Beat M. Riederer
- Molecular Biology top 5%
- Cell Biology top 1%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 2%
- Developmental Neuroscience top 1%
- Co-authors
- Margaret ShawConstantin BourasRochelle S. CohenGiorgio M. InnocentiIrène M. RiedererEnikò KövariSteven R. GoodmanStefan Catsicas
- Topics
- Microtubule and mitosis dynamics (24 papers)Alzheimer's disease research and treatments (19 papers)Cellular Mechanics and Interactions (16 papers)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Beat M. Riederer
105 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.9k
- Cell Biology 1.2k
- Cellular and Molecular Neuroscience 974
- Physiology 823
- Developmental Neuroscience 430
Countries citing papers authored by Beat M. Riederer
This map shows the geographic impact of Beat M. Riederer'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 Beat M. Riederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beat M. Riederer more than expected).
Fields of papers citing papers by Beat M. Riederer
This network shows the impact of papers produced by Beat M. Riederer. 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 Beat M. Riederer. The network helps show where Beat M. Riederer may publish in the future.
Co-authorship network of co-authors of Beat M. Riederer
This figure shows the co-authorship network connecting the top 25 collaborators of Beat M. Riederer. A scholar is included among the top collaborators of Beat M. Riederer 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 Beat M. Riederer. Beat M. Riederer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 53 | |
| 3 | 28 | |
| 4 | 70 | |
| 5 | 105 | |
| 6 | 165 | |
| 7 | 8 | |
| 8 | 18 | |
| 9 | Acute CNS axonal injury models a subtype of dystrophic neurite in Alzheimer's Disease | 5 |
| 10 | 32 | |
| 11 | Brain spectrin and friends | 2 |
| 12 | 15 | |
| 13 | 15 | |
| 14 | 112 | |
| 15 | 3 | |
| 16 | 27 | |
| 17 | 15 | |
| 18 | 3 | |
| 19 | 42 | |
| 20 | 135 |
About Beat M. Riederer
Beat M. Riederer is a scholar working on Cell Biology, Developmental Neuroscience and Physiology, having authored 105 papers that have together received 3.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (24 papers), Alzheimer's disease research and treatments (19 papers) and Cellular Mechanics and Interactions (16 papers). The work is most often cited by research in Developmental Neuroscience (430 citations), Cell Biology (1.2k citations) and Cellular and Molecular Neuroscience (974 citations). Beat M. Riederer has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Margaret Shaw, Constantin Bouras, Rochelle S. Cohen, Giorgio M. Innocenti, Irène M. Riederer, Enikò Kövari, Steven R. Goodman, Stefan Catsicas, Andrew Matus and Richard A. Marugg. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.