Zuzana Mušová
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Neurology
- Genetics
- Cardiology and Cardiovascular Medicine
- Co-authors
- Zdeněk SedláčekRadim MazanecAnna KřepelováJosef KrausEdvard EhlerMarkéta HavlovičováT MaríkováTomáš Procházka
- Topics
- Genetic Neurodegenerative Diseases (12 papers)Mitochondrial Function and Pathology (9 papers)Genetics and Neurodevelopmental Disorders (5 papers)
- Partner nations
- CzechiaAustriaUnited Kingdom
In The Last Decade
Zuzana Mušová
15 papers receiving 257 citations
Peers
Comparison fields: 5 of 33
- Molecular Biology 221
- Cellular and Molecular Neuroscience 166
- Neurology 61
- Genetics 35
- Cardiology and Cardiovascular Medicine 28
Countries citing papers authored by Zuzana Mušová
This map shows the geographic impact of Zuzana Mušová'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 Zuzana Mušová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuzana Mušová more than expected).
Fields of papers citing papers by Zuzana Mušová
This network shows the impact of papers produced by Zuzana Mušová. 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 Zuzana Mušová. The network helps show where Zuzana Mušová may publish in the future.
Co-authorship network of co-authors of Zuzana Mušová
This figure shows the co-authorship network connecting the top 25 collaborators of Zuzana Mušová. A scholar is included among the top collaborators of Zuzana Mušová 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 Zuzana Mušová. Zuzana Mušová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 15 | |
| 10 | 7 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | 110 | |
| 14 | Autosomálně recesivní a X-vázané ataxie | 0 |
| 15 | 3 | |
| 16 | Autosomálně dominantní spinocerebelární ataxie | 0 |
| 17 | 20 | |
| 18 | Concomitancy of mutation in FRDA gene and FMR1 premutation in 58 year-old woman. | 3 |
| 19 | 10 | |
| 20 | [Genetic study of 20 patients with autism disorders]. | 1 |
About Zuzana Mušová
Zuzana Mušová is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 21 papers that have together received 261 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (12 papers), Mitochondrial Function and Pathology (9 papers) and Genetics and Neurodevelopmental Disorders (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (166 citations), Neurology (61 citations) and Molecular Biology (221 citations). Zuzana Mušová has collaborated with scholars based in Czechia, Austria and United Kingdom. Frequent co-authors include Zdeněk Sedláček, Radim Mazanec, Anna Křepelová, Josef Kraus, Edvard Ehler, Markéta Havlovičová, T Maríková, Tomáš Procházka, Alena Zumrová and Martin Vyhnálek. Their work appears in journals such as PLoS ONE, Annals of Neurology and Biochemical and Biophysical Research Communications.
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.