Aleksandra Wojtas

11.5k total citations
17 papers, 739 citations indexed

About

Aleksandra Wojtas is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Aleksandra Wojtas has authored 17 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 7 papers in Neurology. Recurrent topics in Aleksandra Wojtas's work include Alzheimer's disease research and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). Aleksandra Wojtas is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). Aleksandra Wojtas collaborates with scholars based in United States, United Kingdom and Italy. Aleksandra Wojtas's co-authors include Rosa Rademakers, Dennis W. Dickson, Neill R. Graff‐Radford, Guojun Bu, Matt Baker, NiCole A. Finch, Zbigniew K. Wszołek, Nicola J. Rutherford, Alexandra M. Nicholson and Matthew Baker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain and Neurology.

In The Last Decade

Aleksandra Wojtas

17 papers receiving 736 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aleksandra Wojtas United States 14 362 331 287 191 130 17 739
Katrin Fellerer Germany 12 457 1.3× 477 1.4× 305 1.1× 295 1.5× 145 1.1× 13 1.0k
Lauren Herl Martens United States 8 427 1.2× 582 1.8× 250 0.9× 288 1.5× 140 1.1× 10 941
Terhi Peuralinna Finland 12 180 0.5× 274 0.8× 505 1.8× 119 0.6× 130 1.0× 14 811
Aivi T. Nguyen United States 13 211 0.6× 149 0.5× 247 0.9× 217 1.1× 142 1.1× 36 779
Alexandra M. Nicholson United States 12 330 0.9× 299 0.9× 255 0.9× 225 1.2× 98 0.8× 17 710
Nienwen Chow United States 16 547 1.5× 232 0.7× 505 1.8× 421 2.2× 78 0.6× 19 1.4k
Takashi Ishizawa Japan 9 495 1.4× 411 1.2× 202 0.7× 199 1.0× 43 0.3× 9 858
Elisa Majounie United Kingdom 19 175 0.5× 595 1.8× 317 1.1× 140 0.7× 132 1.0× 28 941
Qing‐Qing Tao China 16 228 0.6× 211 0.6× 203 0.7× 174 0.9× 117 0.9× 46 646
Matteo Malinverno Italy 16 235 0.6× 253 0.8× 322 1.1× 137 0.7× 43 0.3× 23 859

Countries citing papers authored by Aleksandra Wojtas

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Wojtas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Wojtas

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

All Works

17 of 17 papers shown
1.
Olney, Kimberly C., Aleksandra Wojtas, Michael DeTure, et al.. (2024). Distinct transcriptional alterations distinguish Lewy body disease from Alzheimer’s disease. Brain. 148(1). 69–88. 3 indexed citations
2.
Wojtas, Aleksandra, Eric B. Dammer, Qi Guo, et al.. (2024). Proteomic changes in the human cerebrovasculature in Alzheimer's disease and related tauopathies linked to peripheral biomarkers in plasma and cerebrospinal fluid. Alzheimer s & Dementia. 20(6). 4043–4065. 20 indexed citations
3.
Olney, Kimberly C., Praveen N. Pallegar, Tanner Jensen, et al.. (2022). Widespread choroid plexus contamination in sampling and profiling of brain tissue. Molecular Psychiatry. 27(3). 1839–1847. 13 indexed citations
4.
Wojtas, Aleksandra, Jonathon Sens, Silvia S. Kang, et al.. (2020). Astrocyte-derived clusterin suppresses amyloid formation in vivo. Molecular Neurodegeneration. 15(1). 71–71. 42 indexed citations
5.
Wojtas, Aleksandra, Silvia S. Kang, Maureen Gatherer, et al.. (2017). Loss of clusterin shifts amyloid deposition to the cerebrovasculature via disruption of perivascular drainage pathways. Proceedings of the National Academy of Sciences. 114(33). 104 indexed citations
6.
Wojtas, Aleksandra, Silvia S. Kang, Guojun Bu, Roxana O. Carare, & John Denis Fryer. (2017). [P1–183]: LOSS OF CLUSTERIN SHIFTS AMYLOID DEPOSITION TO THE CEREBROVASCULATURE VIA DISRUPTION OF PERIVASCULAR DRAINAGE PATHWAYS. Alzheimer s & Dementia. 13(7S_Part_6). 1 indexed citations
7.
Kang, Silvia S., Aishe Kurti, Aleksandra Wojtas, et al.. (2016). Identification of plexin A4 as a novel clusterin receptor links two Alzheimer’s disease risk genes. Human Molecular Genetics. 25(16). 3467–3475. 25 indexed citations
8.
Tacik, Paweł, Michael DeTure, Wen-Lang Lin, et al.. (2015). A novel tau mutation, p.K317N, causes globular glial tauopathy. Acta Neuropathologica. 130(2). 199–214. 39 indexed citations
9.
Guerreiro, Rita, José Brás, Aleksandra Wojtas, et al.. (2014). A nonsense mutation in PRNP associated with clinical Alzheimer's disease. Neurobiology of Aging. 35(11). 2656.e13–2656.e16. 27 indexed citations
10.
Sánchez-Contreras, Mónica, Matthew Baker, NiCole A. Finch, et al.. (2014). Genetic Screening and Functional Characterization ofPDGFRBMutations Associated with Basal Ganglia Calcification of Unknown Etiology. Human Mutation. 35(8). 964–971. 42 indexed citations
11.
Shinohara, Mitsuru, Shinsuke Fujioka, Melissa E. Murray, et al.. (2014). Regional distribution of synaptic markers and APP correlate with distinct clinicopathological features in sporadic and familial Alzheimer’s disease. Brain. 137(5). 1533–1549. 93 indexed citations
12.
Nicholson, Alexandra M., NiCole A. Finch, Colleen S. Thomas, et al.. (2014). Progranulin protein levels are differently regulated in plasma and CSF. Neurology. 82(21). 1871–1878. 63 indexed citations
13.
Nicholson, Alexandra M., NiCole A. Finch, Aleksandra Wojtas, et al.. (2013). TMEM106B p.T185S regulates TMEM106B protein levels: implications for frontotemporal dementia. Journal of Neurochemistry. 126(6). 781–791. 70 indexed citations
14.
Wojtas, Aleksandra, Kristin Heggeli, NiCole A. Finch, et al.. (2012). C9ORF72 repeat expansions and other FTD gene mutations in a clinical AD patient series from Mayo Clinic.. PubMed. 1(1). 107–18. 42 indexed citations
15.
Toma-Jonik, Agnieszka, et al.. (2012). Identification of a new mouse sperm acrosome-associated protein. Reproduction. 143(6). 749–757. 12 indexed citations
16.
Benussi, Luisa, Rosa Rademakers, Nicola J. Rutherford, et al.. (2012). Estimating the Age of the Most Common Italian GRN Mutation: Walking Back to Canossa Times. Journal of Alzheimer s Disease. 33(1). 69–76. 15 indexed citations
17.
DeJesus‐Hernandez, Mariely, Jannet Kocerha, NiCole A. Finch, et al.. (2010). De novo truncating FUS gene mutation as a cause of sporadic amyotrophic lateral sclerosis. Human Mutation. 31(5). E1377–E1389. 128 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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