Katherina Mair
- Neurology top 1%
- Cellular and Molecular Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Co-authors
- Klaus SeppiWerner PoeweGregor K. WenningMichael SchockeChristoph ScherflerFrancisco CardosoRegina EsterhammerChristian Kremser
- Topics
- Parkinson's Disease Mechanisms and Treatments (16 papers)Neurological disorders and treatments (15 papers)Genetic Neurodegenerative Diseases (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageBrain
- Partner nations
- AustriaItalyUnited Kingdom
In The Last Decade
Katherina Mair
20 papers receiving 986 citations
Peers
Comparison fields: 5 of 78
- Neurology 830
- Cellular and Molecular Neuroscience 354
- Radiology, Nuclear Medicine and Imaging 209
- Endocrinology, Diabetes and Metabolism 130
- Physiology 103
Countries citing papers authored by Katherina Mair
This map shows the geographic impact of Katherina Mair'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 Katherina Mair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherina Mair more than expected).
Fields of papers citing papers by Katherina Mair
This network shows the impact of papers produced by Katherina Mair. 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 Katherina Mair. The network helps show where Katherina Mair may publish in the future.
Co-authorship network of co-authors of Katherina Mair
This figure shows the co-authorship network connecting the top 25 collaborators of Katherina Mair. A scholar is included among the top collaborators of Katherina Mair 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 Katherina Mair. Katherina Mair 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 | 4 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 31 | |
| 6 | 51 | |
| 7 | 79 | |
| 8 | 9 | |
| 9 | 66 | |
| 10 | 17 | |
| 11 | 23 | |
| 12 | 92 | |
| 13 | 69 | |
| 14 | 51 | |
| 15 | 172 | |
| 16 | 52 | |
| 17 | 33 | |
| 18 | 38 | |
| 19 | 82 | |
| 20 | 114 |
About Katherina Mair
Katherina Mair is a scholar working on Neurology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (16 papers), Neurological disorders and treatments (15 papers) and Genetic Neurodegenerative Diseases (8 papers). The work is most often cited by research in Neurology (830 citations), Cellular and Molecular Neuroscience (354 citations) and Neurology (84 citations). Katherina Mair has collaborated with scholars based in Austria, Italy and United Kingdom. Frequent co-authors include Klaus Seppi, Werner Poewe, Gregor K. Wenning, Michael Schocke, Christoph Scherfler, Francisco Cardoso, Regina Esterhammer, Christian Kremser, Werner Jaschke and Irene Virgolini. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain.
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.