Aleksandra Wojtas
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 5
- Amyotrophic Lateral Sclerosis Research 5
- Neurological diseases and metabolism 2
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 5
- Amyotrophic Lateral Sclerosis Research 5
- Neurological diseases and metabolism 2
- Physiology top 10%
- Alzheimer's disease research and treatments 9
- Genetics top 10%
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- Clusterin in disease pathology 4
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- S100 Proteins and Annexins 3
- Bioinformatics and Genomic Networks 2
- Cancer-related gene regulation 2
- Co-authors
- Rosa RademakersDennis W. DicksonNeill R. Graff‐RadfordGuojun BuMatt BakerNiCole A. FinchNicola J. RutherfordZbigniew K. Wszołek
- Cited by
- NeurologyPhysiology
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Aleksandra Wojtas
17 papers receiving 736 citations
Peers
Comparison fields: 5 of 67
- Neurology 191
- Neurology 331
- Physiology 362
- Genetics 130
- Cellular and Molecular Neuroscience 81
Countries citing papers authored by Aleksandra Wojtas
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
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
The 25 scholars most cited alongside Aleksandra Wojtas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 20 | |
| 3 | 2022 | 13 | |
| 4 | 2020 | 42 | |
| 5 | 2017 | 104 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 25 | |
| 8 | 2015 | 39 | |
| 9 | 2014 | 27 | |
| 10 | 2014 | 93 | |
| 11 | 2014 | 42 | |
| 12 | 2014 | 63 | |
| 13 | 2013 | 70 | |
| 14 | 2012 | 12 | |
| 15 | C9ORF72 repeat expansions and other FTD gene mutations in a clinical AD patient series from Mayo Clinic. | 2012 | 42 |
| 16 | 2012 | 15 | |
| 17 | 2010 | 128 |
About Aleksandra Wojtas
Aleksandra Wojtas is a scholar working on Neurology, Neurology and Physiology, having authored 17 papers that have together received 739 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Clusterin in disease pathology (4 papers), S100 Proteins and Annexins (3 papers), Neurological diseases and metabolism (2 papers), Bioinformatics and Genomic Networks (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Neurology (191 citations), Neurology (331 citations) and Physiology (362 citations). Aleksandra Wojtas has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Rosa Rademakers, Dennis W. Dickson, Neill R. Graff‐Radford, Guojun Bu, Matt Baker, NiCole A. Finch, Nicola J. Rutherford, Zbigniew K. Wszołek, John Denis Fryer and Alexandra M. Nicholson.
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.