disorders.

In The Last Decade

David Bäckström

17 papers receiving 579 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Bäckström 452 165 129 77 72 22 589
Valentina Nicoletti 429 0.9× 87 0.5× 157 1.2× 80 1.0× 58 0.8× 21 717
Diane M.A. Swallow 422 0.9× 101 0.6× 110 0.9× 31 0.4× 79 1.1× 18 585
Sarah Boyer 423 0.9× 171 1.0× 102 0.8× 59 0.8× 103 1.4× 2 524
Katrine B. Andersen 302 0.7× 129 0.8× 115 0.9× 46 0.6× 46 0.6× 14 442
Kyoungwon Baik 345 0.8× 139 0.8× 97 0.8× 102 1.3× 93 1.3× 56 669
María José Martí 619 1.4× 262 1.6× 168 1.3× 96 1.2× 139 1.9× 14 760
Simone Simoni 273 0.6× 136 0.8× 90 0.7× 83 1.1× 93 1.3× 29 477
R. Pantieri 356 0.8× 177 1.1× 107 0.8× 143 1.9× 117 1.6× 21 629
Mar Carmona‐Abellán 304 0.7× 104 0.6× 114 0.9× 42 0.5× 88 1.2× 29 564
Jorge Hernández‐Vara 522 1.2× 94 0.6× 153 1.2× 62 0.8× 73 1.0× 42 679

Countries citing papers authored by David Bäckström

Since Specialization
Citations

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

Fields of papers citing papers by David Bäckström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bäckström

This figure shows the co-authorship network connecting the top 25 collaborators of David Bäckström. A scholar is included among the top collaborators of David Bäckström 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 David Bäckström. David Bäckström 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.
Nilsson, Johanna, Henrik Zetterberg, Kaj Blennow, et al.. (2025). Low synaptic and neurosecretory proteins in cerebrospinal fluid in early parkinsonian disease. Journal of the Neurological Sciences. 478. 123683–123683. 1 indexed citations
2.
Vidyadhara, D. J., David Bäckström, Rajarshi Chakraborty, et al.. (2025). Synaptic vesicle endocytosis deficits underlie cognitive dysfunction in mouse models of GBA-linked Parkinson’s disease and dementia with Lewy bodies. Nature Communications. 16(1). 8484–8484.
3.
Dalen, Ingvild, Rachael A. Lawson, Alison J. Yarnall, et al.. (2025). Dementia risk prediction in early Parkinson's disease: Validation and genetic integration of the Montreal Parkinson risk of dementia scale (MoPaRDS). Journal of Parkinson s Disease. 15(4). 868–878.
4.
Gomes, Bárbara Fernandes, Carly M. Farris, Yihua Ma, et al.. (2025). Alzheimer's disease traits in Parkinson's disease without α‐synuclein seeding. Alzheimer s & Dementia. 21(5). e70284–e70284.
5.
Malm, Jan, et al.. (2024). Freezing of gait in idiopathic normal pressure hydrocephalus. Fluids and Barriers of the CNS. 21(1). 2 indexed citations
6.
Brolin, Kajsa, David Bäckström, Ziv Gan‐Or, et al.. (2024). GBA1 T369M and Parkinson's disease - Further evidence of a lack of association in the Swedish population. Parkinsonism & Related Disorders. 130. 107191–107191.
7.
Bjerkén, Sara af, Jan Axelsson, Anne Larsson, et al.. (2023). Reliability and validity of visual analysis of [18F]FE-PE2I PET/CT in early Parkinsonian disease. Nuclear Medicine Communications. 44(5). 397–406. 3 indexed citations
8.
Bäckström, David, Gabriel Granåsen, Susanna Jakobson Mo, et al.. (2022). Prediction and early biomarkers of cognitive decline in Parkinson disease and atypical parkinsonism: a population-based study. Brain Communications. 4(2). fcac040–fcac040. 24 indexed citations
9.
Bäckström, David, Intissar Anan, Jonas Wixner, et al.. (2022). Cerebellar and Cerebral Amyloid Visualized by [18F]flutemetamol PET in Long-Term Hereditary V30M (p.V50M) Transthyretin Amyloidosis Survivors. Frontiers in Neurology. 13. 816636–816636. 9 indexed citations
10.
Dalen, Ingvild, Kenn Freddy Pedersen, Marta Camacho, et al.. (2022). GBA and APOE Impact Cognitive Decline in Parkinson's Disease: A 10‐Year Population‐Based Study. Movement Disorders. 37(5). 1016–1027. 71 indexed citations
11.
Maple‐Grødem, Jodi, Kimberly C. Paul, Ingvild Dalen, et al.. (2021). Lack of Association Between GBA Mutations and Motor Complications in European and American Parkinson's Disease Cohorts. Duo Research Archive (University of Oslo). 5 indexed citations
12.
Boraxbekk, Carl‐Johan, Erik Domellöf, Louise Rönnqvist, et al.. (2021). The Effects of Working Memory Updating Training in Parkinson’s Disease: A Feasibility and Single-Subject Study on Cognition, Movement and Functional Brain Response. Frontiers in Psychology. 11. 587925–587925. 5 indexed citations
13.
14.
Bäckström, David, Jan Linder, Susanna Jakobson Mo, et al.. (2020). NfL as a biomarker for neurodegeneration and survival in Parkinson disease. Neurology. 95(7). e827–e838. 90 indexed citations
15.
Mo, Susanna Jakobson, Jan Axelsson, Lars Jonasson, et al.. (2018). Dopamine transporter imaging with [18F]FE-PE2I PET and [123I]FP-CIT SPECT—a clinical comparison. EJNMMI Research. 8(1). 100–100. 57 indexed citations
16.
Bäckström, David, Gabriel Granåsen, Magnus Domellöf, et al.. (2018). Early predictors of mortality in parkinsonism and Parkinson disease. Neurology. 91(22). e2045–e2056. 115 indexed citations
17.
Neely, Anna Stigsdotter, et al.. (2018). P2‐620: A FRONTO‐STRIATAL WORKOUT IN A PATIENT WITH PARKINSON DISEASE: IMPROVED WORKING‐MEMORY UPDATING AND ACTIVITY INCREASES IN STRIATUM. Alzheimer s & Dementia. 14(7S_Part_18). 1 indexed citations
18.
Bäckström, David, Magnus Domellöf, Gabriel Granåsen, et al.. (2017). PITX3 genotype and risk of dementia in Parkinson's disease: A population-based study. Journal of the Neurological Sciences. 381. 278–284. 12 indexed citations
19.
Bäckström, David, Magnus Domellöf, Jan Linder, et al.. (2015). Cerebrospinal Fluid Patterns and the Risk of Future Dementia in Early, Incident Parkinson Disease. JAMA Neurology. 72(10). 1175–1175. 133 indexed citations
20.
Clements, William M., et al.. (1980). Managing the difficult patient.. PubMed. 10(6). 1079–83. 7 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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