Wioletta Krysa
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Neurology top 10%
- Neurology top 10%
- Genetics
- Co-authors
- Anna SułekJacek ZarembaMaria RakowiczElżbieta ZdzienickaIwona StępniakJacek PilchJarosław SławekAnna Łusakowska
- Topics
- Genetic Neurodegenerative Diseases (16 papers)Mitochondrial Function and Pathology (7 papers)Neurological diseases and metabolism (4 papers)
In The Last Decade
Wioletta Krysa
20 papers receiving 266 citations
Peers
Comparison fields: 5 of 42
- Cellular and Molecular Neuroscience 197
- Molecular Biology 112
- Neurology 95
- Neurology 81
- Genetics 52
Countries citing papers authored by Wioletta Krysa
This map shows the geographic impact of Wioletta Krysa'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 Wioletta Krysa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wioletta Krysa more than expected).
Fields of papers citing papers by Wioletta Krysa
This network shows the impact of papers produced by Wioletta Krysa. 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 Wioletta Krysa. The network helps show where Wioletta Krysa may publish in the future.
Co-authorship network of co-authors of Wioletta Krysa
This figure shows the co-authorship network connecting the top 25 collaborators of Wioletta Krysa. A scholar is included among the top collaborators of Wioletta Krysa 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 Wioletta Krysa. Wioletta Krysa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 33 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 25 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 50 | |
| 14 | 25 | |
| 15 | 3 | |
| 16 | Muscle pathology in myotonic dystrophy: light and electron microscopic investigation in eighteen patients. | 15 |
| 17 | 19 | |
| 18 | Screening for premutation in the FMR1 gene in male patients suspected of spinocerebellar ataxia. | 9 |
| 19 | Searching for mutation in the JPH3, ATN1 and TBP genes in Polish patients suspected of Huntington's disease and without mutation in the IT15 gene. | 11 |
| 20 | CAG repeat polymorphism in the androgen receptor (AR) gene of SBMA patients and a control group. | 7 |
About Wioletta Krysa
Wioletta Krysa is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 20 papers that have together received 271 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (16 papers), Mitochondrial Function and Pathology (7 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (197 citations), Neurology (81 citations) and Neurology (95 citations). Wioletta Krysa has collaborated with scholars based in Poland, Germany and Sweden. Frequent co-authors include Anna Sułek, Jacek Zaremba, Maria Rakowicz, Elżbieta Zdzienicka, Iwona Stępniak, Jacek Pilch, Jarosław Sławek, Anna Łusakowska, Ralf Reilmann and Michał Harciarek. Their work appears in journals such as Journal of the Neurological Sciences, Muscle & Nerve and Journal of the International Neuropsychological Society.
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.