Caroline M. Tanner
- Neurology top 0.01%
- Cellular and Molecular Neuroscience top 0.1%
- Molecular Biology top 2%
- Neurology top 0.1%
- Physiology top 0.5%
- Co-authors
- Patrik BrundinSamuel M. GoldmanAnthony E. LangWerner PoeweKlaus SeppiGlenda M. HallidayJens VolkmannAnette Schrag
- Topics
- Parkinson's Disease Mechanisms and Treatments (171 papers)Neurological disorders and treatments (75 papers)Botulinum Toxin and Related Neurological Disorders (23 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Caroline M. Tanner
251 papers receiving 23.4k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Neurology 16.5k
- Cellular and Molecular Neuroscience 5.7k
- Molecular Biology 3.7k
- Neurology 2.9k
- Physiology 2.9k
Countries citing papers authored by Caroline M. Tanner
This map shows the geographic impact of Caroline M. Tanner'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 Caroline M. Tanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline M. Tanner more than expected).
Fields of papers citing papers by Caroline M. Tanner
This network shows the impact of papers produced by Caroline M. Tanner. 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 Caroline M. Tanner. The network helps show where Caroline M. Tanner may publish in the future.
Co-authorship network of co-authors of Caroline M. Tanner
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline M. Tanner. A scholar is included among the top collaborators of Caroline M. Tanner 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 Caroline M. Tanner. Caroline M. Tanner 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 | 2 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | The epidemiology of Parkinson's diseasebreakdown → | 327 |
| 8 | 15 | |
| 9 | 12 | |
| 10 | 25 | |
| 11 | 45 | |
| 12 | 31 | |
| 13 | 5 | |
| 14 | 13 | |
| 15 | Parkinson diseasebreakdown → | 3343 |
| 16 | 113 | |
| 17 | 20 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Parkinson Disease in Twinsbreakdown → | 636 |
About Caroline M. Tanner
Caroline M. Tanner is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 254 papers that have together received 24.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (171 papers), Neurological disorders and treatments (75 papers) and Botulinum Toxin and Related Neurological Disorders (23 papers). The work is most often cited by research in Neurology (16.5k citations), Neurology (2.9k citations) and Cellular and Molecular Neuroscience (5.7k citations). Caroline M. Tanner has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Patrik Brundin, Samuel M. Goldman, Anthony E. Lang, Werner Poewe, Klaus Seppi, Glenda M. Halliday, Jens Volkmann, Anette Schrag, Christopher G. Goetz and Robert D. Abbott. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.