Tuomo Polvikoski

8.8k total citations · 1 hit paper
91 papers, 5.3k citations indexed

About

Tuomo Polvikoski is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Tuomo Polvikoski has authored 91 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Physiology, 35 papers in Psychiatry and Mental health and 29 papers in Molecular Biology. Recurrent topics in Tuomo Polvikoski's work include Alzheimer's disease research and treatments (38 papers), Dementia and Cognitive Impairment Research (34 papers) and Parkinson's Disease Mechanisms and Treatments (16 papers). Tuomo Polvikoski is often cited by papers focused on Alzheimer's disease research and treatments (38 papers), Dementia and Cognitive Impairment Research (34 papers) and Parkinson's Disease Mechanisms and Treatments (16 papers). Tuomo Polvikoski collaborates with scholars based in United Kingdom, Finland and United States. Tuomo Polvikoski's co-authors include Raimo Sulkava, Raj N. Kalaria, Liisa Myllykangas, Auli Verkkoniemi, Leena Niinistö, Anders Paetau, Paul G. Ince, Pentti J. Tienari, Minna Oinas and Kimmo Kontula and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Nature Neuroscience.

In The Last Decade

Tuomo Polvikoski

91 papers receiving 5.2k citations

Hit Papers

Delirium is a strong risk factor for dementia in the olde... 2012 2026 2016 2021 2012 100 200 300

Peers

Tuomo Polvikoski
Helena C. Chui United States
Heather M. Snyder United States
Joshua A. Sonnen United States
Martin M. Bednar United States
Abhay Moghekar United States
Helena C. Chui United States
Tuomo Polvikoski
Citations per year, relative to Tuomo Polvikoski Tuomo Polvikoski (= 1×) peers Helena C. Chui

Countries citing papers authored by Tuomo Polvikoski

Since Specialization
Citations

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

Fields of papers citing papers by Tuomo Polvikoski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuomo Polvikoski

This figure shows the co-authorship network connecting the top 25 collaborators of Tuomo Polvikoski. A scholar is included among the top collaborators of Tuomo Polvikoski 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 Tuomo Polvikoski. Tuomo Polvikoski 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.
Andersen, Katrine B., Nathalie Van Den Berge, Casper Skjærbæk, et al.. (2025). Sympathetic and parasympathetic subtypes of body-first Lewy body disease observed in postmortem tissue from prediagnostic individuals. Nature Neuroscience. 28(5). 925–936. 9 indexed citations
2.
Angione, Claudio, Priyanka Dey, Tuomo Polvikoski, et al.. (2023). Glycosylation spectral signatures for glioma grade discrimination using Raman spectroscopy. BMC Cancer. 23(1). 174–174. 16 indexed citations
3.
Polvikoski, Tuomo, George S. Karagiannis, Claudio Angione, et al.. (2022). The diagnostic and prognostic potential of the EGFR/MUC4/MMP9 axis in glioma patients. Scientific Reports. 12(1). 19868–19868. 11 indexed citations
4.
Kaivola, Karri, Anna Raunio, Mia Kero, et al.. (2021). Primary age‐related tauopathy in a Finnish population‐based study of the oldest old (Vantaa 85+). Neuropathology and Applied Neurobiology. 48(3). e12788–e12788. 15 indexed citations
5.
Hase, Yoshiki, et al.. (2021). Loss with ageing but preservation of frontal cortical capillary pericytes in post-stroke dementia, vascular dementia and Alzheimer’s disease. Acta Neuropathologica Communications. 9(1). 130–130. 23 indexed citations
6.
Specht, Sabine, Jennifer Duff, Richard Charlton, et al.. (2021). A cryptic intronic LAMA2 insertion in a boy with mild congenital muscular dystrophy type 1A. Neuromuscular Disorders. 31(7). 660–665. 1 indexed citations
7.
Boer, Eva Maria Johanna de, Timothy L. Williams, Mark R. Baker, et al.. (2020). TDP-43 proteinopathies: a new wave of neurodegenerative diseases. Journal of Neurology Neurosurgery & Psychiatry. 92(1). 86–95. 216 indexed citations
8.
Hase, Yoshiki, Kamar E. Ameen‐Ali, William Stevenson, et al.. (2020). Loss of capillary pericytes and the blood–brain barrier in white matter in poststroke and vascular dementias and Alzheimer’s disease. Brain Pathology. 30(6). 1087–1101. 85 indexed citations
9.
Raunio, Anna, Liisa Myllykangas, Mia Kero, et al.. (2017). Amygdala α-Synuclein Pathology in the Population-Based Vantaa 85+ Study. Journal of Alzheimer s Disease. 58(3). 669–674. 5 indexed citations
10.
Hooshmand, Babak, Tuomo Polvikoski, Miia Kivipelto, et al.. (2013). Plasma homocysteine, Alzheimer and cerebrovascular pathology: a population-based autopsy study. Brain. 136(9). 2707–2716. 107 indexed citations
11.
Allan, Louise, Elise Rowan, Alan Thomas, et al.. (2013). Long-term incidence of depression and predictors of depressive symptoms in older stroke survivors. The British Journal of Psychiatry. 203(6). 453–460. 44 indexed citations
12.
Wagner, Matias, Amina Chaouch, Juliane Müller, et al.. (2012). Presymptomatic late-onset Pompe disease identified by the dried blood spot test. Neuromuscular Disorders. 23(1). 89–92. 8 indexed citations
13.
Campbell, G., Amy K. Reeve, I. Ziabreva, et al.. (2012). Mitochondrial DNA deletions and depletion within paraspinal muscles. Neuropathology and Applied Neurobiology. 39(4). 377–389. 16 indexed citations
14.
Davis, Daniel, Graciela Muñiz‐Terrera, Hannah A. D. Keage, et al.. (2012). Delirium is a strong risk factor for dementia in the oldest-old: a population-based cohort study. Brain. 135(9). 2809–2816. 369 indexed citations breakdown →
15.
Oinas, Minna, Anders Paetau, Liisa Myllykangas, et al.. (2009). α-Synuclein pathology in the spinal cord autonomic nuclei associates with α-synuclein pathology in the brain: a population-based Vantaa 85+ study. Acta Neuropathologica. 119(6). 715–722. 33 indexed citations
16.
Tanskanen, Maarit, Terhi Peuralinna, Tuomo Polvikoski, et al.. (2008). Senile systemic amyloidosis affects 25% of the very aged and associates with genetic variation inalpha2‐macroglobulinandtau: A population‐based autopsy study. Annals of Medicine. 40(3). 232–239. 396 indexed citations
17.
Polvikoski, Tuomo, Raimo Sulkava, Sari Rastas, et al.. (2006). Incidence of Dementia in Very Elderly Individuals: A Clinical, Neuropathological and Molecular Genetic Study. Neuroepidemiology. 26(2). 76–82. 32 indexed citations
18.
Ylikoski, Raija, Auli Verkkoniemi, Kati Juva, et al.. (2001). Does Apolipoprotein E Influence Learning and Memory in the Nondemented Oldest Old?. International Psychogeriatrics. 13(4). 451–459. 24 indexed citations
19.
Sulkava, Raimo, et al.. (1997). Depression Measured by the Zung Depression Status Inventory Is Very Rare in a Finnish Population Aged 85 Years and Over. International Psychogeriatrics. 9(3). 359–368. 12 indexed citations
20.
Polvikoski, Tuomo, Raimo Sulkava, Matti Haltia, et al.. (1995). Apolipoprotein E, Dementia, and Cortical Deposition of β-Amyloid Protein. New England Journal of Medicine. 333(19). 1242–1248. 407 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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