Tainá M. Marques

742 total citations
11 papers, 329 citations indexed

About

Tainá M. Marques is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Tainá M. Marques has authored 11 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 6 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Tainá M. Marques's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (6 papers) and Neurological disorders and treatments (4 papers). Tainá M. Marques is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (6 papers) and Neurological disorders and treatments (4 papers). Tainá M. Marques collaborates with scholars based in Netherlands, United States and Germany. Tainá M. Marques's co-authors include Marcel M. Verbeek, H. Bea Kuiperij, Anouke van Rumund, Rianne A.J. Esselink, Ilona B. Bruinsma, Markus Otto, Patrick Oeckl, Bas R. Bloem, Marjolein B. Aerts and Bastiaan R. Bloem and has published in prestigious journals such as Neurology, Journal of Neurology Neurosurgery & Psychiatry and Alzheimer s & Dementia.

In The Last Decade

Tainá M. Marques

10 papers receiving 326 citations

Peers

Tainá M. Marques
Marjolein B. Aerts Netherlands
Tainá M. Marques
Citations per year, relative to Tainá M. Marques Tainá M. Marques (= 1×) peers Marjolein B. Aerts

Countries citing papers authored by Tainá M. Marques

Since Specialization
Citations

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

Fields of papers citing papers by Tainá M. Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tainá M. Marques. 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 Tainá M. Marques. The network helps show where Tainá M. Marques may publish in the future.

Co-authorship network of co-authors of Tainá M. Marques

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

All Works

11 of 11 papers shown
1.
Schade, Sebastian, Soumyabrata Ghosh, Alícia Garrido, et al.. (2025). Identifying individuals at-risk of developing Parkinson’s disease using a population-based recruitment strategy: The Healthy Brain Ageing Kassel Study. npj Parkinson s Disease. 11(1). 216–216.
2.
Oeckl, Patrick, Sarah Anderl‐Straub, Christine A. F. Von Arnim, et al.. (2022). Serum GFAP differentiates Alzheimer’s disease from frontotemporal dementia and predicts MCI-to-dementia conversion. Journal of Neurology Neurosurgery & Psychiatry. 93(6). 659–667. 64 indexed citations
3.
Zhu, Xiaoyue, Anna M. de Kort, Tainá M. Marques, et al.. (2022). Elevated expression of urokinase plasminogen activator in rodent models and patients with cerebral amyloid angiopathy. Neuropathology and Applied Neurobiology. 48(5). e12804–e12804. 2 indexed citations
4.
Pavelka, Lukas, Armin Rauschenberger, Zied Landoulsi, et al.. (2022). Body-First Subtype of Parkinson’s Disease with Probable REM-Sleep Behavior Disorder Is Associated with Non-Motor Dominant Phenotype. Journal of Parkinson s Disease. 12(8). 2561–2573. 19 indexed citations
5.
Marques, Tainá M., Anouke van Rumund, Iris Kersten, et al.. (2021). Identification of cerebrospinal fluid biomarkers for parkinsonism using a proteomics approach. npj Parkinson s Disease. 7(1). 107–107. 17 indexed citations
6.
Zhu, Xiaoyue, Anna M. de Kort, Tainá M. Marques, et al.. (2021). Urokinase plasminogen activator (uPA) as a novel biomarker for cerebral amyloid angiopathy. Alzheimer s & Dementia. 17(S4). 1 indexed citations
7.
Verbeek, Marcel M., Anna M. de Kort, Marieke J.H. Wermer, et al.. (2021). Amyloid‐βeta peptides in CSF and plasma discriminate cerebral amyloid angiopathy from controls. Alzheimer s & Dementia. 17(S4). 1 indexed citations
8.
Marques, Tainá M., Anouke van Rumund, Patrick Oeckl, et al.. (2019). Serum NFL discriminates Parkinson disease from atypical parkinsonisms. Neurology. 92(13). e1479–e1486. 95 indexed citations
9.
Marques, Tainá M., Anouke van Rumund, Ilona B. Bruinsma, et al.. (2018). Cerebrospinal Fluid Galectin-1 Levels Discriminate Patients with Parkinsonism from Controls. Molecular Neurobiology. 56(7). 5067–5074. 8 indexed citations
10.
Marques, Tainá M., Anouke van Rumund, H. Bea Kuiperij, & Marcel M. Verbeek. (2017). Biomarkers in cerebrospinal fluid for synucleinopathies, tauopathies, and other neurodegenerative disorders. Handbook of clinical neurology. 146. 99–113. 5 indexed citations
11.
Marques, Tainá M., H. Bea Kuiperij, Ilona B. Bruinsma, et al.. (2016). MicroRNAs in Cerebrospinal Fluid as Potential Biomarkers for Parkinson’s Disease and Multiple System Atrophy. Molecular Neurobiology. 54(10). 7736–7745. 117 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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